Prof. Stephen Intille– Research Group Director
Dr. Intille is an Associate Professor in the Khoury College of Computer Sciences and the Bouvé College of Health Sciences. His research focuses on the development of novel healthcare technologies that incorporate ideas from ubiquitous computing, user-interface design, pattern recognition, behavioral science, and preventive medicine. After ten years as Technology Director of the House_n Research Consortium at MIT, in 2010 he joined Northeastern University to help establish a new transdiciplinary Ph.D. program in Personal Health Informatics and the mHealth research group. Read more…
Qu Tang – Electrical And Computer Engineering doctoral student
Qu is a Ph.D. student in Computer Engineering at Northeastern University (Boston, MA, USA). His primary research interest is in mobile/pervasive computing, physical activity recognition and mobile sensing system design, especially in real-time sensor monitoring and activity recognition, human-in-loop/active learning and health data mining. He is applying engineering and computer science technologies to personal health monitoring, measurement and behavior intervention. Currently, he is working on a real-time physical activity measurement system. Previously, he worked on developing activity recognition algorithms using machine learning to detect smoking behavior and to detect motion patterns of children with autism. Qu Tang received his M.S. degree in Electrical Engineering at Northeastern and his B.E. degree in Opto-Electronics at the University of Electronic Science and Technology of China (UESTC) in 2010.
Binod Thapa Chhetry – Personal Health Informatics doctoral student
Binod earned his M.S in Biomedical Engineering from the University of Texas at Arlington. After that he worked as a programmer analyst at Columbia University Medical Center before joining Northeastern. Binod is equally excited about recent advances in computing and mobile technology and behavioral and social psychology. By consolidating them, he aims to build interactive mobile health systems capable of just-in-time, tailored interventions to promote healthy behavior. He is currently focused on machine learning algorithms that learn behavior patterns and routines from a user’s sensor data.
Aditya Ponnada – Personal Health Informatics doctoral student
Aditya earned is Bachelors in Design (B.Des) from Indian Institute of Technology, Guwahati, India and worked for two years as a UX Researcher at Samsung Electronics, India. He is broadly interested in human-computer interaction, mobile/ubiquitous computing, and behavioral assessments. He aims to use mobile and wearable devices to measure behaviors that sensors cannot directly measure, using techniques such as ecological momentary assessment. He believes that, in a few years, individuals will be able to take better control of their health with the power of mobile technologies.
Rithika Lakshminarayanan – Personal Health Informatics doctoral student
Rithika earned her B.Tech in computer science from Shiv Nadar University, India in 2019. She wants to combine her experience in computer engineering with behavioral economics to help people make healthier lifestyle choices. She is currently working on a new way of texting that allows the delivery of messages at the ‘right moment’ to provide support even when one is busy. She is broadly interested in developing computer-mediated applications to facilitate better communication in underrepresented populations.
Jixin Li – Personal Health Informatics doctoral student
Jixin received his M.A. in Statistics from Columbia University, and B.A. in Psychology from University of Michigan, Ann Arbor. Prior to joining mHealth research group at the Northeastern University, he worked one year as a data analyst for an educational technology startup in Boston. His research interests are in the use of mobile and sensor technology to delineate human behavior and mental states. He is currently working on data analysis of uEMA and building on statistical software to analyze experience sampling data. He aims to integrate EMA in developing just-in-time, tailored mobile interventions to promote human health.
Krit Goyal – M.S in Computer Science student
Krit earned his B.E(Hons.) in Electrical and Electronics Engineering from BITS Pilani, India in 2017. He then worked for an year at Samsung Research Institute, Noida as a software developer on the Codec team. He is currently working as an Android smartphone and wearables programmer at mHealth Research Group. He is developing the microT app which forms the basis of the Micro Ecological Momentary Assessments(μEMA) study, to collect round the clock data using built-in sensors and micro surveys from study participants. Krit is particularly interested in using data mining and machine learning techniques to draw inferences from this real world data.
An undergraduate? Interested in research? At this time it is more difficult than usual to get undergraduate students involved working on projects due to the challenges of SARS-CoV-2, but we are looking for highly-motivated students who want to get research experience! If this is you, see the Get Involved page.
Aryton Hoi – BS in Computer Science student
Aryton is interested in the application of computer science within the field of human health. He has previously completed a co-op at MIT Lincoln Labs with Group 48 working on an automated 3D axon tracing UNet neural network, and has also won an award at HackMIT2019 with a submission aimed at combatting media echo chambers.
Prof. Dinesh John
Professor Dinesh John is a faculty member at Northeastern in the Department of Health Sciences and a close collaborator with the mHealth Group. He is a trained exercise physiologist and an expert on the application of wearable sensors to measure and modify physical behavior. A degree in exercise physiology combined with an in-depth understanding of sensor function, sensor signal response to human movement and physiology, and signal processing, places him uniquely at the intersection of technology and lifestyle disease prevention. This has enabled him to pursue novel applications of technology in health through collaborative work with scientists from diverse fields such as engineering computer science, behavior change psychology, and public health. He is actively interested in recruiting PhD students who want to work in this space.
Dr. Andrea Mannini
Andrea is a former visiting doctoral student who continues to publish with the group. When he visited, Andrea was at the BioRobotics Institute, Pisa, Italy, where he completed his PhD and now works as a postdoc. Previously he earned a M.Sc. in Biomedical Engineering at University of Pisa, Italy. Andrea is collaborating with the mHealth group on human activity classification from wrist accelerometer data and is interested in machine learning methods for biomedical signal processing.
Dr. Fahd Albinali
Fahd is the Founder and CTO of QMedic (previously EveryFit), an early stage mobile health start-up that is collaborating with the mHealth Research Group. He was previously a Research Scientist with Dr. Intille at MIT. His research has focused on building and studying interactive, context-aware solutions for at-risk populations. His work has been published in academic venues including UbiComp, AAAI, CHI and PerCom and has received one best paper award. Dr. Albinali received his Ph.D. from the University of Arizona in 2008 working on activity recognition in domestic environments, a M.Sc. from the University of Arizona in 2002, and a B.Sc. degree in Computer Science from the American University in Cairo in 1999.
Tony is an accomplished mobile application developer working in the Boston area, who previously earned his MS in Computer Science at Northeastern University after earning a BA in Computer Science from Yale. Tony continues to work with the group on analyzing data from the CITY weight loss intervention project. He currently works at a Boston-area mHealth startup.
Key Internal Collaborators
- Prof. Matthew Goodwin and the Computational Behavioral Science Lab
- Prof. Dinesh John and the Exercise Science Lab
- Prof. Seth Cooper and the Playable Innovative Technologies Lab
- Prof. Tim Bickmore and the the Relational Agents Group
- Prof. Holly Jimison and Prof. Misha Pavel and the Consortium on Technology for Proactive Care group
- Prof. Justin Manjourides in Health Sciences (biostatistician)
- Prof. Cody Dunne and NUViz (visualization)
- Other faculty involved with the Personal Health Informatics program
Key External Collaborators
- Dr. Genevieve Dunton, University of Southern California
- Dr. Eldin Dzubur, Industry
- Dr. Don Hedeker, University of Chicago
- Dr. Benjamin Henwood, University of Southern California
- Dr. Shivayogi Hiremath, Temple University
- Dr. William Haskell, Stanford University
- Dr. Laura Svetkey, Duke University
- Dr. Damon Vidrine, University of Texas MD Anderson Cancer Center
- Dr. Dan Ding, University of Pittsburgh
- Dr. James Spilsbury, Case Western Reserve University
- Dr. Donna Spruijt-Metz, University of Southern California
- Kent Larson, Massachusetts Institute of Technology