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
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 Publications
LIO-VisionAR: Intelligence-enabled augmented reality guidance for laser indirect ophthalmoscope-based retinal laser therapy
Journal Article Intelligence Based Medicine · March 1, 2026 Objective Laser indirect ophthalmoscope (LIO) retinal therapy is a complex procedure that demands precision. We present LIO-VisionAR, an intelligence-enabled augmented reality (AR) guidance system designed to support safer and more effective training for L ... Full text CiteArtificial intelligence in age-related macular degeneration: Advancing diagnosis, prognosis, and treatment.
Journal Article Surv Ophthalmol · 2026 Age-related macular degeneration (AMD) is a leading cause of irreversible vision loss in older adults. While anti-vascular endothelial growth factor (anti-VEGF) therapy and novel treatments for geographic atrophy have improved management, timely diagnosis ... Full text Link to item CiteSecurity-Aware Sensor Fusion with MATE: the Multi-Agent Trust Estimator
Conference Ccs 2025 Proceedings of the 2025 ACM Sigsac Conference on Computer and Communications Security · November 22, 2025 Sensor fusion in multi-agent systems, including smart cities, often lacks security awareness and is vulnerable to attacks. We propose a security-aware sensor fusion framework that estimates and incorporates probabilistic trust with uncertainty to defend ag ... Full text CiteRecent Grants
Learning-based 3D modeling of AMD to assess disease progression and response to treatment
ResearchCo Investigator · Awarded by National Institutes of Health · 2023 - 2027PARTNER: Neuro-Inspired AI for the Edge at UTSA (NAIAD)
ResearchCo-Principal Investigator · Awarded by The University of Texas at San Antonio · 2023 - 2027AI Institute: Athena: AI-Driven Next-generation Networks at the Edge
ResearchCo-Principal Investigator · Awarded by National Science Foundation · 2021 - 2027View All Grants
Education
University of Pennsylvania ·
2012
Ph.D.