we design, build and analyze end-to-end mhealth
systems, while focusing on processing its data to help
answer health-related questions.
Ph.D., Director of HABits Lab
Northwestern University
Our lab is at the intersection of computer science and preventive medicine. Through analysis of continuous streams of data provided by smartphones and wearable sensors, we use signal processing intelligence and machine learning to understand a person’s moment-to-moment behavior, psychological states, and environmental context in which the behavior occurs. We design, build, and analyze end-to-end mobile health (mHealth) systems, while focusing on processing its data to help answer health-related questions.
It is the humanity within us and the desire to improve quality of life and healthcare costs that guide our solutions to the persisting health problems of our time through computer science and behavior science based research in passive sensing data analytics. Our goal is to advance our ability to understand, detect, predict, and ultimately prevent problematic health habits. We are the Health Aware Bits (HABits) Lab!
• Human Computer Interaction
• Focus Groups/Interviews and Surveys
• mHealth Sensor Systems
• Passive Sensing
• Segmentation
• Feature Extraction
• Low Level Machine Learning
• High Level Machine Learning
• Statistical Analysis
• Behavior Models
• Behaviorist
• Interventionist
• Medical Expert
Experience: Barriers and Opportunities of Wearables for Eating Research
SmokeMon: Unobtrusive Extraction of Smoking Topography Using Wearable Energy-Efficient Thermal
SmartAct: Energy Efficient and Real-Time Hand-to-Mouth Gesture Detection Using Wearable RGB-T
Predicting the Next-Day Perceived and Physiological Stress of Pregnant Women by Using Machine Learning and Explainability: Algorithm Development and Validation
EAT: A Reliable Eating Assessment Technology for Free-living Individuals.
WildCam: A Privacy Conscious Wearable Eating Detection Camera People will Actually Wear in the Wil
VibroScale: Turning your smartphone into a weighing scale
BehaviorSight: Privacy enhancing wearable system to detect health risk behaviors in real-time
Undergraduates, graduates, and Postdocs trained in mHealth.
In NIH, NSF, and Foundation funding.
People enrolled and participated in our studies to advance wearable technology and understand human behavior.
$3,868,150 / PI: Nabil Alshurafa / 2021 - 2026
$233,587 / PI: Nabil Alshurafa / 2020 - 2022
$606,713 / PI: Nabil Alshurafa / 2020 - 2023
$850,000 / PI: Nabil Alshurafa / 2018 - 2023
$299,471 / PI: Nabil Alshurafa / 2019 - 2022
SmokeMon: Unobtrusive Extraction of Smoking Topography Using Wearable Energy-Efficient Thermal
SmartAct: Energy Efficient and Real-Time Hand-to-Mouth Gesture Detection Using Wearable RGB-T
Lability of prenatal stress during the COVID19 pandemic links to negative affect in infancy
Predicting the Next-Day Perceived and Physiological Stress of Pregnant Women by Using Machine Learning and Explainability: Algorithm Development and Validation
We’re are a friendly , forward thinking collective, an approachable team with a can-do attitude. Our curiosity and breadth of experience means we can turn our minds to new challenges, combining the need for functionality with a desire for aesthetic value.
Ph.D., Lab Manager
Medicine Physician
Ph.D., Director of HABits Lab
Ph.D Student
Ph.D Student
Ph.D Student
Ph.D Student
Ph.D Student
Research Study Coordinator
Software Engineer
Research Study Assistant
Director, Institute for Public Health and Medicine (IPHAM) - Center for Behavior and Health. Professor in Preventive Medicine-Behavioral Medicine, Psychiatry and Behavioral Sciences and Weinberg College of Art
Professor of Electrical and Computer Engineering, Northwestern University, Joseph Cummings Professor, McCormick School of Engineering
Senior Methodologist and Associate Professor of Public Health, University of Tennessee
Research Professor of Dermatology
Associate Professor of Interactive Computing and Computer Science, College of Computing, Georgia Institute of Technology, Director of Ka MoaMoa Lab
Professor of Medical Social Sciences, Northwestern University, Social Psychologist
Vice Chair for Scientific & Faculty Development, Department of Medical Social Sciences Director, Institute for Innovations in Developmental Sciences Professor of Medical Social Sciences,
It is the humanity within us and the desire to improve quality of life and healthcare costs that guide our solutions to the persisting health problems of our time through computer science and behavior science based research in passive sensing data analytics; helping us advance our ability to understand, detect, predict, and ultimately prevent problematic health habits. We are the Health Aware Bits (HABits) Lab.
Have a question? let us now and we’ll get back to you ASAP!