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Miroslav Pajic

Professor in the Department of Electrical and Computer Engineering
Electrical and Computer Engineering

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

In the News


Published February 3, 2025
Celebrating Duke’s New Full Professors
Published November 12, 2024
AI is the Biggest Cybersecurity Question Mark. Is It Also the Answer?
Published February 2, 2024
Engineers Develop Hack to Make Cars Hallucinate

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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 Cite

Proceedings 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 Cite

How 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 Cite
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Recent Grants


PARTNER: Neuro-Inspired AI for the Edge at UTSA (NAIAD)

ResearchCo-Principal Investigator · Awarded by The University of Texas at San Antonio · 2023 - 2027

An Integrated Biomarker Approach to Personalized, Adaptive Deep Brain Stimulation in Parkinson Disease

ResearchCo Investigator · Awarded by National Institute of Neurological Disorders and Stroke · 2023 - 2027

AI Institute: Athena: AI-Driven Next-generation Networks at the Edge

ResearchCo-Principal Investigator · Awarded by National Science Foundation · 2021 - 2026

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Education, Training & Certifications


University of Pennsylvania · 2012 Ph.D.

External Links


Webpage