Overview
Miroslav Pajic's research focuses on design and analysis of cyber-physical systems with varying levels of autonomy and human interaction, at the intersection of (more traditional) areas of embedded systems, AI, learning and controls, formal methods and robotics.
Current Appointments & Affiliations
Professor in the Department of Electrical and Computer Engineering
·
2024 - Present
Electrical and Computer Engineering,
Pratt School of Engineering
Director of Master Studies in the Department of Electrical and Computer Engineering
·
2022 - Present
Electrical and Computer Engineering,
Pratt School of Engineering
Associate Professor of Computer Science
·
2020 - Present
Computer Science,
Trinity College of Arts & Sciences
Associate Professor in the Thomas Lord Department of Mechanical Engineering and Materials Science
·
2022 - Present
Thomas Lord Department of Mechanical Engineering and Materials Science,
Pratt School of Engineering
Recent Publications
Neuro-Symbolic Computing: Advancements and Challenges in Hardware-Software Co-Design
Journal Article IEEE Transactions on Circuits and Systems II: Express Briefs · March 1, 2024 The rapid progress of artificial intelligence (AI) has led to the emergence of a highly promising field known as neuro-symbolic (NeSy) computing. This approach combines the strengths of neural networks, which excel at data-driven learning, with the reasoni ... Full text CiteAt home adaptive dual target deep brain stimulation in Parkinson's disease with proportional control.
Journal Article Brain · March 1, 2024 Continuous deep brain stimulation (cDBS) of the subthalamic nucleus (STN) or globus pallidus is an effective treatment for the motor symptoms of Parkinson's disease. The relative benefit of one region over the other is of great interest but cannot usually ... Full text Link to item CiteAthena – The NSF AI Institute for Edge Computing
Journal Article AI Magazine · March 1, 2024 The National Science Foundation (NSF) Artificial Intelligence (AI) Institute for Edge Computing Leveraging Next Generation Networks (Athena) seeks to foment a transformation in modern edge computing by advancing AI foundations, computing paradigms, network ... Full text CiteRecent Grants
PARTNER: Neuro-Inspired AI for the Edge at UTSA (NAIAD)
ResearchCo-Principal Investigator · Awarded by The University of Texas at San Antonio · 2023 - 2027An Integrated Biomarker Approach to Personalized, Adaptive Deep Brain Stimulation in Parkinson Disease
ResearchCo Investigator · Awarded by National Institute of Neurological Disorders and Stroke · 2023 - 2027AI Institute: Athena: AI-Driven Next-generation Networks at the Edge
ResearchCo-Principal Investigator · Awarded by National Science Foundation · 2021 - 2026View All Grants
Education, Training & Certifications
University of Pennsylvania ·
2012
Ph.D.