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
Trust-Based Assured Sensor Fusion in Distributed Aerial Autonomy
Conference Proceedings of the ACM IEEE 16th International Conference on Cyber Physical Systems Iccps 2025 Held as Part of the Cps Iot Week 2025 · May 7, 2025 Multi-agent collaboration enhances situational awareness in intelligence, surveillance, and reconnaissance (ISR) missions. Ad hoc networks of unmanned aerial vehicles (UAVs) allow for real-time data sharing, but they face security challenges due to their d ... Full text CiteProceedings of the 12th annual deep brain stimulation think tank: cutting edge technology meets novel applications.
Journal Article Front Hum Neurosci · 2025 The Deep Brain Stimulation (DBS) Think Tank XII was held on August 21st to 23rd. This year we showcased groundbreaking advancements in neuromodulation technology, focusing heavily on the novel uses of existing technology as well as next-generation technolo ... Full text Link to item CiteHow Foundational Is the Retina Foundation Model? Estimating RETFound's Label Efficiency on Binary Classification of Normal versus Abnormal OCT Images.
Journal Article Ophthalmol Sci · 2025 OBJECTIVE: While the availability of public internet-scale datasets of images and language has catalyzed remarkable progress in machine learning, medical datasets are constrained by regulations protecting patient privacy and the time and cost required for ... Full text Link to item 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.