
Filip Stefanovic
Assistant Professor · Computational Neurorehabilitation
State University of New York at BuffaloAbout
Filip Stefanovic, PhD, is an Assistant Professor in the Department of Biomedical Engineering at the University at Buffalo, affiliated with the Jacobs School of Medicine & Biomedical Sciences and the School of Engineering and Applied Sciences. His academic journey includes roles as an Associate Professor of Teaching (2023), Research Assistant Professor (2018–2023), and Assistant Professor of Teaching (2015–2023). He holds a PhD from McGill University (2013), MS from the University of Belgrade (2007), and BS from the University of Toronto (2005).
- Education:
- PhD, Biomedical Engineering, McGill University (2013)
- MS, Biomedical Engineering, University of Belgrade (2007)
- BS, Mechanical Engineering (Mechatronics), University of Toronto (2005)
His research focuses on computational neurorehabilitation, AI-driven medical tools, and wearable devices for neuromuscular assessment. Key areas include developing assistive exoskeletons, modeling corticospinal systems, and applying neural networks to predict treatment outcomes. He leads the Computational Neurorehabilitation and Biomechatronics Lab, emphasizing telemedicine advancements and low-cost wearable systems for post-stroke care.
Notable grants include the NSF-funded SEPCORPS Model (2021–2024), where he served as Principal Investigator. His work spans over 20 peer-reviewed publications, with recent emphasis on spinal cord injury rehabilitation and immunotherapy-related cardiac toxicity modeling. Awards include the SUNY Chancellor’s Award for Excellence in Teaching (2025) and recognition for innovative teaching methods.
- Grants & Awards:
- NSF SEPCORPS Model Grant (2021–2024)
- SUNY Chancellor’s Award (2025)
- UB Teaching Innovation Award (2023)
His lab integrates computational models, wearable sensors, and machine learning to advance personalized neurorehabilitation strategies. Ongoing projects include optimizing neurostimulation protocols and developing IoT-based telemedicine platforms for outpatient care.
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