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 Duke Appointments & Affiliations
Professor in the Department of Electrical and Computer Engineering
·
2024 - Present
Pierre R. Lamond Department of Electrical and Computer Engineering,
Pratt School of Engineering
Associate Professor of Computer Science
·
2020 - Present
Computer Science,
Trinity College of Arts & Sciences
Professor in the Thomas Lord Department of Mechanical Engineering & Materials Science
·
2025 - Present
Thomas Lord Department of Mechanical Engineering and Materials Science,
Pratt School of Engineering
Recent Scholarly Works
SYNAPSE: SImulation Benchmark of Neuro-Adaptive Patient-Specific Evaluation for Episodic Decision-Making
Conference Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining · August 8, 2026 Recent advances in time-series analysis, treatment outcome prediction, and reinforcement learning (RL) have demonstrated great potential to automate decision-making in healthcare. However, the high stakes nature complicates the deployment of such framework ... Full text CiteVery Preterm Infant Retinal Microanatomy at 36 Weeks' Postmenstrual Age and 2-Year Neurodevelopment.
Journal article JAMA Ophthalmol · July 1, 2026 IMPORTANCE: If noninvasive optical coherence tomography (OCT) retinal imaging could predict 2-year neurodevelopment of very preterm (VPT; <32 weeks' gestational age) infants in neonatal intensive care, it might help to guide management. OBJECTIVE: To evalu ... Full text Link to item CiteDemo: Control the ARmada: LMM Coordination for Multi-Robot AR-HRC
Conference Hotmobile 2026 Proceedings of the 2026 ACM 27th International Workshop on Mobile Computing Systems and Applications · March 2, 2026 Augmented reality (AR) has shown strong potential to enable more flexible interaction in human-robot collaboration (HRC) by conveying a robot’s state and intent [1, 3] and enabling intuitive control [1]. However, while many systems exist that demonstrate A ... Full text CiteRecent Grants
ICE-CEM: Inducing Cyber and Physical Effects in Unmanned Aerial Systems via Cyber-Electromagnetic Convergence
ResearchPrincipal Investigator · Awarded by Army Research Office · 2026 - 2032Rapid Analog Processing for Tactical Observation and Opportunistic Radio Spectrum Access (RAPTORS)
ResearchCo-Principal Investigator · Awarded by Army Research Office · 2026 - 2032NSF AI Institute for Edge Computing and Systems (Athena)
ResearchCo-Principal Investigator · Awarded by National Science Foundation · 2021 - 2031View All Grants
Education
University of Pennsylvania ·
2012
Ph.D.