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"alumni_type": "masters", "year_joined": "", "research_interests": "", "scholar_url": "", "linkedin_url": "", "image": "", "position": "", "focal_x": "", "focal_y": "", "website_url": "", "gender": "", "department": "", "organization": "", "graduation_year": "2016" }, { "published": "on", "name": "Drew Williams", "title": "", "role": "alumni", "alumni_type": "masters", "year_joined": "", "research_interests": "", "scholar_url": "", "linkedin_url": "", "image": "", "position": "", "focal_x": "", "focal_y": "", "website_url": "", "gender": "", "department": "", "organization": "", "graduation_year": "2014" }, { "published": "on", "name": "Duc Do", "title": "", "role": "alumni", "alumni_type": "masters", "year_joined": "", "research_interests": "", "scholar_url": "", "linkedin_url": "", "image": "", "position": "", "focal_x": "", "focal_y": "", "website_url": "", "gender": "", "department": "", "organization": "", "graduation_year": "2015" }, { "published": "on", "name": "Miftah Uddin", "title": "", "role": "alumni", "alumni_type": "masters", "year_joined": "", "research_interests": "", "scholar_url": "", "linkedin_url": "", "image": "", "position": "", "focal_x": "", "focal_y": "", "website_url": "", "gender": "", "department": "", "organization": "", "graduation_year": "2013" }, { "published": "on", "name": "David Polyak", "title": "", "role": "alumni", "alumni_type": "masters", "year_joined": "", "research_interests": "", "scholar_url": "", "linkedin_url": "", "image": "", "position": "", "focal_x": "", "focal_y": "", "website_url": "", "gender": "", "department": "", "organization": "", "graduation_year": "2013" }, { "published": "on", "name": "Casey O'brien", "title": "", "role": "alumni", "alumni_type": "masters", "year_joined": "", "research_interests": "", "scholar_url": "", "linkedin_url": "", "image": "", "position": "", "focal_x": "", "focal_y": "", "website_url": "", "gender": "", "department": "", "organization": "", "graduation_year": "2013" }, { "published": "on", "name": "Colin Ostberg", "title": "", "role": "alumni", "alumni_type": "masters", "year_joined": "", "research_interests": "", "scholar_url": "", "linkedin_url": "", "image": "", "position": "", "focal_x": "", "focal_y": "", "website_url": "", "gender": "", "department": "", "organization": "", "graduation_year": "2013" }, { "published": "on", "name": "Aaron Zaffke", "title": "", "role": "alumni", "alumni_type": "masters", "year_joined": "", "research_interests": "", "scholar_url": "", "linkedin_url": "", "image": "", "position": "", "focal_x": "", "focal_y": "", "website_url": "", "gender": "", "department": "", "organization": "", "graduation_year": "2013" }, { "published": "on", "name": "Andrew Lize", "title": "", "role": "alumni", "alumni_type": "masters", "year_joined": "", "research_interests": "", "scholar_url": "", "linkedin_url": "", "image": "", "position": "", "focal_x": "", "focal_y": "", "website_url": "", "gender": "", "department": "", "organization": "", "graduation_year": "2012" }, { "published": "on", "name": "Erik Musselman", "title": "", "role": "alumni", "alumni_type": "masters", "year_joined": "", "research_interests": "", "scholar_url": "", "linkedin_url": "", "image": "", "position": "", "focal_x": "", "focal_y": "", "website_url": "", "gender": "", "department": "", "organization": "", "graduation_year": "2012" }, { "published": "on", "name": "Nilothpal Talukder", "title": "", "role": "alumni", "alumni_type": "masters", "year_joined": "", "research_interests": "", "scholar_url": "", "linkedin_url": "", "image": "", "position": "", "focal_x": "", "focal_y": "", "website_url": "", "gender": "", "department": "", "organization": "", "graduation_year": "2006" }, { "published": "on", "name": "Shameem Ahmed", "title": "", "role": "alumni", "alumni_type": "masters", "year_joined": "", "research_interests": "", "scholar_url": "", "linkedin_url": "", "image": "", "position": "", "focal_x": "", "focal_y": "", "website_url": "", "gender": "", "department": "", "organization": "", "graduation_year": "2006" }, { "published": "on", "name": "Moushumi Sharmin", "title": "", "role": "alumni", "alumni_type": "masters", "year_joined": "", "research_interests": "", "scholar_url": "", "linkedin_url": "", "image": "", "position": "", "focal_x": "", "focal_y": "", "website_url": "", "gender": "", "department": "", "organization": "", "graduation_year": "2006" }, { "published": "on", "name": "Weiqiang Wang", "title": "", "role": "alumni", "alumni_type": "masters", "year_joined": "", "research_interests": "", "scholar_url": "", "linkedin_url": "", "image": "", "position": "", "focal_x": "", "focal_y": "", "website_url": "", "gender": "", "department": "", "organization": "", "graduation_year": "2012" }, { "published": "on", "name": "Endadul Hoque", "title": "", "role": "alumni", "alumni_type": "masters", "year_joined": "", "research_interests": "", "scholar_url": "", "linkedin_url": "", "image": "", "position": "", "focal_x": "", "focal_y": "", "website_url": "", "gender": "", "department": "", "organization": "", "graduation_year": "2010" }, { "published": "on", "name": "Chowdury Sharif Hasan", "title": "", "role": "alumni", "alumni_type": "masters", "year_joined": "", "research_interests": "", "scholar_url": "", "linkedin_url": "", "image": "", "position": "", "focal_x": "", "focal_y": "", "website_url": "", "gender": "", "department": "", "organization": "", "graduation_year": "2010" }, { "published": "on", "name": "Nick McGinness", "title": "", "role": "alumni", "alumni_type": "masters", "year_joined": "", "research_interests": "", "scholar_url": "", "linkedin_url": "", "image": "", "position": "", "focal_x": "", "focal_y": "", "website_url": "", "gender": "", "department": "", "organization": "", "graduation_year": "2009" }, { "published": "on", "name": "Sergey Belyankin", "title": "", "role": "alumni", "alumni_type": "masters", "year_joined": "", "research_interests": "", "scholar_url": "", "linkedin_url": "", "image": "", "position": "", "focal_x": "", "focal_y": "", "website_url": "", "gender": "", "department": "", "organization": "", "graduation_year": "2009" }, { "published": "on", "name": "Justin Swanson", "title": "", "role": "alumni", "alumni_type": "masters", "year_joined": "", "research_interests": "", "scholar_url": "", "linkedin_url": "", "image": "", "position": "", "focal_x": "", "focal_y": "", "website_url": "", "gender": "", "department": "", "organization": "", "graduation_year": "2009" }, { "published": "on", "name": "Sazzad Hossain", "title": "", "role": "alumni", "alumni_type": "masters", "year_joined": "", "research_interests": "", "scholar_url": "", "linkedin_url": "", "image": "", "position": "", "focal_x": "", "focal_y": "", "website_url": "", "gender": "", "department": "", "organization": "", "graduation_year": "2009" }, { "published": "on", "name": "Karl Stamm", "title": "", "role": "alumni", "alumni_type": "masters", "year_joined": "", "research_interests": "", "scholar_url": "", "linkedin_url": "", "image": "", "position": "", "focal_x": "", "focal_y": "", "website_url": "", "gender": "", "department": "", "organization": "", "graduation_year": "2008" }, { "published": "on", "name": "K.M. Asif", "title": "", "role": "alumni", "alumni_type": "masters", "year_joined": "", "research_interests": "", "scholar_url": "", "linkedin_url": "", "image": "", "position": "", "focal_x": "", "focal_y": "", "website_url": "", "gender": "", "department": "", "organization": "", "graduation_year": "2008" }, { "published": "on", "name": "Mark Centgraf, Chasqui", "title": "", "role": "alumni", "alumni_type": "masters", "year_joined": "", "research_interests": "", "scholar_url": "", "linkedin_url": "", "image": "", "position": "", "focal_x": "", "focal_y": "", "website_url": "", "gender": "", "department": "", "organization": "", "graduation_year": "2008" }, { "published": "on", "name": "Anahita Vyas", "title": "", "role": "alumni", "alumni_type": "masters", "year_joined": "", "research_interests": "", "scholar_url": "", "linkedin_url": "", "image": "", "position": "", "focal_x": "", "focal_y": "", "website_url": "", "gender": "", "department": "", "organization": "", "graduation_year": "2007" }, { "published": "on", "name": "Md. Haque", "title": "", "role": "alumni", "alumni_type": "masters", "year_joined": "", "research_interests": "", "scholar_url": "", "linkedin_url": "", "image": "", "position": "", "focal_x": "", "focal_y": "", "website_url": "", "gender": "", "department": "", "organization": "", "graduation_year": "2007" }, { "published": "on", "name": "Haifeng Li", "title": "", "role": "alumni", "alumni_type": "masters", "year_joined": "", "research_interests": "", "scholar_url": "", "linkedin_url": "", "image": "", "position": "", "focal_x": "", "focal_y": "", "website_url": "", "gender": "", "department": "", "organization": "", "graduation_year": "2007" }, { "published": "on", "name": "Sang Kim", "title": "", "role": "alumni", "alumni_type": "masters", "year_joined": "", "research_interests": "", "scholar_url": "", "linkedin_url": "", "image": "", "position": "", "focal_x": "", "focal_y": "", "website_url": "", "gender": "", "department": "", "organization": "", "graduation_year": "2006" }, { "published": "on", "name": "Steven Wolfe", "title": "", "role": "alumni", "alumni_type": "masters", "year_joined": "", "research_interests": "", "scholar_url": "", "linkedin_url": "", "image": "", "position": "", "focal_x": "", "focal_y": "", "website_url": "", "gender": "", "department": "", "organization": "", "graduation_year": "2005" }, { "published": "on", "name": "Suresh Anamanamuri", "title": "", "role": "alumni", "alumni_type": "masters", "year_joined": "", "research_interests": "", "scholar_url": "", "linkedin_url": "", "image": "", "position": "", "focal_x": "", "focal_y": "", "website_url": "", "gender": "", "department": "", "organization": "", "graduation_year": "2005" }, { "published": "on", "name": "Golnaz Y. Rahmatabadi", "title": "", "role": "alumni", "alumni_type": "masters", "year_joined": "", "research_interests": "", "scholar_url": "", "linkedin_url": "", "image": "", "position": "", "focal_x": "", "focal_y": "", "website_url": "", "gender": "", "department": "", "organization": "", "graduation_year": "2004" }, { "published": "on", "name": "Sayed Mashroor Mamun", "title": "", "role": "alumni", "alumni_type": "masters", "year_joined": "", "research_interests": "Sayed Mashroor Mamun, currently a Master's student, has over 10 years of experience in software engineering. He previously served as a Principal Software Engineer at Augmedix, a leading provider of remote medical documentation and live clinical support. In this role, he designed and developed HIPAA-compliant live streaming and lossless non-real-time streaming and messaging platforms, which help do", "scholar_url": "https://scholar.google.com/citations?user=J3Cj8DMAAAAJ&hl=en", "linkedin_url": "", "image": "", "position": "", "focal_x": "", "focal_y": "", "website_url": "", "gender": "", "department": "", "organization": "", "graduation_year": "" }, { "published": "on", "name": "Dr. Padmapriya Velupillai Meikandan", "title": "Post-doctoral Researcher", "role": "alumni", "alumni_type": "postdoc", "year_joined": "", "research_interests": "", "scholar_url": "", "linkedin_url": "", "image": "Dr._Priya.jpg", "position": "Post-doctoral Researcher", "focal_x": "", "focal_y": "", "website_url": "", "gender": "", "department": "", "organization": "", "graduation_year": "" } ], "projects": [ { "published": "on", "active": "on", "slug": "mcare-digital-tool-for-parental-self-report-based-symptom-monitoring", "title": "mCARE: Digital tool for parental self-report-based symptom monitoring", "short_description": "We have developed a mobile-based application called mCARE, primarily designed for the treatment and care of children with Autism Spectrum Disorder (ASD) and supported by an NIH grant [5R21MH116726-02]. A total of 300 parents of children with mental health issues have been recruited to build a databa", "description": "We have developed a mobile-based application called mCARE, primarily designed for the treatment and care of children with Autism Spectrum Disorder (ASD) and supported by an NIH grant [5R21MH116726-02]. A total of 300 parents of children with mental health issues have been recruited to build a database and implement the system. We developed this project target to collect data by using a mobile phone obtained from the parents of children with autism rather than a physician. We have developed an intelligent and scalable digital platform to (a) facilitate early diagnosis and interventions, (b) provide intelligent monitoring through the 'Deep Learning' model of Artificial Intelligence, and (c) combat the social stigma associated with these disorders based on Human-Computer Interaction framework of 'Feminist Design'. By analyzing both the quantitative and qualitative data analysis of mCARE, we observed some findings: (a) children's demography can impact the development of their milestone parameter, (b) we can predict the children's development level by providing their demography to ML models, (c) mCARE tool can play an important role for the remote resource-limited LMICs area even in the lockdown period like due to COVID-19 pandemic.", "order": "0", "image": "mCARE.png" }, { "published": "on", "active": "on", "slug": "vois-voice-activated-monitoring-for-chronic-disease-management", "title": "VoiS: Voice-Activated Monitoring for Chronic Disease Management", "short_description": "We have developed an mHealth and Smart Speaker-based application called 'VoiS', primarily designed for a self-monitoring platform for patients with Diabetes and Hypertension and supported by an NIH grant [1R21NR019707-01]. We have integrated motivational strategies with mHealth tools, aiming to tran", "description": "We have developed an mHealth and Smart Speaker-based application called 'VoiS', primarily designed for a self-monitoring platform for patients with Diabetes and Hypertension and supported by an NIH grant [1R21NR019707-01]. We have integrated motivational strategies with mHealth tools, aiming to transform patient behavior. Our innovative VoiS system, distinct from traditional mHealth applications, accepts voice commands, allowing users to input markers of diabetes and hypertension control via a smart speaker (Alexa). Our focus has been on seamlessly integrating motivational strategies and self-management theory with mHealth tools, aiming to bring about a transformative change in patient behavior. We have successfully developed and outlined the architecture of a prototype voice-activated self-monitoring application, VoiS. Unlike conventional mHealth applications that depend on textual input, our VoiS system is designed to accept voice commands. This allows users to verbally input markers of diabetes and hypertension control through a smart speaker, receiving real-time feedback based on these markers. With VoiS's multi-platform compatibility, we ensure broad user accessibility and acceptability.", "order": "1", "image": "VoiS.png" }, { "published": "on", "active": "on", "slug": "mr2a-multifunctional-robotic-assistive-arm-for-activities-of-daily-living-assistance", "title": "mR2A: Multifunctional Robotic Assistive Arm for Activities of Daily Living Assistance", "short_description": "The multifunctional robotic assistive arm mounted on a wheelchair offers a versatile application for enhancing mobility and autonomy for users. The device features two primary operational modes: Wheelchair and Robot Arm Mode. Simple button presses facilitate the transition between these modes, allow", "description": "The multifunctional robotic assistive arm mounted on a wheelchair offers a versatile application for enhancing mobility and autonomy for users. The device features two primary operational modes: Wheelchair and Robot Arm Mode. Simple button presses facilitate the transition between these modes, allowing users to switch seamlessly. The robot arm can perform a variety of movements, including forward, backward, left, right, up, and down motions, as well as rolling and swinging in multiple directions. Each movement is controlled via labeled paddles or buttons, with corresponding label color changes indicating the current action. The arm features a gripper mechanism for grasping objects, which can be opened and closed using specific button commands. The application also includes a Keyboard Mode for more precise control, offering Joint Control, Gripper Mode, and Cartesian Mode, each selectable through button combinations. This intricate system ensures that users can navigate their environment and manipulate objects with ease, significantly improving daily living activities. This research is funded, in part, with Federal funds from The National Institute on Disability, Independent Living, and Rehabilitation Research (NIDILRR) - Disability and Rehabilitation Research Projects (DRRP) under the Application No. DPGE20000218.", "order": "2", "image": "mR2A.png" }, { "published": "on", "active": "on", "slug": "mtocs-mobile-teleophthalmology-in-community-settings", "title": "mTOCS: Mobile Teleophthalmology in Community Settings", "short_description": "We developed an mHealth based App mTOCS (Mobile Teleophthalmology in Community Settings) which can enhance eye health in diabetic populations by addressing barriers such as financial constraints, communication issues, lack of motivation for healthcare, and insufficient health knowledge in minority c", "description": "We developed an mHealth based App mTOCS (Mobile Teleophthalmology in Community Settings) which can enhance eye health in diabetic populations by addressing barriers such as financial constraints, communication issues, lack of motivation for healthcare, and insufficient health knowledge in minority communities. By organizing eye-screening events in community settings like schools and health fairs, mTOCS facilitates access to healthcare in comfortable, familiar environments. Its design supports collaboration among screeners, graders, and staff, ensuring efficient operation and multilingual support to cater to diverse communities. This approach not only reduces the discomfort associated with clinical environments but also makes essential health services more accessible to underserved populations. This work is partially supported by a CTSI grant and funding from the Healthier Wisconsin Partnership Program.", "order": "3", "image": "mTOCS.png" }, { "published": "on", "active": "on", "slug": "ddream-non-invasive-vital-sign-monitoring-from-fingertip-and-facial-video", "title": "dDream: Non-invasive vital sign monitoring from fingertip and facial video", "short_description": "We have developed and design a novel mHealth based platform, named “dDream” to monitor vital sign from fingertip and facial video. It currently possesses the capability to measure heart rate, oxygen saturation from facial video analysis, and a range of biochemical markers including hemoglobin, creat", "description": "We have developed and design a novel mHealth based platform, named “dDream” to monitor vital sign from fingertip and facial video. It currently possesses the capability to measure heart rate, oxygen saturation from facial video analysis, and a range of biochemical markers including hemoglobin, creatinine, HbA1C, and respiration rate, all derived from fingertip video analysis. This platform will also assist care provider to monitor their patients remotely and non-invasively. We also built hardware interfacing with deep learning pipeline to capture figure-tip video and predict vital signs (i.e., hemoglobin level, creatinine, GFR, and CrCl levels) using a smartphone camera with a novel figure-tip box. To predict the vital signs by dDream, a deep transfer model was developed to generate the Photoplethysmography (PPG) signal from the captured figure-tip video. We also experimented with the optical and magnetic properties of blood cells, which determine the photomagnetic effect on red blood cell domination to predict the white blood cells counts. This research is funded partially by Wehr Fellowship, Marquette University.", "order": "4", "image": "dDream.png" }, { "published": "on", "active": "on", "slug": "cappa-computer-guided-action-planning-for-physical-activity", "title": "CAPPA: Computer-guided Action Planning for Physical Activity", "short_description": "We have design and developed a mobile health based (mHealth) platform which can investigate the efficacy of a behavioral coaching intervention in promoting increased physical activity levels among Advocate Aurora Healthcare employees experiencing chronic knee pain. We developed CAPPA as a randomized", "description": "We have design and developed a mobile health based (mHealth) platform which can investigate the efficacy of a behavioral coaching intervention in promoting increased physical activity levels among Advocate Aurora Healthcare employees experiencing chronic knee pain. We developed CAPPA as a randomized controlled trial to evaluate the effectiveness of behavioral coaching in increasing physical activity among Advocate Aurora Healthcare employees with chronic knee symptoms. The trial featured two arms: Arm 1 provided remote, synchronous Brief Action Planning coaching, while Arm 2 offered similar coaching focused on chronic disease management. The impact of the intervention will be assessed through objective data from Fitbit devices. This research is funded partially by partially funded by NOH.", "order": "5", "image": "CAPPA.png" } ], "grants": [ { "published": "on", "title": "Dr. Ahamed Receives NIH Grant for mHealth App Security and Privacy Analysis", "description": "We are pleased to announce that Dr. Sheikh Iqbal Ahamed has received an NIH grant (Grant Number: 9R42LM014356-02A1) for the project titled \"A Framework for mHealth App Security and Privacy Analysis (Phase II).\" This project, running from September 1, 2023, to August 31, 2025, aims to develop and evaluate a comprehensive framework to enhance the security and privacy of mobile health applications.", "order": "0" }, { "published": "on", "title": "Dr. Ahamed Co-Investigator on NIH Grant for Self-Monitoring Support Application", "description": "We are pleased to announce that Dr. Sheikh Iqbal Ahamed is serving as a Co-Investigator on an NIH grant (Grant Number: 1R21NR019707-01A1) for the project titled \"Self-Monitoring Support Application for Adults with Diabetes and Hypertension.\" Led by Principal Investigator Dr. Oh, this project, running from September 17, 2021, to August 31, 2023, aims to develop an application to assist adults in managing diabetes and hypertension through self-monitoring.", "order": "1" }, { "published": "on", "title": "Dr. Ahamed Co-Investigator on NIH Grant for Adolescent Suicide Prevention", "description": "We are pleased to announce that Dr. Sheikh Iqbal Ahamed is serving as a Co-Investigator on an NIH grant (Grant Number: 1R01MH126871) for the project titled \"Adaptive Intervention to Prevent Adolescent Suicidal Behavior Following Psychiatric Hospitalization: A Sequential Multiple Assignment Randomized Trial.\" This project, running from September 17, 2021, to August 31, 2026, aims to develop adaptive interventions to reduce suicide risk among adolescents.", "order": "2" } ], "publications": [ { "published": "on", "year": "2025", "title": "Smartphone based non invasive real time white blood cell counter leveraging blue light and static magnetic field", "authors": "Nafi Us Sabbir Sabith, Masud Rabbani, Kazi Shafiul Alam & Sheikh Iqbal Ahamed", "pub_type": "journal", "description": "The authors present a system called UbiWhite, which uses a smartphone camera (capturing fingertip video) combined with a blue-light filter and a static magnetic field to non-invasively estimate white blood cell (WBC) counts — avoiding the need for needle-based blood draws. In a pilot test with 20 adults, they report reasonably good accuracy relative to a standard complete blood count test (RMSE around 1.04–1.23), though the sample size is small and the system was tested only on one smartphone model. The potential is significant — especially for low-resource settings or frequent monitoring scenarios — but the authors note limitations including the need to validate across more devices, broader patient groups (including abnormal WBC counts), and real-world conditions (e.g., finger condition, skin tones).", "link": "", "order": "0" }, { "published": "on", "year": "2025", "title": "An integrated machine learning and hyperparameter optimization framework for noninvasive creatinine estimation using photoplethysmography signals", "authors": "Parama Sridevi, Zawad Arefin, Sheikh Iqbal Ahamed", "pub_type": "journal", "description": "The authors present a noninvasive technique to estimate blood creatinine levels by analyzing photoplethysmography (PPG) signals using a machine-learning model whose hyperparameters have been optimized. They show that this approach could potentially offer a simpler alternative to traditional lab measurements, though the work is likely at a proof-of-concept stage and would need broader validation and real-world testing.", "link": "", "order": "1" }, { "published": "on", "year": "2025", "title": "EEG based real time classification of consecutive two eye blinks for brain computer interface applications", "authors": "Masud Rabbani, Nafi Us Sabbir Sabith, Anubhav Parida, Iysa Iqbal, Sayed Mashroor Mamun, Rumi Ahmed Khan, Farhad Ahmed & Sheikh Iqbal Ahamed", "pub_type": "journal", "description": "The authors develop a real-time framework using electroencephalogram (EEG) signals to classify three blink states — no blink, single blink, and two consecutive blinks — in one model. They compare traditional machine-learning methods (XGBoost, SVM, neural network) which achieved up to ~89% accuracy, with a deep-learning object-detection approach (a YOLO-based model) that achieved recall ~98.7%, precision ~95.4% and mAP50 ~99.5%, showcasing much stronger performance.", "link": "", "order": "2" }, { "published": "on", "year": "2025", "title": "Noninvasive estimation of blood glucose and HbA1c using Quantum Machine Learning technique", "authors": "Parama Sridevi, Masud Rabbani, Md Hasanul Aziz, Paramita Basak Upama, Sayed Mashroor Mamun, Rumi Ahmed Khan, Sheikh Iqbal Ahamed", "pub_type": "journal", "description": "The authors propose a method to estimate blood glucose and HbA1c (a long-term glucose marker) noninvasively by capturing 10-second signals and applying both quantum and classical machine-learning models. They show promising simulation or pilot performance, suggesting that non-invasive monitoring for diabetes management could be within reach, but they note that further clinical validation, larger datasets, device real-world tests, and regulatory approval remain necessary.", "link": "", "order": "3" }, { "published": "on", "year": "2025", "title": "PulseSight: A novel method for contactless oxygen saturation (SpO₂) monitoring using smartphone cameras, remote photoplethysmography and machine learning", "authors": "Kazi Zawad Arefin, Kazi Shafiul Alam, Sayed Mashroor Mamun, Nafi Us Sabbir Sabith, Masud Rabbani, Parama Sridevi, Sheikh Iqbal Ahamed", "pub_type": "journal", "description": "The authors propose a contactless method to estimate blood oxygen saturation (SpO₂) by using smartphone‐camera video (remote photoplethysmography) together with machine‐learning models to interpret the signals. Their approach shows promise for non‐invasive monitoring, but the study appears to be at a preliminary stage—real-world robustness, varied skin tones, lighting conditions, and clinical validation remain to be fully addressed.", "link": "", "order": "4" }, { "published": "on", "year": "2024", "title": "UbiHeart: A novel approach for non-invasive blood pressure monitoring through real-time facial video", "authors": "Kazi Shafiul Alam, Sayed Mashroor Mamun, Masud Rabbani, Parama Sridevi, Sheikh Iqbal Ahamed", "pub_type": "journal", "description": "In this paper a non-invasive method for monitoring blood pressure (BP) has been proposed, using face video captured by a webcam or smartphone camera. The system uses image-based Pulse Transit Time and Heart Rate Variability to measure BP. A dataset of 90 videos was collected from 12 individuals, approved by the Institutional Review Board. The system, developed as a mobile and web-based application, allows early detection of trends and anomalies, enabling healthcare providers to intervene promptly.", "link": "https://www.sciencedirect.com/science/article/abs/pii/S2352648324000291", "order": "5" }, { "published": "on", "year": "2024", "title": "A Scoping Review on Mobile Health Technology for Assessment and Intervention of Upper Limb Motor Function in Children with Motor Impairments", "authors": "Md Raihan Mia, Sheikh Iqbal Ahamed, Alissa Fial, Samuel Nemanich", "pub_type": "journal", "description": "Upper limb motor dysfunctions affect children's mobility and participation in activities. Assessments can be time-consuming and require specialized equipment. The COVID-19 pandemic has led to the use of mobile health applications to address these issues. A scoping review of 25 studies found that games and task-based tests were effective in assessing hand function and UL movement in children with UL motor impairment. However, barriers to clinical translation include touch screen manipulation, offline data analysis, and age-appropriate application design.", "link": "https://www.liebertpub.com/doi/abs/10.1089/g4h.2023.0224", "order": "6" }, { "published": "on", "year": "2023", "title": "A Chaos-Based Non-Linear Analysis Method for Detecting Human Attention Levels in EEG Signals", "authors": "Masud Rabbani, Sayed Mashroor Mamun, Parama Sridevi, Iysa Iqbal, Anubhav Parida, Anushka Kolli, Hansika Kolli, M Rubaiyat Hossain Mondal, Mohammad Aftab Rasscl, Enayet Hossain, Farhad Ahmed, Sheikh Iqbal Ahamed", "pub_type": "journal", "description": "The paper presents a chaos-theory-based method for detecting human attention level from electroencephalogram (EEG) signals. The study uses chaos theory on the PhysioNet dataset to analyze vital parameters and values for predicting attention levels. The results show an average time delay of 2.50 seconds, an embedding dimension of 4.41, and a correlation dimension of 2.23. This method can potentially develop a robust EEG signal prediction system, potentially impacting diagnosis and treatment, clinical practice, benefits, and risks.", "link": "https://ieeexplore.ieee.org/abstract/document/10431832", "order": "7" }, { "published": "on", "year": "2023", "title": "Towards Developing a Mobile-Based Care (KidneyCare) for Patients with Kidney Diseases Using Ten-second Fingertip Video and PPG with Machine Learning", "authors": "Parama Sridevi, Masud Rabbani, Sayed Mashroor Mamun, Mohammad Syam, Rumi Ahmed Khan, Sheikh Iqbal Ahamed", "pub_type": "journal", "description": "The manuscript presents a non-invasive prototype called KidneyCare, which uses a smartphone camera and NIR LED to capture ten-second fingertip videos. It uses ML models to estimate creatinine, GFR, and CrCl levels, providing a self-monitoring, remote, and self-monitoring point-of-care for kidney conditions.", "link": "https://ieeexplore.ieee.org/abstract/document/10224756", "order": "8" }, { "published": "on", "year": "2023", "title": "A Comprehensive Study for Predicting Chronic Kidney Disease, Diabetes, Hypertension, and Anemia by Machine Learning and Feature Engineering Techniques", "authors": "Parama Sridevi, Masud Rabbani, Sheikh Iqbal Ahamed", "pub_type": "journal", "description": "This study proposes machine learning-based prediction models for Chronic Kidney Disease, Diabetes, Hypertension, and Anemia. The models were analyzed using the Chronic_Kidney_Disease Data Set and Feature Engineering. The Random Forest model performed best for chronic kidney disease prediction, while the Logistic Regression model had the highest accuracy for diabetes. XGBoost model outperformed other models for hypertension prediction, and XGboost model best-predicted anemia. These models can help doctors start disease-management plans early and reduce patient suffering and death rates.", "link": "https://ieeexplore.ieee.org/abstract/document/10224729", "order": "9" }, { "published": "on", "year": "2023", "title": "A Survey of Conversational Agents and Their Applications for Self-Management of Chronic Conditions", "authors": "Min Sook Park, Paramita Basak Upama, Adib Ahmed Anik, Sheikh Iqbal Ahamed, Jake Luo, Shiyu Tian, Masud Rabbani, Hyungkyoung Oh", "pub_type": "journal", "description": "This survey paper explores the potential of conversational agents in healthcare, specifically in chronic condition self-management, highlighting their types, architecture, workflow, and applications in various domains.", "link": "https://ieeexplore.ieee.org/abstract/document/10197109", "order": "10" }, { "published": "on", "year": "2022", "title": "Towards a Survey on Universal Human Vital Signs with prototype for Detection and Record Electronically Acceptable Medical-data (dDream)", "authors": "Masud Rabbani, Kazi Shafiul Alam, Lin He, Shiyu Tian, Mohammad Syam, Iysa Iqbal, Anushka Kolli, Hansika Kolli, Syeda Shefa, Bipasha Sobhani, Paramita Basak Upama, Sheikh Iqbal Ahamed", "pub_type": "journal", "description": "The dDream project is a non-invasive mobile application that uses a front camera to monitor and record heart rate, heart rate-variation, and stress for physical and mental health. Compared to 39 previous projects, it has significant advantages in user accessibility, application, cost-effectiveness, hospitalization monitoring, and human health status. This virtual health monitoring system can be useful for remote health monitoring and telemedicine during the pandemic.", "link": "https://ieeexplore.ieee.org/abstract/document/9842687", "order": "11" }, { "published": "on", "year": "2022", "title": "Evolution of quantum computing: A systematic survey on the use of quantum computing tools", "authors": "Paramita Basak Upama, Md Jobair Hossain Faruk, Mohammad Nazim, Mohammad Masum, Hossain Shahriar, Gias Uddin, Shabir Barzanjeh, Sheikh Iqbal Ahamed, Akond Rahman", "pub_type": "journal", "description": "Quantum Computing (QC) is an emerging paradigm that combines concepts from Quantum Mechanics (QM) to solve complex problems. Despite progress, more research is needed to make QC a working paradigm. This paper surveys various tools, frameworks, and platforms that facilitate QC, analyzing their application and functionality. It discusses the current state of QC, open challenges, and future research directions. The paper concludes that improving existing facilities would benefit the quantum research community.", "link": "https://ieeexplore.ieee.org/abstract/document/9842601", "order": "12" }, { "published": "on", "year": "2022", "title": "A data-driven validation of mobile-based care (mCARE) project for children with ASD in LMICs", "authors": "Masud Rabbani, Munirul M Haque, Dipranjan Das Dipal, Md Ishrak Islam Zarif, Anik Iqbal, Amy Schwichtenberg, Naveen Bansal, Tanjir Rashid Soron, Syed Ishtiaque Ahmed, Sheikh Iqbal Ahamed", "pub_type": "journal", "description": "The study validates the NIH project mCARE, a mobile-based care system for monitoring milestones and behavioral parameters in children with ASD. Initially deployed in Bangladesh, it aimed to develop an app, a data management platform, and increase ASD knowledge among caregivers. The data analysis suggests that mCARE could be applied in both low-and middle-income countries and developed countries for remote monitoring and collective knowledge enhancement.", "link": "https://www.sciencedirect.com/science/article/abs/pii/S2352648322000794", "order": "13" }, { "published": "on", "year": "2022", "title": "Towards developing a voice-activated self-monitoring application (VoiS) for adults with diabetes and hypertension", "authors": "Masud Rabbani, Shiyu Tian, Adib Ahmed Anik, Jake Luo, Min Sook Park, Jeff Whittle, Sheikh Iqbal Ahamed, Hyunkyoung Oh", "pub_type": "journal", "description": "The manuscript describes the development and architecture of a voice-activated self-monitoring application (VoiS) based on motivational strategies and self-management theory. The app allows users to verbally input diabetes and hypertension control markers through a smart speaker, providing real-time feedback to support behavior change. The app will be tested with diverse patients to optimize performance and improve understanding of chronic conditions. It can facilitate remote sharing of control with healthcare providers, reducing clinical care encounters.", "link": "https://ieeexplore.ieee.org/abstract/document/9842741", "order": "14" }, { "published": "on", "year": "2022", "title": "A privacy-preserving national clinical data warehouse: Architecture and analysis", "authors": "Md Raihan Mia, Abu Sayed Md Latiful Hoque, Shahidul Islam Khan, Sheikh Iqbal Ahamed", "pub_type": "journal", "description": "A centralized clinical data repository is crucial for patient care, disease analysis, and improving healthcare policies. Bangladesh faces challenges due to the lack of a unique patient identifier in Electronic Health Records (EHR). An anonymous National Clinical Data Warehouse (NCDW) framework has been designed to overcome these issues. The framework is divided into five stages, including wrapper-based anonymous data acquisition, data loading and staging, transformation, standardization, management, and monitoring. The prototype model facilitates decision support, intelligent disease analysis, and data-driven research.", "link": "https://www.sciencedirect.com/science/article/abs/pii/S2352648321000544", "order": "15" }, { "published": "on", "year": "2021", "title": "An mCARE study on patterns of risk and resilience for children with ASD in Bangladesh", "authors": "Masud Rabbani, Munirul M Haque, Dipranjan Das Dipal, Md Ishrak Islam Zarif, Anik Iqbal, Amy Schwichtenberg, Naveen Bansal, Tanjir Rashid Soron, Syed Ishtiaque Ahmed, Sheikh Iqbal Ahamed", "pub_type": "journal", "description": "The study aimed to evaluate behavioral patterns of risk and resilience for children with autism spectrum disorder (ASD) during and after extended COVID-19 lockdowns. The research involved 300 children with ASD and collected 56,290 behavioral data points from parent cell phones using the mCARE platform. The main outcomes included child social skills, communication use, problematic behaviors, sensory sensitivities, daily living, and play. The study concluded that while COVID-19 lockdowns may not be universally negative, support in areas like problematic behavior could mitigate future risk.", "link": "https://www.nature.com/articles/s41598-021-00793-7", "order": "16" }, { "published": "on", "year": "2021", "title": "Auto-grading OCT images diagnostic tool for retinal diseases", "authors": "Shiyu Tian, Nihel Charfi, Jannatul F Tumpa, Nivedh Mudiam, Velinka Medic, Judy E Kim, Sheikh Iqbal Ahamed", "pub_type": "journal", "description": "Retinal eye disease is a common cause of visual deterioration, and Optical Coherence Tomography (OCT) is a non-invasive diagnostic tool. A study proposes an auto-grading diagnostic tool using convolutional neural networks to classify retinal diseases. The tool can detect uploaded OCT images and automatically generate classification results for Choroidal neovascularization, Diabetic macular edema, multiple drusen, and Normal.", "link": "https://ieeexplore.ieee.org/abstract/document/9529479", "order": "17" }, { "published": "on", "year": "2021", "title": "Informing developmental milestone achievement for children with autism: machine learning approach", "authors": "Munirul M Haque, Masud Rabbani, Dipranjan Das Dipal, Md Ishrak Islam Zarif, Anik Iqbal, Amy Schwichtenberg, Naveen Bansal, Tanjir Rashid Soron, Syed Ishtiaque Ahmed, Sheikh Iqbal Ahamed", "pub_type": "journal", "description": "The study explores the use of mCARE, a mobile-based care system, to improve communication and monitoring of children with autism spectrum disorder in low- and middle-income countries like Bangladesh. It uses machine learning models to track milestone achievement and identify family sociodemographic factors associated with earlier milestone achievement.", "link": "https://medinform.jmir.org/2021/6/e29242/", "order": "18" }, { "published": "on", "year": "2021", "title": "Dynamics Reconstruction of Remote Photoplethysmography", "authors": "Lin He, Kazi Shafiul Alam, Jiachen Ma, Richard Povinelli, Sheikh Iqbal Ahamed", "pub_type": "journal", "description": "This study aims to discover rPPG dynamics from nonlinear signal processing techniques to improve cardiovascular status monitoring accuracy. Using the Univ. Bourgogne Franche-Comt Remote PhotoPlethysmoGraphy dataset, the results show chaotic rPPG signals with an embedding dimension between 3 to 4. Interpolation and bandpass filtering processes can increase complexity and reduce correlation dimensions. Introducing features from reconstructed phase space could improve heart rate variability detection from rPPG.", "link": "https://link.springer.com/chapter/10.1007/978-3-030-99194-4_8", "order": "19" }, { "published": "on", "year": "2021", "title": "MPredA: a machine learning based prediction system to evaluate the autism level improvement", "authors": "Masud Rabbani, Munirul M Haque, Dipranjan Das Dipal, Md Ishrak Islam Zarif, Anik Iqbal, Amy Schwichtenberg, Naveen Bansal, Tanjir Rashid Soron, Syed Ishtiaque Ahmed, Sheikh Iqbal Ahamed", "pub_type": "journal", "description": "This paper presents a machine learning-based prediction system for autism improvement levels (MPredA), allowing parents or clinicians to assess their children's development through a web application. The system uses mCARE data from Bangladesh and uses four machine learning algorithms (Decision Tree, Logistic Regression, K-Nearest Neighbor, and Artificial Neural Network) to predict 16 milestone parameters for every child with ASD. The decision tree algorithm was chosen for the web-based application, achieving 97.5% accuracy with real data.", "link": "https://link.springer.com/chapter/10.1007/978-3-030-99194-4_26", "order": "20" }, { "published": "on", "year": "2020", "title": "Towards developing a mobile-based care for children with autism spectrum disorder (mCARE) in low and middle-income countries (LMICs) like Bangladesh", "authors": "Munirul M Haque, Dipranjan Das Dipal, Masud Rabbani, Md Ishrak Islam Zarif, Anik Iqbal, Shaheen Akhter, Shahana Parveen, Mohammad Rasel, Basana Rani Muhuri, Tanjir Soron, Syed Ishtiaque Ahmed, Sheikh Iqbal Ahamed", "pub_type": "journal", "description": "The paper introduces a mobile-based care system (mCARE) for children with Autism Spectrum Disorder (ASD) in low-and middle-income countries like Bangladesh. mCARE uses a remote Experience Sampling Method (ESM) and caregivers as reporters, utilizing Value Sensitive Design, Human-Computer Interaction, and Fogg's Behavior Model. Implementing mCARE-APP, mCARE-SMS, and mCARE-DMP, the system ensures quality of care and has potential for scaling to serve a large population.", "link": "https://ieeexplore.ieee.org/abstract/document/9202853", "order": "21" }, { "published": "on", "year": "2020", "title": "Understanding veterans expression of anger using social media analysis", "authors": "Nadiyah Johnson, Joseph Coelho, Md Fitrat Hossain, Thomas Kissane, Wylie Frydrychowi, Madiraju Praveen, Zeno Franco, Katinka Hooyer, Priyanka Annapureddy, Sheikh Iqbal Ahamed", "pub_type": "journal", "description": "The study aims to identify pre-crisis data on Angry Outburst (AOB) in social media posts of US service members returning from Iraq and Afghanistan. The research aims to understand how anger is expressed by both veterans and civilians, identifying common terms and language differences. The study aims to expand the knowledge base of AOB-specific pre-crisis events within veteran communities and contribute to a broader study on building preventative mHealth systems to combat PTSD in veterans.", "link": "https://ieeexplore.ieee.org/abstract/document/9202418", "order": "22" }, { "published": "on", "year": "2020", "title": "A step closer to becoming symbiotic with AI through EEG: A review of recent BCI technology", "authors": "Sarthak Dabas, Piyush Saxena, Natalie Nordlund, Sheikh I Ahamed", "pub_type": "journal", "description": "Electroencephalography (EEG) is a noninvasive method used to extract electrical signals from the brain. With advancements in machine learning technology, EEG can be used to extract patterns and derive knowledge. It's used in fields like psychology, robotics, cybersecurity, and neurological disorders treatment. This paper reviews recent developments in the brain-computer interface (BCI) field and devices used in BCI, aiming to promote advancement and development.", "link": "https://ieeexplore.ieee.org/abstract/document/9202606", "order": "23" }, { "published": "on", "year": "2020", "title": "Community-based Retinal Screening with Multilingual Software Support to Overcome Language Barriers of Minority Communities", "authors": "Jannat Tumpa, Riddhiman Adib, Dipranjan Das, Sheikh Iqbal Ahamed, Nathalie Abenoza, Andrew Zolot, Velinka Medic, Judy Kim, Al Castro, Mirtha Sosa Pacheco, Rebecca Rowland, Jay Romant", "pub_type": "journal", "description": "Diabetic eye diseases, particularly diabetic retinopathy, are the leading cause of vision loss worldwide. Barriers to regular retinal screening in minority communities include cost, healthcare disparities, and cultural limitations. This study surveyed 400 participants, finding that community-based screening methods, with native-speaking staff, can overcome these barriers. Integrating multilingual support in electronic health record software is crucial.", "link": "https://dl.acm.org/doi/abs/10.1145/3406865.3418313", "order": "24" }, { "published": "on", "year": "2019", "title": "A novel technique of noninvasive hemoglobin level measurement using hsv value of fingertip image", "authors": "Md Kamrul Hasan, Nazmus Sakib, Joshua Field, Richard R Love, Sheikh I Ahamed", "pub_type": "journal", "description": "A novel smartphone-based noninvasive hemoglobin level prediction model is presented in this paper, analyzing hue, saturation, and value (HSV) of fingertip videos. The model uses RGB pixel intensities of 60 videos from two locations- Blood Center of Wisconsin, USA and AmaderGram, Bangladesh. The model generates two input feature matrices and uses Partial Least Squares (PLS) algorithm. The data is analyzed using Python OpenCV, Matlab, and R statistics tool.", "link": "https://d1wqtxts1xzle7.cloudfront.net/101604510/1910.02579v1-libre.pdf?1682703428=&response-content-disposition=inline%3B+filename%3DA_Novel_Technique_of_Noninvasive_Hemoglo.pdf&Expires=1722146526&Signature=F9B10CYwngQARvoBLO3K3bOi0EDnnsQzDOZPc~3d6StOnuOeva2I7Jfxyef95v4WtWmGxmZFA9zy8q-4O~cdA8yhl-czUcvNmo1D-k5LXwLRvECxqf4cl3OjTw3PWjs1zb0L9Tz7WCjY8P-ScoHtt~deTMHgSEXXdYsQV0UYekwX~5dOLbeSo-l6fQnv7lCaJ9JWmFzwwoZy5tbkzHr8vTd98tsvVOFN9eOFFgS9UGTeUiaB62Ur9NXNrTmbU86aPOqB2QLd3FihgQzkqp7czsimzvkK2Gf2AF4BFDmiORIUnJNrdZ7A5krUVoCCw8kObXpYsV5Dxer-t69jh-VXKA__&Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA", "order": "25" }, { "published": "on", "year": "2019", "title": "A light weight smartphone based human activity recognition system with high accuracy", "authors": "Md Osman Gani, Taskina Fayezeen, Richard J Povinelli, Roger O Smith, Muhammad Arif, Ahmed J Kattan, Sheikh Iqbal Ahamed", "pub_type": "journal", "description": "This study presents a computationally efficient smartphone-based human activity recognizer based on dynamical systems and chaos theory. The approach uses a single accelerometer axis to reduce memory and computational complexity, and a Gaussian mixture model to classify ten different human activities. The approach achieved 100% accuracy across all activities and datasets, requiring 3-7 times less data and time to build reconstructed phase space compared to existing methods. The study also presents a comparative evaluation to compare the proposed approach with state-of-the-art works.", "link": "https://www.sciencedirect.com/science/article/abs/pii/S1084804519301535", "order": "26" }, { "published": "on", "year": "2019", "title": "HeLP ME: Recommendations for non-invasive hemoglobin level prediction in mobile-phone environment", "authors": "Md Kamrul Hasan, Md Hasanul Aziz, Md Ishrak Islam Zarif, Mahmudul Hasan, MMA Hashem, Shion Guha, Richard Love, Sheikh Ahamed", "pub_type": "journal", "description": "The US has a high anemia rate, with 5.6% of the population affected by hemoglobin diseases. The cyan-methemoglobin method is reliable but not portable, results are not immediate, and is unaffordable for most patients in low- and middle-income countries. A non-invasive point-of-care (POC) method for hemoglobin measurement is needed due to its limitations. Current commercial tools have limitations such as challenging data collection methods, complex data analysis processes, affordability, portability, and lack of user-friendliness. A conceptual framework for a noninvasive hemoglobin level estimation system using different types of smartphones and cloud computing paradigm is proposed. Fingertips are recommended for data collection due to easy access, use of three different NIR lighting sources, specific signal processing techniques, and region of interest selection methods. Theoretical foundations can be applied for identifying blood constituent levels non-invasively.", "link": "https://www.researchgate.net/profile/Mma-Hashem/publication/339168497_Noninvasive_Hemoglobin_Level_Prediction_in_a_Mobile_Phone_Environment_State_of_the_Art_Review_and_Recommendations/links/5efabab3a6fdcc4ca43d91b8/Noninvasive-Hemoglobin-Level-Prediction-in-a-Mobile-Phone-Environment-State-of-the-Art-Review-and-Recommendations.pdf", "order": "27" }, { "published": "on", "year": "2019", "title": "Unpacking prevalence and dichotomy in qSOFA parameters: A step towards multi-parameter intelligent sepsis prediction in ICU", "authors": "Nazmus Sakib, Devansh Saxena, Lin He, Paul M Griffin, Sheikh Iqbal Ahamed, Munirul Haque", "pub_type": "journal", "description": "This research investigates the most prevalent criterion for sepsis in the United States, based on qSOFA predictors. Using the MIMIC-III critical care database, the study found tachypnea as the most prevalent sepsis criterion, with two-factored sepsis being the most common scenario. Pearson correlation coefficients confirmed the dichotomy among sepsis parameters, offering design implications for multi-parameter intelligent sepsis prediction in ICUs.", "link": "https://ieeexplore.ieee.org/abstract/document/8834547", "order": "28" }, { "published": "on", "year": "2019", "title": "mTEH: A Decision Support System for Tele-Ophthalmology to Improve Eye Health of Wisconsin Population in Community Settings", "authors": "Jannatul F Tumpa, Riddhiman Adib, Dipranjan Das, Sheikh I Ahamed, Judy Kim, Velinka Medic, Al Castro, Mirtha Pacheco, Rebecca Rowland, Jay Romant", "pub_type": "journal", "description": "mTEH is a teleophthalmology system in southern Wisconsin that coordinates eye-screening events to prevent vision loss and educate about diabetes and eye health, securely managing participant data.", "link": "https://ieeexplore.ieee.org/abstract/document/8908646", "order": "29" }, { "published": "on", "year": "2018", "title": "Confronting autism in urban Bangladesh: unpacking infrastructural and cultural challenges", "authors": "Upol Ehsan, Nazmus Sakib, Md Munirul Haque, Tanjir Soron, Devansh Saxena, Sheikh Iqbal Ahamed, Amy Schwichtenberg, Golam Rabbani, Shaheen Akter, Faruq Alam, Azima Begum, Syed Ishtiaque Ahmed", "pub_type": "journal", "description": "The study explores the challenges of designing mobile assistive technologies for Autism Spectrum Disorder (ASD) in Bangladesh, highlighting the technical, social, and cultural challenges faced by caregivers and care professionals. The findings highlight the broader infrastructural and cultural tensions in the country, and suggest embedded design implications to overcome these challenges.", "link": "https://publications.eai.eu/index.php/phat/article/view/1293", "order": "30" }, { "published": "on", "year": "2018", "title": "A culturally tailored intervention system for cancer survivors to motivate physical activity", "authors": "Golam Mushih Tanimul Ahsan, Jannatul Ferdause Tumpa, Riddhiman Adib, Sheikh Iqbal Ahamed, Daniel Petereit, Linda Burhansstipanov, Linda U Krebs, Mark Dignan", "pub_type": "journal", "description": "Cancer survivors need good health behavior, including exercise and proper diet, to reduce disease recurrence. Low socioeconomic status individuals are more likely to engage in risky behaviors. An mHealth system aims to increase physical activity in Native American populations using culturally appropriate messages and an e-journal for healthcare monitoring. Pilot data evaluation will evaluate system effectiveness.", "link": "https://ieeexplore.ieee.org/abstract/document/8377776", "order": "31" }, { "published": "on", "year": "2018", "title": "Building a tailored text messaging system for smoking cessation in Native American populations", "authors": "Drew Williams, Golam Mushih Tanimul Ahsan, Ivor Addo, Sheikh Iqbal Ahamed, Daniel Petereit, Linda Burhansstipanov, Linda Krebs, Mark Dignan", "pub_type": "journal", "description": "This paper discusses the development of a system for motivating Native American users to quit smoking in South Dakota using text messaging as a daily intervention method. The system focuses on modular message customization options and conversational tone, providing users with personalized options to encourage healthy habits and maintain vigilance against relapse. Personalization focuses on cultural background and personal preferences, making it a low-cost method for promoting healthy lifestyles.", "link": "https://ieeexplore.ieee.org/abstract/document/8377775", "order": "32" }, { "published": "on", "year": "2018", "title": "Smartphone-based human hemoglobin level measurement analyzing pixel intensity of a fingertip video on different color spaces", "authors": "Md Kamrul Hasan, Munirul Haque, Nazmus Sakib, Richard Love, Sheikh I Ahamed", "pub_type": "journal", "description": "This paper presents a smartphone-based non-invasive hemoglobin level prediction model that addresses portability, accuracy, and ease-of-use issues. The model uses RGB information from a 10-second fingertip video to convert it into different color spaces, extract features from these, and apply a Partial Least Squares algorithm. Data from American and Bangladeshi patients was used to evaluate the best color combination, achieving reliable accuracy.", "link": "https://www.sciencedirect.com/science/article/abs/pii/S2352648317300302", "order": "33" }, { "published": "on", "year": "2017", "title": "A privacy preserving framework for RFID based healthcare systems", "authors": "Farzana Rahman, Md Zakirul Alam Bhuiyan, Sheikh Iqbal Ahamed", "pub_type": "journal", "description": "RFID technology is expected to revolutionize healthcare by efficiently tracking supplies, equipment, medications, and patients. However, concerns about privacy arise due to the potential for intercepted data. Existing identification techniques do not adequately address these privacy concerns. To address these, a framework called PrSens-HSAC is proposed. This framework aims to provide increased privacy in RFID-based healthcare systems by implementing a privacy-preserving authentication protocol and access control mechanism. This is the first framework to achieve this.", "link": "https://www.sciencedirect.com/science/article/abs/pii/S0167739X16301819", "order": "34" }, { "published": "on", "year": "2017", "title": "A novel process to extract important information from invisible video captured by smartphone", "authors": "Md Kamrul Hasan, Nazmus Sakib, Joshua Field, Richard R Love, Sheikh I Ahamed", "pub_type": "journal", "description": "Hemoglobin (HB) level measurement is traditionally done through invasive methods, but non-invasive techniques are becoming popular. Smartphones are being used to overcome these issues, as high-end spectrometers, hyperspectral cameras, and optical devices are expensive and unavailable. This smartphone-based non-invasive tool captures video image HSV values at 30 frames per second, potentially making a significant difference in resource-limited countries.", "link": "https://ieeexplore.ieee.org/abstract/document/7928878", "order": "35" }, { "published": "on", "year": "2017", "title": "Anonpri: A secure anonymous private authentication protocol for RFID systems", "authors": "Farzana Rahman, Md Endadul Hoque, Sheikh Iqbal Ahamed", "pub_type": "journal", "description": "Privacy preservation in RFID systems is crucial, and privacy activists are working to design efficient systems. Current protocols require extensive searches for single tags, making them inefficient for large-scale systems. Researchers propose tree-based approaches and group-based authentication for high-speed authentication, but these schemes decrease privacy as more tags are compromised. This paper proposes a group-based anonymous private authentication protocol (AnonPri), which offers higher privacy and better efficiency than exhaustive search methods. The protocol ensures adversaries cannot link tag responses, demonstrating superior privacy compared to group-based methods.", "link": "https://www.sciencedirect.com/science/article/abs/pii/S0020025516305199", "order": "36" }, { "published": "on", "year": "2017", "title": "Analyzing the existing noninvasive hemoglobin measurement techniques", "authors": "Md Kamrul Hasan, Nazmus Sakib, Richard R Love, Sheikh I Ahamed", "pub_type": "journal", "description": "This paper explores noninvasive measurement techniques for hemoglobin, including smartphone-image, IR-LED, spectra-based solutions, and noninvasive point-of-care devices. It discusses the challenges faced by these methods, including cost, accuracy, and portability. The paper presents novel smartphone-based approaches that leverage computation, portability, and affordability, ensuring accuracy and consistency while overcoming data collection and analysis limitations.", "link": "https://ieeexplore.ieee.org/abstract/document/8249080", "order": "37" }, { "published": "on", "year": "2016", "title": "Your walk is my command: gait detection on unconstrained smartphone using IoT system", "authors": "AKM Jahangir Alam Majumder, Piyush Saxena, Sheikh Iqbal Ahamed", "pub_type": "journal", "description": "This study aims to develop a biomechanical model for elderly patients to predict falls based on gait cycle events. The model, Your Walk is My Command, is designed to detect abnormal gait patterns in smartphones, allowing for risk prediction and potentially saving users from future injuries. The model uses Wi-Fi communication to collect insole pressure data discreetly.", "link": "https://ieeexplore.ieee.org/abstract/document/7552106", "order": "38" }, { "published": "on", "year": "2016", "title": "Activity detection using time-delay embedding in multi-modal sensor system", "authors": "Ferdaus Kawsar, Md Kamrul Hasan, Tanvir Roushan, Sheikh Iqbal Ahamed, William C Chu, Richard Love", "pub_type": "journal", "description": "This paper explores remote monitoring of human activities using smart phone devices, focusing on health telematics due to rising healthcare costs. It explores time-delay embedding with expectation-maximization for Gaussian Mixture Model and develops a lower computational cost algorithm by reducing the number of sensors.", "link": "https://link.springer.com/chapter/10.1007/978-3-319-39601-9_44", "order": "39" }, { "published": "on", "year": "2016", "title": "Pain level detection from facial image captured by smartphone", "authors": "Md Kamrul Hasan, Golam Mushih Tanimul Ahsan, Sheikh Iqbal Ahamed, Rechard Love, Reza Salim", "pub_type": "journal", "description": "The study investigates the use of mobile phone applications to accurately detect pain levels in cancer patients. Facial images captured by smartphones are used to classify faces using existing algorithms and infrastructure. The first mobile-based pain management solution was developed, using longitudinal data from Bangladesh, Nepal, and the United States. The personalized model performed better for automatic pain assessment, with training sets containing varying pain levels.", "link": "https://www.jstage.jst.go.jp/article/ipsjjip/24/4/24_598/_article/-char/ja/", "order": "40" }, { "published": "on", "year": "2016", "title": "Crisis warning signs in mhealth for military veterans: A collaborative design approach", "authors": "Zeno Franco, Katinka Hooyer, Rizwana Rizia, AK Patwary, Mathew Armstrong, Bryan Semaan, Craig Kuziemsky, Bob Curry, Sheikh Iqbal Ahamed", "pub_type": "journal", "description": "The study explores the application of crisis theory to a smartphone-based psychosocial support system for US military veterans. The system combines peer-to-peer mentorship with IS support to identify early warning signs for high-risk behaviors. The community collaborative design process, using the Small Stories method, reveals cultural differences and individual perspectives on crisis events.", "link": "https://idl.iscram.org/files/zenofranco/2016/1405_ZenoFranco_etal2016.pdf", "order": "41" }, { "published": "on", "year": "2016", "title": "Towards Modeling Confidentiality in Persuasive Robot Dialogue", "authors": "Ivor D Addo, Sheikh Iqbal Ahamed, William C Chu", "pub_type": "journal", "description": "This literature explores challenges and approaches to modeling confidentiality in human-robot interaction (HRI) dialogue scenarios involving cloud-enabled networked robots. It presents a novel reference model for designing persuasive dialogue systems, addressing the expectation that humanoid robots can maintain privacy and confidentiality in such scenarios, particularly in elderly care use cases.", "link": "https://link.springer.com/chapter/10.1007/978-3-319-39601-9_39", "order": "42" }, { "published": "on", "year": "2015", "title": "A novel wireless system to monitor gait using smartshoe-worn sensors", "authors": "AKM Jahangir A Majumder, Sheikh I Ahamed, Richard J Povinelli, Chandana P Tamma, Roger O Smith", "pub_type": "journal", "description": "This paper presents a multisensory system that uses smartshoe sensors to study abnormal walking patterns, aiming to prevent falls in the elderly population. The system uses pressure sensors and algorithms to extract gait parameters during walking trials. The system has an 89% walking-based classification accuracy, making it the first to automatically detect abnormalities in walking patterns.", "link": "https://ieeexplore.ieee.org/abstract/document/7273692", "order": "43" }, { "published": "on", "year": "2015", "title": "iCanLearn: A mobile application for creating flashcards and social stories for children with autism", "authors": "Aaron Zaffke, Niharika Jain, Norah Johnson, Mohammad Arif Ul Alam, Marta Magiera, Sheikh Iqbal Ahamed", "pub_type": "journal", "description": "The paper discusses the development and evaluation of iCanLearn, a mobile app for creating social stories for children with Autism Spectrum Disorders. The app allows users to create personalized content, share it via Wi-Fi, and is user-friendly.", "link": "https://link.springer.com/chapter/10.1007/978-3-319-14424-5_25", "order": "44" }, { "published": "on", "year": "2015", "title": "Assessment of pain using facial pictures taken with a smartphone", "authors": "Mohammad Adibuzzaman, Colin Ostberg, Sheikh Ahamed, Richard Povinelli, Bhagwant Sindhu, Richard Love, Ferdaus Kawsar, Golam Mushih Tanimul Ahsan", "pub_type": "journal", "description": "A study presents a smart phone-based system for pain expression recognition from facial images, aiming to improve clinical decision-making for cancer patients. The system uses algorithms to classify faces using angular distance and support vector machines, assigning a pain score to each image. The study, conducted in Bangladesh and Nepal, found that personalized models perform better for automatic pain assessment, suggesting the need for varying pain levels in training sets.", "link": "https://ieeexplore.ieee.org/abstract/document/7273690", "order": "45" }, { "published": "on", "year": "2015", "title": "e-ESAS: Evolution of a participatory design-based solution for breast cancer (BC) patients in rural Bangladesh", "authors": "Md Munirul Haque, Ferdaus Kawsar, Md Adibuzzaman, Md Miftah Uddin, Sheikh I Ahamed, Richard Love, Ragib Hasan, Rumana Dowla, Tahmina Ferdousy, Reza Salim", "pub_type": "journal", "description": "Rural women in developing countries face limited healthcare facilities, particularly for long-term feedback-oriented diseases like breast cancer. Sociocultural barriers, financial restrictions, and transportation issues hinder proper assessment. A mobile phone-based remote symptom monitoring system (RSMS) with inspirational videos can help. A field study on 39 breast cancer patients in rural Bangladesh found that e-ESAS, the first mobile-based RSMS in rural context, addresses these challenges and positively impacts patients and doctors' lives.", "link": "https://link.springer.com/article/10.1007/s00779-014-0828-6", "order": "46" }, { "published": "on", "year": "2015", "title": "ipeer: A sociotechnical systems approach for helping veterans with civilian reintegration", "authors": "Rizwana Rizia, Zeno Franco, Katinka Hooyer, Nadiyah Johnson, ABM Kowser Patwary, Golam Mushih Tanimul Ahsan, Bob Curry, Mark Flower, Sheikh Iqbal Ahamed", "pub_type": "journal", "description": "The article proposes iPeer, a mobile-based augment for Dryhootch's peer-mentor program for veterans undergoing civilian reintegration. It tracks veterans' status in real-time and presents it to veteran mentors. The system assesses veterans' social functioning and risk-taking behaviors semiweekly. The article also addresses key issues and provides qualitative evidence on the technology-augmented process's impact on target-users' experience.", "link": "https://dl.acm.org/doi/abs/10.1145/2830629.2830643", "order": "47" }, { "published": "on", "year": "2014", "title": "Mobile peer-mentoring: An approach to make veterans seek mental health-care support a normality", "authors": "Rizwana Rizia, Nadiyah Johnson, ABM Kowser Patwary, Golam Mushih Tanimul Ahsan, Sheikh Iqbal Ahamed, Zeno Franco, Katinka Hooyer, Bob Curry, Mark Flower", "pub_type": "journal", "description": "The paper proposes to expand Dryhootch's veteran peer-mentor program with a mobile-based system, iPeer, to improve efficiency. The program, led by veterans, aims to support veterans during social readjustment. The mobile-based system, used by younger veterans returning from Afghanistan and Iraq, will enhance the existing social process and provide usability findings.", "link": "https://ieeexplore.ieee.org/abstract/document/7014592", "order": "48" }, { "published": "on", "year": "2014", "title": "Efficient detection of counterfeit products in large-scale RFID systems using batch authentication protocols", "authors": "Farzana Rahman, Sheikh Iqbal Ahamed", "pub_type": "journal", "description": "RFID technology is promising for anti-counterfeiting in large-scale applications like supply chain, retail, and pharmaceuticals. However, current authentication protocols are per-tag-based, increasing protocol execution time. A new FSA-based protocol, FTest, is proposed to detect counterfeit tags efficiently in large-scale systems. FTest can determine the validity of a batch of tags with minimal execution time, ensuring the percentage of potential counterfeit products is under a user-defined threshold. Experimental results show FTest performs significantly better than existing methods.", "link": "https://link.springer.com/article/10.1007/s00779-012-0629-8", "order": "49" }, { "published": "on", "year": "2014", "title": "A multi-sensor approach for fall risk prediction and prevention in elderly", "authors": "Akm Jahangir Alam Majumder, Ishmat Zerin, Sheikh Iqbal Ahamed, Roger O Smith", "pub_type": "journal", "description": "This paper proposes a fall prediction system integrating smartphone sensor data with smartshoes to reduce falls. The system uses four pressure sensors and a Wi-Fi communication module to collect data in various environments. The smartphone generates alert messages to warn users about high-risk gait patterns, potentially saving them from falls. The approach was validated using a decision tree with 97.2% accuracy in gait abnormality detection.", "link": "https://dl.acm.org/doi/abs/10.1145/2600617.2600621", "order": "50" }, { "published": "on", "year": "2014", "title": "Findings of mobile based palliative care system: towards formulating a generic framework for measuring QoL", "authors": "Munirul M Haque, Ferdaus Kawsar, Md Adibuzzaman, Sheikh I Ahamed, Richard Love, Rumana Dowla, David Roe, Tahmina Ferdousy, Reza Selim", "pub_type": "journal", "description": "The study presents the results of e-ESAS, a mobile-based symptom monitoring system for terminally ill breast cancer patients in rural Bangladesh. The system, which has been used by 10 patients for 10 months, has helped patients maintain a \"dignified\" life and improved their quality of life, with the results categorized into four categories to measure its contribution.", "link": "https://dl.acm.org/doi/abs/10.4108/icst.pervasivehealth.2014.254960", "order": "51" }, { "published": "on", "year": "2013", "title": "SmartPrediction: A real-time smartphone-based fall risk prediction and prevention system", "authors": "Akm Jahangir Alam Majumder, Ishmat Zerin, Miftah Uddin, Sheikh I Ahamed, Roger O Smith", "pub_type": "journal", "description": "This paper proposes a fall prediction system integrating smartphone sensor data and a Smartshoe. The system uses four pressure sensors and a Wi-Fi communication module to collect data from various environments. It can generate alert messages to warn users about high-risk gait patterns, potentially saving them from falls. The approach was validated with 97.2% accuracy in gait abnormality detection.", "link": "https://dl.acm.org/doi/abs/10.1145/2513228.2513267", "order": "52" }, { "published": "on", "year": "2013", "title": "Toward an mHealth intervention for smoking cessation", "authors": "GM Tanimul Ahsan, Ivor D Addo, S Iqbal Ahamed, Daniel Petereit, Shalini Kanekar, Linda Burhansstipanov, Linda U Krebs", "pub_type": "journal", "description": "The paper presents a mobile health solution using SMS to motivate tobacco use among US users. It implements the Theory of Planned Behavior and a phase-based framework, delivering personalized, evidence-based messages. The system uses machine learning algorithms to consider demographic profiles and smoking history. The system has been evaluated and observed for performance.", "link": "https://ieeexplore.ieee.org/abstract/document/6605814", "order": "53" }, { "published": "on", "year": "2013", "title": "RSSI based indoor localization for smartphone using fixed and mobile wireless node", "authors": "Md Osman Gani, Casey OBrien, Sheikh I Ahamed, Roger O Smith", "pub_type": "journal", "description": "This paper presents a novel indoor localization system using wireless technology, estimating location of mobile devices. The system, which works well outside, has good accuracy on Android and iOS smartphones. It has been used in asset tracking and complex activity recognition.", "link": "https://ieeexplore.ieee.org/abstract/document/6649805", "order": "54" }, { "published": "on", "year": "2013", "title": "iPrevention towards a novel real-time smartphone-based fall prevention system", "authors": "Akm Jahangir Alam Majumder, Farzana Rahman, Ishmat Zerin, William Ebel Jr, Sheikh Iqbal Ahamed", "pub_type": "journal", "description": "Falling is a major cause of hospitalization and death for the elderly, prompting research on smartphone-based fall detection systems. However, the focus should be on fall prevention. This paper proposes a smartphone-based fall prevention system that alerts users about abnormal walking patterns, detecting high-risk gait patterns and saving them from falls. The system uses a gait analysis approach and has been validated with 99.8% accuracy.", "link": "https://dl.acm.org/doi/abs/10.1145/2480362.2480462", "order": "55" }, { "published": "on", "year": "2013", "title": "PriGen: a generic framework to preserve privacy of healthcare data in the cloud", "authors": "Farzana Rahman, Sheikh Iqbal Ahamed, Ji-Jiang Yang, Qing Wang", "pub_type": "journal", "description": "Healthcare IT infrastructures are increasingly relying on cloud computing for data sharing and integration. This shift is expected to revolutionize healthcare by providing ubiquitous access and cost reduction. However, protecting sensitive private healthcare data in untrusted cloud environments is a challenge. A generic framework called PriGen is proposed to preserve privacy by using homomorphic encryption on sensitive information. This framework ensures confidentiality of private information sent to untrusted cloud-based healthcare service providers.", "link": "https://link.springer.com/chapter/10.1007/978-3-642-39470-6_10", "order": "56" }, { "published": "on", "year": "2012", "title": "Gesthaar: An accelerometer-based gesture recognition method and its application in nui driven pervasive healthcare", "authors": "Mridul Khan, Sheikh Iqbal Ahamed, Miftahur Rahman, Ji-Jiang Yang", "pub_type": "journal", "description": "This paper presents a novel system using Haar transform and Support Vector Machines for accelerometer-based gesture recognition, achieving 99% accuracy after tenfold cross validation. This method outperforms existing methods in terms of accuracy and computational complexity, eliminating the need for personalized training and template adaptation.", "link": "https://ieeexplore.ieee.org/abstract/document/6152471", "order": "57" }, { "published": "on", "year": "2012", "title": "A novel location privacy framework without trusted third party based on location anonymity prediction", "authors": "Sheikh Iqbal Ahamed, Md Munirul Haque, Chowdhury Sharif Hasan", "pub_type": "journal", "description": "The paper proposes a novel location privacy framework without trusted third parties (TTP) to address the issue of users providing exact location information. The framework uses probabilistic k-anonymity, predicting the expected number of users in a place, eliminating the need for TTP. This improves query-processing time and minimizes overall response time, while ensuring users' exact location information remains hidden.", "link": "https://dl.acm.org/doi/abs/10.1145/2188379.2188382", "order": "58" }, { "published": "on", "year": "2012", "title": "Americans with disabilities act-Compliance assessment toolkit on smartphone", "authors": "Mohammad Tanviruzzaman, Rizwana Rizia, Sheikh Iqbal Ahamed, Roger Smith", "pub_type": "journal", "description": "The ADA Compliance Assessment Toolkit (ADACAT) is a tool for assessing architectural barriers in the built environment. It includes a Measurement Kit, which can be implemented as a software application on smartphones with sensors like accelerometers, gyroscopes, and microphones. This makes the ADACAT more affordable and portable.", "link": "https://ieeexplore.ieee.org/abstract/document/6340195", "order": "59" }, { "published": "on", "year": "2012", "title": "Findings of e-ESAS: a mobile based symptom monitoring system for breast cancer patients in rural Bangladesh", "authors": "Md Haque, Ferdaus Kawsar, Mohammad Adibuzzaman, Sheikh Ahamed, Richard Love, Rumana Dowla, David Roe, Syed Hossain, Reza Selim", "pub_type": "journal", "description": "The study presents the findings of a 31-week field study on e-ESAS, the first mobile-based remote symptom monitoring system for rural breast cancer patients. The system integrates motivation and automation, allowing patients to become proactive change agents. Despite its early deployment stages, e-ESAS shows potential to improve cancer care by providing doctors with graphical charts, facilitating timely interventions, and improving communication.", "link": "https://dl.acm.org/doi/abs/10.1145/2207676.2208532", "order": "60" }, { "published": "on", "year": "2012", "title": "I am not a goldfish in a bowl: A privacy preserving framework for RFID based healthcare systems", "authors": "Farzana Rahman, Sheikh Iqbal Ahamed, Ji-Jiang Yang, Qing Wang", "pub_type": "journal", "description": "RFID technology has gained attention in healthcare for a decade due to its potential for efficient tracking of supplies, equipment, and patients. However, privacy concerns remain unaddressed in existing protocols and frameworks. Two key privacy preservation techniques are needed: authentication protocols for sensing RFID tags and access control mechanisms to restrict unauthorized access. This paper proposes a component-based framework (PriSens-HSAC) to address these privacy issues in RFID-based healthcare systems.", "link": "https://ieeexplore.ieee.org/abstract/document/6379432", "order": "61" }, { "published": "on", "year": "2011", "title": "An approach to open carbon footprint calculation platform design", "authors": "He Zhang, Yuejiao Ha, Qing Zhou, Ke Zhang, Farzana Rahman, Sheikh Iqbal Ahamed", "pub_type": "journal", "description": "This paper introduces a flexible personal carbon footprint calculation platform for tracking, analyzing, and reducing greenhouse gas emissions at individual and household levels, attracting global attention.", "link": "https://ieeexplore.ieee.org/abstract/document/6166226", "order": "62" }, { "published": "on", "year": "2011", "title": "Design and implementation of an open framework for ubiquitous carbon footprint calculator applications", "authors": "Farzana Rahman, Casey O'Brien, Sheikh I Ahamed, He Zhang, Lin Liu", "pub_type": "journal", "description": "Climate change is a growing global concern, and existing carbon footprint calculators are insufficient for measuring emissions. A platform-agnostic Open Carbon Footprint Framework (OCFF) is proposed to address this issue. OCFF provides interfaces for software developers to incorporate climate change knowledge into their applications, maintaining a clouded knowledge base. The OCFF platform is used to develop a Ubiquitous Carbon Footprint Calculator application (UCFC), which allows users to be aware of their carbon footprint based on their activities. The paper also presents the quantitative model of the platform, the design and implementation of the UCFC application, and the results of a survey on users' awareness and expectations of using a footprint calculator.", "link": "https://www.sciencedirect.com/science/article/abs/pii/S2210537911000448", "order": "63" }, { "published": "on", "year": "2011", "title": "Preserving privacy in wireless sensor networks using reliable data aggregation", "authors": "Farzana Rahman, Endadul Hoque, Sheikh Iqbal Ahamed", "pub_type": "journal", "description": "Wireless sensor networks face challenges in in-network data aggregation, requiring reliable and privacy-preserving schemes. Despite difficulties like collisions, heavy traffic, processing delays, and attacks, REBIVE (ReliaBle Private Data Aggregation Scheme) proposes a new privacy-preserving scheme that maintains data accuracy, privacy, and efficiency while being robust to popular attacks in wireless sensor networks.", "link": "https://dl.acm.org/doi/abs/10.1145/2034594.2034599", "order": "64" }, { "published": "on", "year": "2011", "title": "A feature extraction method for realtime human activity recognition on cell phones", "authors": "Mridul Khan, Sheikh Iqbal Ahamed, Miftahur Rahman, Roger O Smith", "pub_type": "journal", "description": "This paper presents a novel linear-time method for extracting features from acceleration sensor signals to identify human activities. The method performs best when training and testing data are from the same person, with similar accuracy levels to SVM and RBF classifiers.", "link": "https://d1wqtxts1xzle7.cloudfront.net/55547933/A_Feature_Extraction_Method_for_Realtime20180115-25001-1p3vy8i-libre.pdf?1516068866=&response-content-disposition=inline%3B+filename%3DA_Feature_Extraction_Method_for_Realtime.pdf&Expires=1722153481&Signature=MTx-AAs94IIALxRTWxN~M9quLXedY-EMNkT1NGh9TLk9WvdouE~HVxjER3t4wC3srR6~mTMalw~9NvJiMmQeobYIn5U1iHsF~cY9eANTlmnmw0sbrZMv4dePpsCQ2gp7nr1I1ePMKmPEozr1Vt6hLw6UgOSDbQ1xusrNsiDTevrSh~HoahcVw90MLGIHCttV3d8nPKKQKrtBvUAVHqhxPqPgYagswYmhoagREShjAveIi2LkZwt2-m2SvxtyeGeWe312a7tAGnQkpEFACc0a3youEqD~L0Kpo7SLG4TeD3ioojBGecwdvOs6mL9IAzlykvu9OKD4AZwPa4eixyV1pA__&Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA", "order": "65" }, { "published": "on", "year": "2011", "title": "AnonPri: An efficient anonymous private authentication protocol", "authors": "Md Endadul Hoque, Farzana Rahman, Sheikh Iqbal Ahamed", "pub_type": "journal", "description": "Privacy protection is crucial in RFID systems, and researchers propose tree-based and group-based approaches for high-speed authentication. However, these methods have limitations, such as decreasing privacy as more tags are compromised. This paper proposes a group-based anonymous private authentication protocol (AnonPri), which offers higher privacy and better efficiency than exhaustive search approaches. AnonPri provides unlinkability, preventing adversaries from linking responses with tags. Experiments show AnonPri offers higher privacy levels than group-based authentication.", "link": "https://ieeexplore.ieee.org/abstract/document/5767573", "order": "66" }, { "published": "on", "year": "2010", "title": "Enhancing privacy and security of RFID system with serverless authentication and search protocols in pervasive environments", "authors": "Md Endadul Hoque, Farzana Rahman, Sheikh I Ahamed, Jong Hyuk Park", "pub_type": "journal", "description": "Researchers are focusing on the security issues of Radio Frequency Identification (RFID) systems, which balance cost and efficiency. However, ensuring strong privacy is challenging due to inadequate computational storage. This paper proposes a serverless, forward secure, and untraceable authentication protocol for RFID tags, which safeguards both tags and readers against major attacks without server intervention. The protocol also includes a scheme for scalability via ownership transfer, a feature not yet implemented in serverless systems in pervasive environments.", "link": "https://link.springer.com/article/10.1007/s11277-009-9786-0", "order": "67" }, { "published": "on", "year": "2010", "title": "Preventing multi-query attack in location-based services", "authors": "Nilothpal Talukder, Sheikh Iqbal Ahamed", "pub_type": "journal", "description": "Location-based Services (LBS) on mobile devices face privacy concerns due to multi-query attacks. Existing methods hide user locations through cloaking regions, but this doesn't guarantee full immunity. The paper proposes ANNC (Adaptive Nearest Neighborhood Cloaking), which dynamically develops disjoint user sets to share common cloaking regions. This approach balances search efficiency and cloaking quality with higher anonymity levels, making it more efficient than other methods. Experimental evaluations show ANNC is more efficient than other approaches.", "link": "https://dl.acm.org/doi/abs/10.1145/1741866.1741873", "order": "68" }, { "published": "on", "year": "2010", "title": "Design, analysis, and deployment of omnipresent formal trust model (FTM) with trust bootstrapping for pervasive environments", "authors": "Sheikh I Ahamed, Munirul M Haque, Md Endadul Hoque, Farzana Rahman, Nilothpal Talukder", "pub_type": "journal", "description": "The rapid decrease in mobile device size and increased capability has led to a proliferation of small, capable devices in daily life. This has created a need for continuous and invisible interaction among portable devices, which can facilitate ad-hoc resource sharing. However, this can lead to security breaches. A unified trust relationship model is needed to protect against these breaches. This paper presents a context-specific and reputation-based trust model, a multi-hop recommendation protocol, and a flexible behavioral model for interactions.", "link": "https://www.sciencedirect.com/science/article/abs/pii/S0164121209002490", "order": "69" }, { "published": "on", "year": "2010", "title": "Intelligent mobile health monitoring system (IMHMS)", "authors": "Rifat Shahriyar, Md Faizul Bari, Gourab Kundu, Sheikh Iqbal Ahamed, Md Mostofa Akbar", "pub_type": "journal", "description": "Mobile Health Care integrates mobile computing and health monitoring technologies to improve communication between patients, physicians, and healthcare workers. Advances in sensors and wireless communications have enabled the design of low-cost, lightweight bio-sensor nodes capable of sensing, processing, and communicating vital signs. The Intelligent Mobile Health Monitoring System (IMHMS) provides medical feedback to patients through mobile devices based on biomedical and environmental data.", "link": "https://link.springer.com/chapter/10.1007/978-3-642-11745-9_2", "order": "70" }, { "published": "on", "year": "2010", "title": "Preserve your privacy with pco: A privacy sensitive architecture for context obfuscation for pervasive e-community based applications", "authors": "Farzana Rahman, Md Endadul Hoque, Ferdaus Ahmed Kawsar, Sheikh Iqbal Ahamed", "pub_type": "journal", "description": "This paper presents preliminary results of developing a unique architecture of obfuscation techniques for privacy preservation in e-community-based applications. The paper describes the work in developing a privacy-sensitive architecture for Context Obfuscation (PCO) that safeguards users' privacy by generalizing contextual data. The obfuscation procedure uses an ontological description to support multiple levels of granularity. The paper also evaluates a contextual instant messaging application on the Android platform, incorporating level-based privacy of user's contextual information.", "link": "https://ieeexplore.ieee.org/document/5590913", "order": "71" }, { "published": "on", "year": "2009", "title": "ePet: When cellular phone learns to recognize its owner", "authors": "Mohammad Tamviruzzaman, Sheikh Iqbal Ahamed, Chowdhury Sharif Hasan, Casey O'brien", "pub_type": "journal", "description": "This paper proposes an adaptive solution for cellular phone authentication using gait and location tracks. The phone learns intrinsic attributes like voice, face, hand, and fingerprint geometry, and remembers these to check against anomalous behavior. Level-wise authentication is enforced, with higher levels being more stringent. The iPhone's accelerometer and A-GPS module record gait and location signatures. FastDTW algorithm computes similarity scores between gait samples.", "link": "https://dl.acm.org/doi/abs/10.1145/1655062.1655066", "order": "72" }, { "published": "on", "year": "2009", "title": "Design and implementation of S-MARKS: A secure middleware for pervasive computing applications", "authors": "Sheikh Iqbal Ahamed, Haifeng Li, Nilothpal Talukder, Mehrab Monjur, Chowdhury Sharif Hasan", "pub_type": "journal", "description": "The paper presents the design and implementation of S-MARKS, a small, scalable, and robust network for pervasive computing. It incorporates device validation, resource discovery, and a privacy module to ensure continuous and imperceptible interaction between portable devices.", "link": "https://www.sciencedirect.com/science/article/abs/pii/S0164121209000818", "order": "73" }, { "published": "on", "year": "2009", "title": "A privacy enhancing approach for identity inference protection in location-based services", "authors": "Chowdhury S Hasan, Sheikh I Ahamed, Mohammad Tanviruzzaman", "pub_type": "journal", "description": "Advances in mobile devices have made location-based services more accessible, but they still face privacy threats. Most systems use k-anonymity, where users remain indistinguishable among others. However, this doesn't protect privacy. In collaborations between service providers, userpsilas can compromise privacy. This paper proposes a new privacy definition called s-proximity, which is practical and can be effectively integrated into existing systems for security.", "link": "https://ieeexplore.ieee.org/document/5254286", "order": "74" }, { "published": "on", "year": "2009", "title": "Collaboration through computation: incorporating trust model into service-based software systems", "authors": "Mohammad Gias Uddin, Mohammad Zulkernine, Sheikh Iqbal Ahamed", "pub_type": "journal", "description": "This paper presents a trust-based service collaboration approach, based on service-based interactions and recommendations between service providers and requestors. The Context-Aware Trust model (CAT) quantifies this collaboration using context-similarity, time-based ageing, direct and indirect recommendations, and a mechanism to calculate recommendation accuracy. The approach is used in file sharing applications and successfully evaluated by implementing a prototype service-based file sharing grid. Trust properties like risk and context-awareness are incorporated to ensure efficient decision-making in service-based software systems.", "link": "https://link.springer.com/article/10.1007/s11761-009-0037-8", "order": "75" }, { "published": "on", "year": "2009", "title": "Supporting recovery, privacy and security in RFID systems using a robust authentication protocol", "authors": "Md Endadul Hoque, Farzana Rahman, Sheikh Iqbal Ahamed", "pub_type": "journal", "description": "RFID systems are increasingly important for security and privacy, and a Robust Authentication Protocol (RoAP) is proposed to support these aspects. The protocol can recover desynchronized tags and readers, providing robustness. A \"safety ring\" with six major goals is also presented, illustrating the protocol's security and robustness analysis.", "link": "https://dl.acm.org/doi/abs/10.1145/1529282.1529514", "order": "76" }, { "published": "on", "year": "2008", "title": "CAT: a context-aware trust model for open and dynamic systems", "authors": "Mohammad Gias Uddin, Mohammad Zulkernine, Sheikh Iqbal Ahamed", "pub_type": "journal", "description": "The paper presents CAT, an interaction-based Context-Aware Trust model for open and dynamic systems. It addresses trust properties like context and risk awareness, introduces a context-similarity parameter, and introduces a time-based ageing parameter. The model also presents direct and indirect recommendations, and calculates the accuracy of recommendations to differentiate between reliable and unreliable options.", "link": "https://dl.acm.org/doi/abs/10.1145/1363686.1364176", "order": "77" }, { "published": "on", "year": "2008", "title": "A trust-based secure service discovery (TSSD) model for pervasive computing", "authors": "Sheikh I Ahamed, Moushumi Sharmin", "pub_type": "journal", "description": "This paper presents a trust-based secure Service discovery model, TSSD, for pervasive environments. The model allows both secure and non-secure discovery of services, based on mutual trust. It handles communication and service sharing security issues, and incorporates a trust mode for sharing services with unknown devices.", "link": "https://www.sciencedirect.com/science/article/abs/pii/S0140366408004283", "order": "78" }, { "published": "on", "year": "2008", "title": "CCTB: Context correlation for trust bootstrapping in pervasive environment", "authors": "Sheikh I Ahamed, Mehrab Monjur, Mohammad Saiful Islam", "pub_type": "journal", "description": "This paper presents a new mechanism called CCTB (Context Correlation for Trust Bootstrapping) to assign initial trust to handheld devices in pervasive computing environments. It takes advantage of correlations among contexts in a context-ontology and evaluates its effectiveness in two scenarios. The study also implements a prototype for performance measurement using.NET Compact Framework.", "link": "https://ieeexplore.ieee.org/document/4641284", "order": "79" }, { "published": "on", "year": "2008", "title": "S3PR: Secure serverless search protocols for RFID", "authors": "Sheikh I Ahamed, Farzana Rahman, Endadul Hoque, Fahim Kawsar, Tatsuo Nakajima", "pub_type": "journal", "description": "This paper proposes a lightweight, serverless RFID tag searching protocol for practical, low-cost, and secure tag authentication. This protocol efficiently searches specific tags without server intervention and is secure against major security threats, making tag searching a significant issue in the near future.", "link": "https://www.computer.org/csdl/proceedings-article/isa/2008/3126a187/12OmNAolH4h", "order": "80" }, { "published": "on", "year": "2008", "title": "ERAP: ECC based RFID authentication protocol", "authors": "Sheikh Iqbal Ahamed, Farzana Rahman, Endadul Hoque", "pub_type": "journal", "description": "RFID tags are crucial for identification and authentication, especially in thwarting counterfeiting. Public key cryptography, particularly elliptic curve cryptography (ECC), offers a secure, mutual offline authentication protocol. This paper proposes a secure, mutual offline authentication protocol based on ECC and presents a security analysis.", "link": "https://ieeexplore.ieee.org/document/4683139", "order": "81" }, { "published": "on", "year": "2007", "title": "Towards privacy protection in pervasive healthcare", "authors": "Sheikh I Ahamed, Nilothpal Talukder, Achilles D Kameas", "pub_type": "journal", "description": "Pervasive computing in healthcare aims to improve patient independence and quality of life, but challenges such as security, privacy, transparency, and ease of use arise. This paper discusses privacy challenges in designing pervasive environments and addresses them in a home-based patient monitoring system, focusing on individual healthcare information availability and context-aware services.", "link": "https://digital-library.theiet.org/content/conferences/10.1049/cp_20070384", "order": "82" }, { "published": "on", "year": "2007", "title": "ETS (efficient, transparent, and secured) self-healing service for pervasive computing applications", "authors": "Shameem Ahmed, Moushumi Sharmin, Sheikh Iqbal Ahamed", "pub_type": "journal", "description": "The ETS Self-healing service, part of the developing middleware MARKS, aims to provide efficient fault detection and recovery for handheld devices in pervasive computing environments, while maintaining transparency, security, and privacy, making it a promising solution.", "link": "https://epublications.marquette.edu/mscs_fac/389/", "order": "83" }, { "published": "on", "year": "2007", "title": "Usability of mobile computing technologies to assist cancer patients", "authors": "Rezwan Islam, Sheikh I Ahamed, Nilothpal Talukder, Ian Obermiller", "pub_type": "journal", "description": "Medical researchers are exploring new methods for early detection and treatment of incurable diseases, particularly cancer. As life expectancy increases, cancer incidents are more prevalent, particularly in the elderly. Wellness Monitor (WM) is a software that uses small handheld devices like PDAs, cell phones, and wristwatches to ensure secure data availability, customization, and privacy. WM aims to enhance social and psychological contexts for patients and provide continuous psychological assistance.", "link": "https://link.springer.com/chapter/10.1007/978-3-540-76805-0_19", "order": "84" }, { "published": "on", "year": "2007", "title": "An omnipresent formal trust model (FTM) for pervasive computing environment", "authors": "Munirul M Haque, Sheikh I Ahamed", "pub_type": "journal", "description": "Mutual collaboration is crucial in pervasive computing environments, allowing devices to benefit from limited resources. Trust is essential in preventing security breaches. This paper presents a context-specific trust model, the first formal omnipresent trust model for pervasive computing. It includes a recommendation protocol, a flexible behavioral model, and an implementation and evaluation of the model.", "link": "https://www.researchgate.net/publication/4269516_An_Omnipresent_Formal_Trust_Model_FTM_for_Pervasive_Computing_Environment", "order": "85" }, { "published": "on", "year": "2007", "title": "Privacy challenges in context-sensitive access control for pervasive computing environment", "authors": "Sheikh I Ahamed, Nilothpal Talukder, Md Munirul Haque", "pub_type": "journal", "description": "The rise of pervasive devices and applications raises privacy concerns, as information leakage can occur through inference or obfuscation. Traditional access control models, such as Role-based models, are unfit for this dynamic environment. This paper presents a trust-based access control model for pervasive healthcare environments, addressing privacy violations through constraint information satisfaction and eliminating the need for keys or access rights certificates. This lightweight model ensures privacy protection in resource-constrained devices.", "link": "https://ieeexplore.ieee.org/document/4451065", "order": "86" }, { "published": "on", "year": "2006", "title": "Healthcare aide: towards a virtual assistant for doctors using pervasive middleware", "authors": "Moushumi Sharmin, Shameem Ahmed, Sheikh I Ahamed, Munirul M Haque, Ahmed J Khan", "pub_type": "journal", "description": "The use of portable, low-cost handheld devices, Bluetooth, and WiFi has increased user mobility. This paper presents an application called 'Healthcare Aide', designed for convenience, real-time decision making, and user feedback. The application uses pervasive middleware MARKS for resource discovery, knowledge usability, and self-healing, providing transparent support for healthcare professionals.", "link": "https://ieeexplore.ieee.org/document/1599033", "order": "87" }, { "published": "on", "year": "2006", "title": "Marks (middleware adaptability for resource discovery, knowledge usability and self-healing) for mobile devices of pervasive computing environments", "authors": "Moushumi Sharmin, Shameem Ahmed, Sheikh Iqbal Ahamed", "pub_type": "journal", "description": "The increasing use of mobile handheld and wearable devices has led to a growing pervasive computing arena. Despite physical constraints, these devices offer resource-rich functionalities, attracting research in knowledge usability, resource discovery, and self-healing. This paper presents a middleware MARKS, incorporating these features for optimal physical capabilities and security and privacy.", "link": "https://ieeexplore.ieee.org/document/1611611", "order": "88" }, { "published": "on", "year": "2006", "title": "A dependable device discovery approach for pervasive computing middleware", "authors": "Sheikh Iqbal Ahamed, Mohammad Zulkernine, Suresh Anamanamuri", "pub_type": "journal", "description": "This research proposes a reliable device discovery mechanism for mobile applications and middleware services, addressing potential problems in highly adaptive mobile ad-hoc networks. Three new algorithms are presented: a window-based broadcasting algorithm, a connectivity-based dynamic algorithm, and a policy-based scalable algorithm. The algorithms vary in complexity and efficiency depending on the pervasive computing applications. Experimental results are presented to compare and contrast the algorithms.", "link": "https://ieeexplore.ieee.org/document/1625295", "order": "89" }, { "published": "on", "year": "2006", "title": "A survey of middleware for sensor network and challenges", "authors": "Mohammad M Molla, Sheikh Iqbal Ahamed", "pub_type": "journal", "description": "Wireless sensor networks (WSN) are a crucial research area, with middleware facilitating applications like smart environments and health monitoring. However, resource constraints, unreliability, and diverse sensor hardware present new challenges. This paper explores these challenges, compares existing middleware, highlights limitations, and highlights the need for more work to make WSN suitable for real-world usage.", "link": "https://ieeexplore.ieee.org/document/1690705", "order": "90" }, { "published": "on", "year": "2006", "title": "Ssrd+: A privacy-aware trust and security model for resource discovery in pervasive computing environment", "authors": "Moushumi Sharmin, Sheikh I Ahamed, Shameem Ahmed, Haifeng Li", "pub_type": "journal", "description": "SSRD is a secure resource discovery model for devices in pervasive computing environments. SSRD+ extends the model by adding dynamic trust relationships and behavioral characteristics. It also includes a risk model to address network challenges. The model optimizes resource exploration without compromising device performance while ensuring user security and privacy.", "link": "https://ieeexplore.ieee.org/document/4020143", "order": "91" }, { "published": "on", "year": "2005", "title": "SAFE-RD (secure, adaptive, fault tolerant, and efficient resource discovery) in pervasive computing environments", "authors": "Moushumi Sharmin, Shameem Ahmed, Sheikh Iqbal Ahamed", "pub_type": "journal", "description": "This paper proposes the design of SAFE-RD, a resource discovery mechanism for pervasive computing environments. It aims to incorporate security, adaptability, fault tolerance, and efficiency features, as part of the ongoing research project MARKS.", "link": "https://ieeexplore.ieee.org/document/1425156", "order": "92" }, { "published": "on", "year": "2005", "title": "Towards an intrusion detection system for pervasive computing environments", "authors": "Pradeep Kannadiga, Mohammad Zulkernine, Sheikh Iqbal Ahamed", "pub_type": "journal", "description": "This paper discusses the challenges and characteristics of intrusion detection in pervasive computing environments, which are often mobile, embedded, and embedded handheld devices. It presents a mobile agents-based solution for both infrastructure-based networks and pervasive computing devices, addressing the need for improved security measures.", "link": "https://ieeexplore.ieee.org/document/1425157", "order": "93" }, { "published": "on", "year": "2005", "title": "A smart meeting room with pervasive computing technologies", "authors": "Shameem Ahmed, Moushumi Sharmin, Sheikh Iqbal Ahamed", "pub_type": "journal", "description": "This paper presents a smart meeting room design that detects meeting start and end, supports participant context information, and enhances knowledge usability, playing a crucial role in meeting detection and other pervasive computing applications.", "link": "https://ieeexplore.ieee.org/document/1434915", "order": "94" }, { "published": "on", "year": "2005", "title": "Knowledge Usability and its Characteristics for Pervasive Computing.", "authors": "Shameem Ahmed, Moushumi Sharmin, Sheikh Iqbal Ahamed", "pub_type": "journal", "description": "This paper introduces the concept of Knowledge Usability, a new attribute for user applications in a pervasive computing environment. It aims to eliminate limitations in current features like contextsensitivity, situation-awareness, and ad hoc communication, while addressing user needs and providing illustrative examples.", "link": "https://d1wqtxts1xzle7.cloudfront.net/49194203/Knowledge_Usability_and_its_Characterist20160928-5346-1ez7zn3-libre.pdf?1475112094=&response-content-disposition=inline%3B+filename%3DKnowledge_Usability_and_its_Characterist.pdf&Expires=1722168972&Signature=E-7u-Mv1o1rYBw2Im4kiz91cXDWEO-xplh0v9ZZkz3Sihb8zYRr0amErOJw3pAHOZ2HrS5zCWIM09tR2xwktvrnhMiclPO3XeFWsWc8-2a3mxWRKWEeBadTabubzADMLy7~GEKKae4aXp46ucVjw8rYvrtPH1NsgG2BDAicc2Qbr8IYDRl5kzNQEthkRxmOnTkOIb27o3JpG67bE2M3ZQxCthlLH9plIAoflrQIsn-8WZupUBvKKVGMK8TUpbiOZDLyGNfp3QEOxf-MmfMMI0T0rBLzFKd9b6GLU~DGFqAVsIPsDesJo5hFp~G03APJfderJLEU1vUccIjc5D6S-Ig__&Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA", "order": "95" }, { "published": "on", "year": "2005", "title": "An assessment tool for out of class learning using pervasive computing technologies", "authors": "Sheikh I Ahamed, Moushumi Sharmin, Shameem Ahmed, Michael J Havice, Suresh Anamanamuri", "pub_type": "journal", "description": "Pervasive computing has evolved due to portable devices and wireless networks, providing support in various environments like hospitals, smart classrooms, and construction sites. This paper presents an assessment tool using pervasive computing technologies, aiming to add a new dimension to out-of-classroom learning.", "link": "https://www.researchgate.net/profile/Michael-Havice/publication/228717774_An_Assessment_Tool_for_Out_of_Classroom_Learning_using_Pervasive_Computing_Technologies/links/0fcfd5089d3792c45a000000/An-Assessment-Tool-for-Out-of-Classroom-Learning-using-Pervasive-Computing-Technologies.pdf", "order": "96" }, { "published": "on", "year": "2004", "title": "Towards developing sensor networks monitoring as a middleware service", "authors": "Sheikh Iqbal Ahamed, Avinash Vyas, Mohammad Zulkernine", "pub_type": "journal", "description": "Middleware plays a crucial role in embedded devices and applications, enabling the construction of sensor networks for environmental parameters, processors, and autonomous power supplies. Monitoring is essential for these networks' growth, and this paper presents a middleware service for monitoring sensor networks and applications.", "link": "https://ieeexplore.ieee.org/document/1328056", "order": "97" }, { "published": "on", "year": "2004", "title": "Towards framework selection criteria and suitability for an application framework", "authors": "Sheikh Iqbal Ahamed, Ale Pezewski, Al Pezewski", "pub_type": "journal", "description": "Frameworks are popular for providing reusable solutions to complex problems, but selecting the right one can be challenging due to the lack of formal criteria and metrics. This paper defines criteria for assessing a framework's usefulness and suitability to a specific domain, using an example framework as an example.", "link": "https://www.researchgate.net/publication/4068034_Towards_framework_selection_criteria_and_suitability_for_an_application_framework", "order": "98" }, { "published": "on", "year": "2004", "title": "Component-based embedded database for mobile embedded systems", "authors": "Sheikh Iqbal Ahamed, Sanjay Vallecha", "pub_type": "journal", "description": "Mobile computing has expanded computer usability by enabling low-powered devices to query databases over wireless networks. However, it presents challenges like slow connections, line disconnections, and limited bandwidth. A mobile embedded database should handle temporal constraints, maintain consistency, and use small memory footprints. It should be generic, flexible, and compatible with various applications. This paper proposes a component-based approach for mobile embedded systems.", "link": "https://ieeexplore.ieee.org/document/1286512", "order": "99" }, { "published": "on", "year": "2004", "title": "An Integrated Approach to Customize Binary Components", "authors": "Sheikh Iqbal Ahamed, Sang Kim, Carl Twining, Michael Crichton", "pub_type": "journal", "description": "This paper proposes an integrated approach to customize binary components using state-of-the-art technology and tools. It decompiles the class file into equivalent source code and reverse engineering it into UML diagrams. This method helps design necessary changes without re-compilation, accelerates development, and improves product reliability. An illustrative example is presented for the tool's use.", "link": "http://www.mscs.mu.edu/~iq/papers/long/2004/PDCS04.pdf", "order": "100" }, { "published": "on", "year": "2004", "title": "Towards the Design and Implementation of Embedded Database for Pervasive Computing Applications.", "authors": "Sheikh Iqbal Ahamed, Sanjay Vallecha", "pub_type": "journal", "description": "Pervasive computing, facilitated by portable devices and wireless networks, enhances computer usability by enabling low-powered mobile devices to query databases over wireless networks. However, it also presents challenges like slow connections, frequent line disconnections, and location-dependent data. This paper addresses the issues of the embedded databases of pervasive computing systems. Solutions for each of the issues have been described in this paper.", "link": "http://www.mscs.mu.edu/~iq/papers/long/2004/PCC04_database.pdf", "order": "101" }, { "published": "on", "year": "2003", "title": "Evaluation of hospitalized infants and young children with bronchiolitis-a multi centre study.", "authors": "ML Kabir, N Haq, M Hoque, F Ahmed, R Amin, A Hossain, S Khatoon, S Akhter, T Shilpi, R Haq, S Anisuzzaman, MH Khan, S Ahamed, A Khashru", "pub_type": "journal", "description": "A study of 429 young children with bronchiolitis in Bangladesh evaluated their risk factors, clinical profile, management, and outcome. The diagnosis was made based on the first wheeze attack in healthy children below two years of age. The study found that most children were born term, with ABW, and by normal vaginal delivery. Most were rural, with illiterate or slightly educated parents and poor parents. Clinical features included cough, respiratory distress, feeding difficulty, and fast breathing. Radiological features included increased translucency, interstitial markings, hyperinflation, and streaky densities. The main treatment modalities included antibiotics, oxygen therapy, nebulised salbutamol, and intravenous fluid. Most children were discharged with improvement, with 2% mortality. Not a single case was diagnosed outside Dhaka, with cefrtiaxone and parenteral steroids being the mainstay of therapy.", "link": "https://europepmc.org/article/med/12894048", "order": "102" }, { "published": "on", "year": "2003", "title": "Smart classroom: Enhancing collaborative learning using pervasive computing technology", "authors": "Stephen S Yau, Sandeep KS Gupta, Fariaz Karim, Sheikh I Ahamed, Yu Wang, Bin Wang", "pub_type": "journal", "description": "Smart Classrooms enable collaborative learning among college students by forming small groups using situation-aware PDAs. These PDAs dynamically form mobile networks for group meetings, monitoring their location, noise, light, and mobility. Middleware, such as Reconfigurable Context-Sensitive Middleware (RCSM), addresses situation-awareness and ad hoc group communication. This paper presents the characteristics of Smart Classrooms and how RCSM can enhance collaborative learning.", "link": "https://dpse.asu.edu/wp-content/uploads/sites/39/2019/06/SmartClassroom.pdf", "order": "103" }, { "published": "on", "year": "2003", "title": "An approach to developing information dissemination service for ubiquitous computing applications", "authors": "Stephen S Yau, Sheikh Iqbal Ahamed", "pub_type": "journal", "description": "This paper presents an approach to developing an information dissemination service for ubicomp applications, which can be incorporated into reconfigurable context sensitive middleware (RCSM). This service can distribute information from one or more devices to a large number of devices, providing context-sensitivity, situation-awareness, ad hoc communication, and ADS properties. This is particularly useful in ubicomp environments with mobility, unknown destinations, and low computational power.", "link": "https://ieeexplore.ieee.org/document/1193954", "order": "104" } ], "news": [ { "published": "on", "featured": "on", "date": "2026-05-17T03:46:29+00:00", "title": "Three papers accepted in IEEE/ACM CHASE 2026", "slug": "three-papers-accepted-in-ieeeacm-chase-2026", "description": "Ubicomp lab members are going to publish three scientific papers in the prestigious conference IEEE/ACM CHASE 2O26 (https://conferences.computer.org/chase2026/). The accepted papers are as follows:\n\na) NIRNet: A Conditional GAN Framework for Transforming Non-NIR PPG Signals into NIR-Equivalent Waveforms for Contactless Physiological Monitoring; authored by Kazi Zawad Arefin, Nafi Us Sabbir Sabith, Sayed Mashroor Mamun, Kazi Shafiul Alam, Sheikh Iqbal Ahamed\n\nb) Equitable rPPG: Heart Rate Estimation for High-Melanin Skin using Triple-Stream 3D-CNNs; authored by Md Martuza Ahamad, Kazi Shafiul Alam, Sakifa Aktar, Jonathan Hubbard, Sheikh Iqbal Ahamed\n\nc) Healthcare-targeted Malicious URL Detection using LLM Integrated Dynamic Sandbox Environment; authored by M. Raihan Mia, M. Zarif, M. Barek, M. Rashid, K. Yu, Sheikh Iqbal Ahamed\n\n\nThe conference will be held in Pittsburgh, PA, USA, during the first week of August. After the conference, the accepted papers will be published in either the conference proceedings or the Elsevier Smart Health Journal.", "link": "", "image": "" }, { "published": "on", "featured": "on", "date": "2026-05-17T03:45:29+00:00", "title": "Dr. Sheikh Iqbal Ahamed Appointed as Standing Committee Chair for COMPSAC 2026", "slug": "dr-sheikh-iqbal-ahamed-appointed-as-standing-committee-chair-for-compsac-2026", "description": "We are thrilled to announce that Dr. Sheikh Iqbal Ahamed, the esteemed director of the Ubicomp Lab at Marquette University, will serve as the Standing Committee Chair for the upcoming IEEE International Computers, Software & Applications Conference (COMPSAC) 2026. This prestigious conference, titled \"Harnessing the Power of Intelligent Systems: Shaping the Future,\" will be held in Toronto, Canada, from July 8-11, 2026. Dr. Ahamed's leadership and expertise in intelligent systems and mHealth technology will undoubtedly contribute significantly to the success of this conference.", "link": "https://ieeecompsac.computer.org/2026/", "image": "" }, { "published": "on", "featured": "on", "date": "2026-05-17T03:44:29+00:00", "title": "Ubicomp lab congratulates its new Ph.D. graduates", "slug": "ubicomp-lab-congratulates-its-new-phd-graduates", "description": "We are thrilled to announce the news of our esteemed lab mates, Md Ishrak Islam Zarif, Nafi Us Sabbir Sabith, Shiyu Tian and Parama Sridevi, who recived their Ph.D. degree on October and November, 2025. They have successfully presented their diverse research works in the field of mHealth before the board members, as well as published in several impactful journals and conferences. Their advancement in new knowledge generation in their field will always be an inspiration.", "link": "", "image": "" }, { "published": "on", "featured": "off", "date": "2026-05-17T03:43:29+00:00", "title": "Dr. Sheikh Iqbal Ahamed Ranked Among Top 2% of Scientists Worldwide by Stanford University", "slug": "dr-sheikh-iqbal-ahamed-ranked-among-top-2-of-scientists-worldwide-by-stanford-university", "description": "Dr. Sheikh Iqbal Ahamed achieved a percentile rank of 2% or higher among the world's scientists (career-long data) in his subfields according to the 2025 survey conducted by Stanford University, USA. His main field is \"Information & Communication Technologies,\" and subfields are \"Artificial Intelligence & Image Processing\" and \"Software Engineering.\" They considered Scopus profile data until August 1, 2025, and published the list on September 19, 2025 in Elsevier. The ranking is calculated based on citations, h-indexes, co-authorship-adjusted hm-indexes, citations to papers in different authorship positions, and a composite indicator (c-score).", "link": "https://topscinet.com/scientist_profile/Ahamed,%20Sheikh%20Iqbal/2003/?stype=career_data", "image": "" }, { "published": "on", "featured": "off", "date": "2026-05-17T03:42:29+00:00", "title": "Ubicomp Lab Publishes in Healthcare Analytics", "slug": "ubicomp-lab-publishes-in-healthcare-analytics", "description": "Ubicomp lab members published a paper in the prestigious journal \"Healthcare Analytics\" by Elsevier, titled \"An integrated machine learning and hyperparameter optimization framework for noninvasive creatinine estimation using photoplethysmography signals,\" authored by Parama Sridevi, Zawad Arefin, Sheikh Iqbal Ahmed (paper url: https://www.sciencedirect.com/science/article/pii/S2772442525000140). Healthcare Analytics is an interdisciplinary journal promoting the application of data science, business analytics, information technology, operations research, statistics, simulation, optimization, and mathematical modeling to decision-making and problem-solving in healthcare organizations within the private and public sectors. This journal is a source of information for theoretical, empirical, and analytical research and real-world applications and case studies in healthcare analytics and informatics.", "link": "https://www.sciencedirect.com/science/article/pii/S2772442525000140", "image": "" }, { "published": "on", "featured": "off", "date": "2026-05-17T03:41:29+00:00", "title": "Publication in Nature Scientific Reports", "slug": "publication-in-nature-scientific-reports", "description": "Ubicomp Lab members have published a paper titled EEG-based Real-Time Classification of Consecutive Two Eye Blinks for Brain-Computer Interface Applications in Nature Scientific Reports. Authored by Masud Rabbani, Nafi Us Sabbir Sabith, Anubhav Parida, Iysa Iqbal, Sayed Mashroor Mamun, Rumi Ahmed Khan, Farhad Ahmed, and Sheikh Iqbal Ahamed, the work introduces a novel real-time EEG framework that accurately classifies no blink, single blink, and two consecutive blinks using machine-learning and YOLO deep-learning models, transforming eye-blink detectiontraditionally treated as EEG artifactsinto a functional component for brain-computer interface (BCI) systems. Scientific Reports, a leading open-access journal in the Nature Portfolio, is recognized for high-quality interdisciplinary research and ranks in the Q1 Scimago quartile. This publication was partially supported by grants from Ubicomp Lab.", "link": "https://www.nature.com/articles/s41598-025-07205-0", "image": "" }, { "published": "on", "featured": "off", "date": "2026-05-17T03:40:29+00:00", "title": "Ubicomp lab members published a paper in the prestigious journal Machine Learning with Applications (MLWA) by Elsevier", "slug": "ubicomp-lab-members-published-a-paper-in-the-prestigious-journal-machine-learning-with-applications-mlwa-by-elsevier", "description": "A paper titled Noninvasive Estimation of Blood Glucose and HbA1c using Quantum Machine Learning Technique,\"authored by Parama Sridevi, Masud Rabbani, Md Hasanul Aziz, Paramita Basak Upama, Sayed Mashroor Mamun, Rumi Ahmed Khan, and Sheikh Iqbal Ahamed has recently been published in the prestigious journal Machine Learning with Applications (MLWA) by Elsevier (paper url: https://www.sciencedirect.com/science/article/pii/S266682702500009X?via%3Dihub). Machine Learning with Applications is a peer reviewed, open access journal focused on research related to machine learning. The journal encompasses all aspects of research and development in ML, including but not limited to data mining, computer vision, natural language processing (NLP), intelligent systems, neural networks, AI-based software engineering, bioinformatics and their applications in the areas of engineering, medicine, biology, education, business and social sciences. It covers a broad spectrum of applications in the community, from industry, government, and academia.\"", "link": "", "image": "" }, { "published": "on", "featured": "off", "date": "2026-05-17T03:39:29+00:00", "title": "Ubicomp lab members published a book chapter with Elsevier", "slug": "ubicomp-lab-members-published-a-book-chapter-with-elsevier", "description": "The book Sensor Networks for Smart Hospitals,\"is edited by Tuan Anh Nguyen and, chapter 24 (Quantum computing for smart healthcare) is authored by Padmapriya Velupillai Meikandan, Paramita Basak Upama, Masud Rabbani, Md Martuza Ahamad, and Sheikh Iqbal Ahamed. Sensor Networks for Smart Hospitals shows how the use of sensors to gather data on a patient's condition and the environment in which their care takes place can allow healthcare professionals to monitor well-being and make informed decisions about treatment. Written by experts in the field, this book is an invaluable resource for researchers and healthcare practitioners in their drive to use technology to improve the lives of patients. Data from sensor networks via the smart hospital framework is comprised of three main layers: data, insights, and access. Medical data is collected in real-time from an array of intelligent devices/systems deployed within the hospital. This data offers insight from the analytics or machine learning software that is accessible to healthcare staff via a smartphone or mobile device to facilitate swifter decisions and greater efficiency. \"", "link": "https://doi.org/10.1038/s41598-024-81459-y", "image": "" }, { "published": "on", "featured": "off", "date": "2026-05-17T03:38:29+00:00", "title": "Ubicomp lab members published a paper in the prestigious journal Smart Health by Elsevier", "slug": "ubicomp-lab-members-published-a-paper-in-the-prestigious-journal-smart-health-by-elsevier", "description": "A paper titled PulseSight : A Novel Method for contactless Oxygen Saturation SpO2Monitoring Using Smartphone Cameras, Remote Photoplethysmography and Machine Learning,\"authored by Kazi Zawad Arefin, Kazi Shafiul Alam, Sayed Mashroor Mamun,Nafi Us Sabbir Sabith, Parama Sridevi, and Sheikh Iqbal Ahamed has recently been published in Smart Health by Elsevier (paper url: https://www.sciencedirect.com/science/article/pii/S2352648325000030?dgcid=coauthor). Machine Learning with Applications is a peer reviewed, open access journal focused on research related to machine learning. The journal focuses on research topics pertaining to devices, sensing, computing and communication technologies, software/hardware modeling and system architectures towards Personalized, Pervasive, Participatory, Predictive, Preventive, Programmable and Perpetual (P7) Healthcare. This is an interdisciplinary journal which works to publish high-quality papers from researchers of various disciplines including medicine, computer science and engineering and bio and electrical engineering. \"", "link": "https://ieeecompsac.computer.org/2026/", "image": "" }, { "published": "on", "featured": "off", "date": "2026-05-17T03:37:29+00:00", "title": "Ubicomp lab receives its 28th Ph.D. graduate, Dr. Zawad Arefin", "slug": "ubicomp-lab-receives-its-28th-phd-graduate-dr-zawad-arefin", "description": "We are thrilled ot announce the news of our esteemed labmate, Kazi Zawad Arefin, who recived his Ph.D. degree on 9th January, 2025. He has been working on non-invasive techniques of detecting oxygen saturation in human body for years and defended his work successfully befreo the board members. His advancement in new knowledge generation in this field as well as developing a system for the same has been appreciated by the audience.", "link": "", "image": "" }, { "published": "on", "featured": "off", "date": "2026-05-17T03:36:29+00:00", "title": "Ubicomp lab members to publish a paper in the prestigious journal Nature Scientific Reports", "slug": "ubicomp-lab-members-to-publish-a-paper-in-the-prestigious-journal-nature-scientific-reports", "description": "Our paper titled \"Smartphone-Based Non-Invasive Real-Time White Blood Cell Counter Leveraging Blue Light and Static Magnetic Field,\" authored by Nafi Us Sabbir Sabith, Masud Rabbani, Kazi Shafiul Alam, and Sheikh Iqbal Ahamed has recently been accepted for publication in the prestigious journal Nature Scientific Reports(https://www.nature.com/articles/s41598-024-81459-y).Nature Scientific Reports is a leading open-access journal renowned for publishing high-quality original research across diverse disciplines, including natural sciences, psychology, medicine, and engineering. As the fifth most-cited journal globally, it garnered over 734,000 citations in 2023* and is recognized for its influence in academic, policy, and media circles. Nature Scientific Reports is a Q1 ranking in the Scimago journal quartile.This work is partially supported by Northwestern Mutual Data Science Institute (NMDSI) and other grants of Ubicomp lab. There is a pending patent for this work.", "link": "https://doi.org/10.1038/s41598-024-81459-y", "image": "" }, { "published": "on", "featured": "off", "date": "2026-05-17T03:34:29+00:00", "title": "Ubicomp Lab Launches dDream Application for Non-Invasive Vital Sign Monitoring", "slug": "ubicomp-lab-launches-ddream-application-for-non-invasive-vital-sign-monitoring", "description": "We are excited to introduce the latest innovation from the Ubicomp Lab - the dDream application. This groundbreaking app leverages smartphone camera technology to non-invasively determine vital signs through facial and fingertip video analysis. With dDream, users can effortlessly monitor their heart rate (HR), heart rate variability (HRV), blood pressure (BP), blood oxygen saturation (SPO2), hemoglobin (HgB), and glucose levels. The dDream app represents a significant advancement in mobile health technology, providing a convenient and accessible tool for individuals to track their health metrics in real-time. This innovative solution promises to enhance personal health monitoring and offer valuable insights for managing overall well-being.", "link": "", "image": "" }, { "published": "on", "featured": "off", "date": "2026-05-17T03:33:29+00:00", "title": "Ubicomp Lab NIH Grant to Prevent Adolescent Suicidal Behavior", "slug": "ubicomp-lab-nih-grant-to-prevent-adolescent-suicidal-behavior", "description": "We are pleased to announce that the Ubicomp Lab is playing a critical role as a Co-Investigator in a significant NIH-funded research project. The project is titled \"Adaptive Intervention to Prevent Adolescent Suicidal Behavior Following Psychiatric Hospitalization: A Sequential Multiple Assignment Randomized Trial\" (Grant Number: 1R01MH126871). This study is funded by the National Institutes of Health (NIH) and spans from September 17, 2021, to August 31, 2026.", "link": "", "image": "" }, { "published": "on", "featured": "", "date": "2026-06-18", "title": "Taking blood tests with your phone? Marquette researchers say that future is nearer than you think", "slug": "blood-tests-with-your-phone-ubiwhite", "description": "Dr. Sheikh Iqbal Ahamed's Ubicomp Lab has developed UbiWhite, a patented system that uses a smartphone camera with a blue-light filter to perform needle-free blood tests — reading white blood cell levels from a fingertip, with the potential to expand to glucose, hemoglobin, and vital signs and to lower the cost of care.", "link": "https://today.marquette.edu/2026/06/taking-blood-tests-with-your-cell-phone-thanks-to-marquette-researchers-that-future-is-nearer-than-you-think/", "image": "news-ubiwhite-blood-test.jpg" }, { "published": "on", "featured": "", "date": "2026-04-28", "title": "This professor's research may save your life through a 10-second video", "slug": "save-your-life-10-second-video", "description": "Researchers at Marquette's Ubicomp Lab, led by Dr. Sheikh Iqbal Ahamed, have developed technology that reads vital signs and biochemical markers from a short smartphone video — no blood draw required — work that could transform healthcare access for people with chronic conditions or limited medical resources.", "link": "https://today.marquette.edu/2026/04/this-professors-research-may-save-your-life-through-a-10-second-video/", "image": "news-10-second-video.jpg" }, { "published": "on", "featured": "", "date": "2024-11-18", "title": "Dr. Sheikh Iqbal Ahamed joins IEEE panel on advancing public health and safety through AI", "slug": "iqbal-ahamed-ieee-panel-ai-public-health", "description": "Dr. Sheikh Iqbal Ahamed took part in an IEEE panel at an international biomedical informatics conference, examining how emerging AI technologies are advancing medical informatics and supporting the wellness of public-safety personnel during emergencies.", "link": "https://today.marquette.edu/2024/11/dr-sheikh-iqbal-ahamed-joins-ieee-panel-on-advancing-public-health-and-safety-through-ai-at-international-biomedical-informatics-conference/", "image": "news-iqbal-ahamed.png" }, { "published": "on", "featured": "", "date": "2024-05-10", "title": "NMDSI's second annual AI Symposium brings the data science community together", "slug": "nmdsi-second-annual-ai-symposium", "description": "The Northwestern Mutual Data Science Institute's second annual AI symposium welcomed more than 700 attendees for keynotes on AI ethics and the history of data science, panels on education, social impact and responsible AI governance, and 31 research poster presentations.", "link": "https://today.marquette.edu/2024/05/nmdsis-second-annual-ai-symposium-brings-data-science-community-together-to-explore-the-ever-evolving-landscape-of-ai/", "image": "news-ai-symposium.jpg" }, { "published": "on", "featured": "", "date": "2023-05-30", "title": "Dr. Iqbal Ahamed and Md. Raihan Mia honored with Best Paper Award from Elsevier's Smart Health Journal", "slug": "best-paper-award-smart-health-journal", "description": "Dr. Iqbal Ahamed and Ph.D. student Md. Raihan Mia received a 2022 Best Paper Award from Elsevier's Smart Health journal for their work on a privacy-preserving national clinical data warehouse framework, recognized for its citation impact and its relevance to preventive healthcare technologies.", "link": "https://today.marquette.edu/2023/05/dr-iqbal-ahamed-md-raihan-mia-honored-with-best-paper-award-from-elseviers-smart-health-journal-2/", "image": "news-iqbal-ahamed.png" } ], "carousel": [ { "published": "off", "order": "1", "heading": "Marquette University, Milwaukee, WI, USA", "subheading": "Our Home", "description": "", "image": "campus1.jpg", "focal_x": "50", "focal_y": "50" }, { "published": "off", "order": "2", "heading": "Katharine R. Cudahy Hall, 1313 W Wisconsin Ave., Miwaukee, WI 53233", "subheading": "Ubicomp Lab", "description": "We are Marquette's Ubicomp Research Lab, led by Wehr Professor and Founding Chair of the deartment of Computer Science Dr. Sheikh Iqbal Ahamed. We are focused on mHealth applications - smartphone based healthcare, mobile and pervasive computing, emotion-based/affective computing, and security and privacy in computing to create a better life for the people aorund the world.", "image": "carousel1.jpg", "focal_x": "50", "focal_y": "50" }, { "published": "off", "order": "4", "heading": "Katharine R. Cudahy Hall, 1313 W Wisconsin Ave., Miwaukee, WI 53234", "subheading": "Ubicomp Lab", "description": "We encourage hands-on learning on Computer Science for students of any age. Reach out to us for a better learning and research experience.", "image": "carousel3.jpg", "focal_x": "50", "focal_y": "50" }, { "published": "on", "order": "10", "heading": "Marquette University in Milwaukee, Wisconsin", "subheading": "Campus", "description": "", "image": "sample-20260117_131011.jpg", "focal_x": "45", "focal_y": "78" }, { "published": "on", "order": "11", "heading": "Katharine Reed Cudahy Hall, Department of Computer Science", "subheading": "Where we work", "description": "", "image": "sample-20260107_112942.jpg", "focal_x": "25", "focal_y": "80" }, { "published": "on", "order": "12", "heading": "Home to computer science at Marquette University", "subheading": "Inside Cudahy Hall", "description": "", "image": "sample-20260112_093318.jpg", "focal_x": "52", "focal_y": "51" }, { "published": "on", "order": "13", "heading": "Where ideas become working systems", "subheading": "The lab", "description": "", "image": "sample-20260504_161656.jpg", "focal_x": "50", "focal_y": "48" }, { "published": "on", "order": "14", "heading": "Prototyping contactless vital-sign monitoring", "subheading": "Non-invasive sensing", "description": "", "image": "sample-20260504_165821.jpg", "focal_x": "50", "focal_y": "28" }, { "published": "on", "order": "15", "heading": "3D-printing custom hardware in the lab", "subheading": "Rapid prototyping", "description": "", "image": "sample-20260504_161115.jpg", "focal_x": "46", "focal_y": "55" }, { "published": "on", "order": "16", "heading": "Working through the ideas together at the whiteboard", "subheading": "Collaboration", "description": "", "image": "sample-20260504_163416.jpg", "focal_x": "49", "focal_y": "49" }, { "published": "on", "order": "17", "heading": "Real-time EEG for assistive technology", "subheading": "Brain-computer interfaces", "description": "", "image": "sample-20260504_162648.jpg", "focal_x": "49", "focal_y": "82" }, { "published": "on", "order": "18", "heading": "Turning camera signals into health metrics", "subheading": "From signal to insight", "description": "", "image": "sample-20260504_170049.jpg", "focal_x": "48", "focal_y": "60" }, { "published": "on", "order": "19", "heading": "From problem to prototype, side by side", "subheading": "Mentorship", "description": "", "image": "sample-20260504_171933.jpg", "focal_x": "49", "focal_y": "24" }, { "published": "off", "order": "20", "heading": "A Bambu Lab printer building a sensor housing", "subheading": "Rapid prototyping", "description": "", "image": "sample-20260504_161441.jpg", "focal_x": "50", "focal_y": "50" }, { "published": "off", "order": "21", "heading": "Building mobile-health systems day to day", "subheading": "Deep work", "description": "", "image": "sample-20260504_162008.jpg", "focal_x": "50", "focal_y": "50" }, { "published": "off", "order": "22", "heading": "From rugged field tablets to the workbench", "subheading": "Our tools", "description": "", "image": "sample-20260504_160943_Pd0kuef.jpg", "focal_x": "50", "focal_y": "50" }, { "published": "on", "order": "23", "heading": "Heads-down at the workstation", "subheading": "Deep work", "description": "", "image": "sample-20260504_162052_bnN2F2Z.jpg", "focal_x": "51", "focal_y": "51" } ] }