Misha Pavel

Professor of Practice

Current Research Projects

  • Games for Health: Investigations of computational models for assessment and augmentation of cognitive functions from computer games and computerized versions of neuropsychological tests. Computer games are useful in motivating frequent interactions, but making inferences about cognitive functions require embedding models of cognitive processes in the inference algorithms
  • Technology for Future Care: In the framework Consortium on Technology for Proactive Care and NU-Care Technology Core Dr. Pavel is leading a group that provides advice and support of technology-based studies and development of self-care and elder care.
  • SHARP: Strengthening Human Adaptive Reasoning and Problem-solving. Enhancement of adaptive reasoning and problem-solving abilities among high-performing individuals combining game-based cognitive training with low-current transcranial electrical stimulation.
  • Behavior Change and Rehabilitation: Developing and investigating computational model-based approaches to assessment and inference of aspects of behavior. The goal of this research direction is applying system-theoretic approaches to characterize and optimize interventions.

Research Interests

Dr. Pavel’s research is in the area of behavioral informatics comprising intersection of unobtrusive monitoring and multiscale computational modeling of behaviors and behavioral change, including the underlying cognitive and related neuropsychological processes. In this line of research, he has developed a number of computational models of perceptual and cognitive processes including eye movement control and a theoretical framework for knowledge representation; the resulting models have been applied in a variety of areas, including computer-assisted instruction systems, enhanced vision systems for aviation, and augmented cognition systems.


  • BS in Electrical Engineering | Polytechnic Institute of Brooklyn
  • MS in Electrical Engineering | Stanford University
  • PhD in Experimental/Mathematical Psychology | New York University

Google Scholar Page


Professor Pavel holds a joint faculty appointment in the College of Computer & Information Science and Bouvé College of Health Sciences. His background comprises electrical engineering, computer science and experimental psychology, and his research is focused on multiscale computational modeling of behaviors and their control, with applications ranging from elder care to augmentation of human performance. Professor Pavel is using 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, Professor Pavel and his colleagues are targeting technological innovations to support the development of economically feasible, proactive, distributed, and individual-centered healthcare. In addition, Professor Pavel is investigating approaches to inferring and augmenting human intelligence using computer games, EEG and transcranial electrical stimulation. Previously, Professor 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.

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