2026 Miroslav Pajic: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	33	12703	12334	5130	4897	202	4511

Overview

Miroslav Pajic is a researcher affiliated with Duke University in the United States. Their work spans multiple fields, primarily focusing on computer science and engineering, with significant contributions in subfields such as artificial intelligence, control and systems engineering, and computational theory and mathematics.

The researcher's publication record includes numerous papers, with a concentration in topics like adversarial robustness in machine learning, smart grid security and resilience, and formal methods in verification. Other notable areas of study include retinal imaging and analysis, anomaly detection techniques and applications, neurological disorders and treatments, and security and verification in computing.

Recent papers authored or coauthored by Miroslav Pajic include the following:

"At home adaptive dual target deep brain stimulation in Parkinson's disease with proportional control," 2023, published in Brain
"A Reinforcement Learning-Informed Pattern Mining Framework for Multivariate Time Series Classification," 2022, published in Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence
"Attacks on Distributed Sequential Control in Manufacturing Automation," 2020, published in IEEE Transactions on Industrial Informatics
"An optimal graph-search method for secure state estimation," 2020, published in Automatica
"Adaptive Droplet Routing for MEDA Biochips via Deep Reinforcement Learning," 2022, published in 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE)

Miroslav Pajic has collaborated frequently with several coauthors, many of whom have contributed extensively alongside them. Frequent collaborators include Qitong Gao, Yu Wang, Amir Khazraei, R. Spencer Hallyburton, and Alper Kamil Bozkurt.

In terms of publishing venues, Miroslav Pajic's work is often presented in prominent outlets such as:

arXiv (Cornell University)
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Zenodo (CERN European Organization for Nuclear Research)
IEEE Transactions on Industrial Informatics
Automatica

Their research intersects theoretical and applied aspects of computing and engineering, connecting areas such as machine learning robustness with practical applications in industrial automation and neurological treatment methods. This multidisciplinary approach reflects the integration of computational techniques with control systems and biomedical applications.

Best Publications

Coding Schemes for Securing Cyber-Physical Systems Against Stealthy Data Injection Attacks

Fei Miao;Quanyan Zhu;Miroslav Pajic;George J. Pappas

317
Citations
Robustness of Attack-Resilient State Estimators

Miroslav Pajic;James Weimer;Nicola Bezzo;Paulo Tabuada

276
Citations
Cyber–Physical Modeling of Implantable Cardiac Medical Devices

Zhihao Jiang;M. Pajic;R. Mangharam

214
Citations
The Wireless Control Network: A New Approach for Control Over Networks

M. Pajic;S. Sundaram;G. J. Pappas;R. Mangharam

207
Citations
Attack-Resilient State Estimation for Noisy Dynamical Systems

Miroslav Pajic;Insup Lee;George J. Pappas

192
Citations
Stochastic game approach for replay attack detection

Fei Miao;Miroslav Pajic;George J. Pappas

188
Citations
Modeling and verification of a dual chamber implantable pacemaker

Zhihao Jiang;Miroslav Pajic;Salar Moarref;Rajeev Alur

185
Citations
Toward patient safety in closed-loop medical device systems

David Arney;Miroslav Pajic;Julian M. Goldman;Insup Lee

164
Citations
Design and Implementation of Attack-Resilient Cyberphysical Systems: With a Focus on Attack-Resilient State Estimators

Miroslav Pajic;James Weimer;Nicola Bezzo;Oleg Sokolsky

152
Citations
Model-Driven Safety Analysis of Closed-Loop Medical Systems

Miroslav Pajic;Rahul Mangharam;Oleg Sokolsky;David Arney

148
Citations
Opportunistic Control Over Shared Wireless Channels

Konstantinos Gatsis;Miroslav Pajic;Alejandro Ribeiro;George J. Pappas

119
Citations
Closed-loop verification of medical devices with model abstraction and refinement

Zhihao Jiang;Miroslav Pajic;Rajeev Alur;Rahul Mangharam

109
Citations
From Verification to Implementation: A Model Translation Tool and a Pacemaker Case Study

Miroslav Pajic;Zhihao Jiang;Insup Lee;Oleg Sokolsky

99
Citations
Real-Time Heart Model for Implantable Cardiac Device Validation and Verification

Zhihao Jiang;Miroslav Pajic;Allison Connolly;Sanjay Dixit

99
Citations
Control Synthesis from Linear Temporal Logic Specifications using Model-Free Reinforcement Learning

Alper Kamil Bozkurt;Yu Wang;Michael M. Zavlanos;Miroslav Pajic

96
Citations
Sensor attack detection in the presence of transient faults

Junkil Park;Radoslav Ivanov;James Weimer;Miroslav Pajic

93
Citations
A hybrid stochastic game for secure control of cyber-physical systems

Fei Miao;Quanyan Zhu;Miroslav Pajic;George J. Pappas

84
Citations
The wireless control network: Monitoring for malicious behavior

Shreyas Sundaram;Miroslav Pajic;Christoforos N. Hadjicostis;Rahul Mangharam

82
Citations
Coding sensor outputs for injection attacks detection

Fei Miao;Quanyan Zhu;Miroslav Pajic;George J. Pappas

80
Citations
Attack-resilient state estimation in the presence of noise

Miroslav Pajic;Paulo Tabuada;Insup Lee;George J. Pappas

76
Citations
Attack resilient state estimation for autonomous robotic systems

Nicola Bezzo;James Weimer;Miroslav Pajic;Oleg Sokolsky

76
Citations
Attack-Resilient Sensor Fusion for Safety-Critical Cyber-Physical Systems

Radoslav Ivanov;Miroslav Pajic;Insup Lee

74
Citations
Cyber-Physical Modeling of Implantable Cardiac Medical Devices The authors present an approach for verification of heart pacemaker device software, and a heart model that is effective when a pacemaker drives the heart into a harmful condition.

Zhihao Jiang;Miroslav Pajic;Rahul Mangharam

1
Citations

Frequent Co-Authors

Rahul Mangharam University of Pennsylvania

George J. Pappas University of Pennsylvania

Insup Lee University of Pennsylvania

Oleg Sokolsky University of Pennsylvania

Shreyas Sundaram Purdue University West Lafayette

Michael M. Zavlanos Duke University

Krishnendu Chakrabarty Arizona State University

Quanyan Zhu New York University

Mary L. Cummings Duke University

Paulo Tabuada University of California, Los Angeles

External Links

Personal website of Miroslav Pajic

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