By understanding a human’s behavior and finding a way to increase their physical and mental activity, researchers can improve outcomes for those who may be at risk of dementia, Alzheimer’s, or other diseases. In this video, Professor of Practice, Misha Pavel, discusses his research using artificial intelligence and machine learning to better understand how humans behave in their middle ages and how it influences the aging process. Pavel performs his research as a jointly appointed Professor of the Practice between Khoury College of Computer Science and Bouvé College of Health Sciences at Northeastern University, and works with clinicians and medical doctors to help people live better and age better.
Misha Pavel holds a joint faculty appointment in Northeastern University’s Khoury College of Computer Sciences and Bouvé College of Health Sciences. His background comprises electrical engineering, computer science, and experimental psychology, and his research is focused on multi-scale computational modeling of behaviors and their control, with applications ranging from elder care to augmentation of human performance. Pavel uses these model-based approaches to develop algorithms transforming unobtrusive monitoring from smart homes and mobile devices to useful and actionable knowledge for diagnosis and intervention. Under the auspices of the Northeastern-based Consortium on Technology for Proactive Care, Pavel and his colleagues target technological innovations to support the development of economically feasible, proactive, distributed, and individual-centered healthcare. In addition, Pavel is investigating approaches to inferring and augmenting human intelligence using computer games, EEG, and transcranial electrical stimulation.
Previously, Pavel was the director of the Smart and Connected Health Program at the National Science Foundation, a program co-sponsored by the National Institutes of Health. Earlier, he served as the chair of the Department of Biomedical Engineering at Oregon Health & Science University, a Technology Leader at AT&T Laboratories, a member of the technical staff at Bell Laboratories, and faculty member at Stanford University and New York University. He is a senior life member of IEEE.