Ivan Lee

Ivan Lee is an Associate Professor and Informatics Program Director in the College of Information and Computer Sciences at the University of Massachusetts Amherst. His research focuses on mobile and personalized health, leveraging digital technologies to support individuals with motor and cognitive impairments such as stroke, Parkinson's disease, and traumatic brain injuries. He leads the Advanced Human & Health Analytics (AHHA) Laboratory and is actively engaged in interdisciplinary health technology research.

Education:

• B.A.Sc. in Computer Engineering, Simon Fraser University (2008)
• M.S. in Electrical Engineering, University of California, Los Angeles (2010)
• M.S. in Computer Science, University of California, Los Angeles (2013)
• Ph.D. in Computer Science, University of California, Los Angeles (2014)

His research interests lie at the intersection of mobile computing, sensor systems, and health informatics. He emphasizes human-centered design, developing novel sensors and remote monitoring tools grounded in clinical needs, conducting rigorous human studies, and evaluating solutions through both quantitative and qualitative methods. His work promotes health behavior change through personalized, technology-driven interventions.

Ivan Lee has received significant recognition for his research, including the NSF CRII Award (2018) and the NIH Trailblazer Award (2018). His publications have earned best paper, best demo, and featured article honors at premier venues such as IEEE TNSRE, IEEE JBHI, ACM SenSys, and ACM MobiSys.

He serves as an Academic Editor for PLOS ONE and an Associate Editor for the IEEE Open Journal of Engineering in Medicine and Biology (OJEMB). He is an elected Standing Member of the IEEE EMBS Technical Committee on Wearable Biomedical Sensors and Systems and has served on technical program committees and as workshop chair for major conferences. He regularly participates in scientific review panels for the NSF, NIH, and DARPA. He previously held a postdoctoral fellowship at Harvard Medical School in the Department of Physical Medicine & Rehabilitation (2014–2016).

Lee leads the Advanced Human & Health Analytics (AHHA) Laboratory, where his team develops and evaluates innovative health technologies through interdisciplinary collaboration with clinicians and engineers.