Miroslav Pajic
Dickinson Family Associate Professor
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 Research Interests
Design and analysis of autonomous cyber-physical systems (CPS), and in particular, embedded systems, AI, learning and controls, CPS security and high-assurance autonomy, with various application domains including robotics, automotive, and medical systems
Current Appointments & Affiliations
- Dickinson Family Associate Professor, Electrical and Computer Engineering, Pratt School of Engineering 2020
- Associate Professor in the Department of Electrical and Computer Engineering, Electrical and Computer Engineering, Pratt School of Engineering 2020
- Associate Professor of Computer Science, Computer Science, Trinity College of Arts & Sciences 2020
- Associate Professor in the Thomas Lord Department of Mechanical Engineering and Materials Science, Thomas Lord Department of Mechanical Engineering and Materials Science, Pratt School of Engineering 2022
Contact Information
- Background
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Education, Training, & Certifications
- Ph.D., University of Pennsylvania 2012
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Previous Appointments & Affiliations
- Assistant Professor in the Department of Electrical and Computer Engineering, Electrical and Computer Engineering, Pratt School of Engineering 2015 - 2020
- Assistant Professor of Computer Science, Computer Science, Trinity College of Arts & Sciences 2016 - 2020
- Nortel Networks Assistant Professor in the Pratt School of Engineering, Electrical and Computer Engineering, Pratt School of Engineering 2018 - 2020
- Adjunct Assistant Professor in the Department of Electrical and Computer Engineering, Electrical and Computer Engineering, Pratt School of Engineering 2014 - 2015
- Recognition
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In the News
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MAR 15, 2022 Pratt School of Engineering -
SEP 21, 2021 Office of Faculty Advancement -
OCT 12, 2018 Pratt School of Engineering -
AUG 31, 2015 Duke Today -
APR 2, 2015 Pratt School of Engineering
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- Expertise
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Subject Headings
- Research
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Selected Grants
- An Integrated Biomarker Approach to Personalized, Adaptive Deep Brain Stimulation in Parkinson Disease awarded by National Institutes of Health 2023 - 2027
- AI Institute: Athena: AI-Driven Next-generation Networks at the Edge awarded by National Science Foundation 2021 - 2026
- Analyzing retinal microanatomy in retinopathy of prematurity to improve care awarded by National Institutes of Health 2021 - 2026
- General Framework for Vulnerability Analysis of Cyber-Physical Systems awarded by Office of Naval Research 2023 - 2026
- SHF: Small: Transforming Computer Architecture Evaluation with Statistical Model Checking awarded by National Science Foundation 2021 - 2024
- IUCRC Proposal Phase 1 Duke: Center for Alternative Sustainable and Intelligent Computing (ASIC) awarded by National Science Foundation 2018 - 2023
- Adaptive Protocol Synthesis and Error Recovery in Micro-Electrode-Dot-Array (MEDA) Microfluidic Biochips awarded by Arizona State University 2023
- Adaptive Protocol Synthesis and Error Recovery in Micro-Electrode-Dot-Array (MEDA) Microfluidic Biochips awarded by National Science Foundation 2019 - 2023
- Center of Excellence: Assured Autonomy in Contested Environments awarded by University of Florida 2019 - 2023
- CAREER: Foundations for Secure Control of Cyber-Physical Systems awarded by National Science Foundation 2017 - 2023
- Scalar Closed-Loop STN/GPi DBS Based on Evoked and Spontaneous Potentials awarded by National Institutes of Health 2017 - 2023
- Platform-Level Services for Security of Naval Cyber-Physical Systems awarded by Office of Naval Research 2019 - 2022
- CPS: Medium: Collaborative Research: Smart Ultrasound Elastography for Improved Medical Imaging awarded by National Science Foundation 2018 - 2022
- Next Big Research Challenges in Cyber-Physical Systems awarded by National Science Foundation 2021 - 2022
- Design of High-Assurance Cyber-Physical Systems awarded by Office of Naval Research 2017 - 2021
- Development of Control-Aware Cyber Techniques for Attack-Resilient Industrial Control & Combat Systems awarded by University of Pennsylvania 2017 - 2020
- Planning IUCRC Duke University: Center for Alternative Sustainable and Intelligent Computing awarded by National Science Foundation 2017 - 2018
- Synergy: Collaborative Research: Security and Privacy-Aware Cyber-Physical Systems awarded by Intel Corporation 2015 - 2018
- Design of High-Assurance Autonomous Vehicles awarded by University of Pennsylvania 2015 - 2016
- Publications & Artistic Works
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Selected Publications
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Academic Articles
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Elfar, M., Y. C. Chang, H. H. Y. Ku, T. C. Liang, K. Chakrabarty, and M. Pajic. “Deep Reinforcement Learning-Based Approach for Efficient and Reliable Droplet Routing on MEDA Biochips.” Ieee Transactions on Computer Aided Design of Integrated Circuits and Systems 42, no. 4 (April 1, 2023): 1212–22. https://doi.org/10.1109/TCAD.2022.3194808.Full Text
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Lesi, V., Z. Jakovljevic, and M. Pajic. “IoT-Enabled Motion Control: Architectural Design Challenges and Solutions.” Ieee Transactions on Industrial Informatics 19, no. 3 (March 1, 2023): 2284–94. https://doi.org/10.1109/TII.2022.3202175.Full Text
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Lesi, V., Z. Jakovljevic, and M. Pajic. “Security Analysis for Distributed IoT-Based Industrial Automation.” Ieee Transactions on Automation Science and Engineering 19, no. 4 (October 1, 2022): 3093–3108. https://doi.org/10.1109/TASE.2021.3106335.Full Text
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Elfar, M., T. C. Liang, K. Chakrabarty, and M. Pajic. “Formal Synthesis of Adaptive Droplet Routing for MEDA Biochips.” Ieee Transactions on Computer Aided Design of Integrated Circuits and Systems 41, no. 8 (August 1, 2022): 2504–17. https://doi.org/10.1109/TCAD.2021.3110190.Full Text
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Rojas, Erick, Stephen L. Schmidt, Afsana Chowdhury, Miroslav Pajic, Dennis A. Turner, and Deborah S. Won. “A comparison of an implanted accelerometer with a wearable accelerometer for closed-loop DBS.” Annu Int Conf Ieee Eng Med Biol Soc 2022 (July 2022): 3439–42. https://doi.org/10.1109/EMBC48229.2022.9871232.Full Text Link to Item
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Lee, T., M. Hu, Q. Gao, J. Amason, D. Borkar, D. D’Alessio, M. Canos, A. Shariff, M. Pajic, and M. Hadziahmetovic. “Evaluation of a deep learning supported remote diagnosis model for identification of diabetic retinopathy using wide-field Optomap.” Annals of Eye Science 7 (June 1, 2022). https://doi.org/10.21037/aes-21-53.Full Text
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Khazraei, A., and M. Pajic. “Attack-resilient state estimation with intermittent data authentication.” Automatica 138 (April 1, 2022). https://doi.org/10.1016/j.automatica.2021.110035.Full Text
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Khazraei, A., S. Hallyburton, Q. Gao, Y. Wang, and M. Pajic. “Learning-Based Vulnerability Analysis of Cyber-Physical Systems.” Proceedings 13th Acm/Ieee International Conference on Cyber Physical Systems, Iccps 2022, January 1, 2022, 259–69. https://doi.org/10.1109/ICCPS54341.2022.00030.Full Text
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Spencer Hallyburton, R., Y. Liu, Y. Cao, Z. Morley Mao, and M. Pajic. “Security Analysis of Camera-LiDAR Fusion Against Black-Box Attacks on Autonomous Vehicles.” Proceedings of the 31st Usenix Security Symposium, Security 2022, January 1, 2022, 1903–20.
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Sun, S., Y. Zhang, X. Luo, P. Vlantis, M. Pajic, and M. M. Zavlanos. “Formal Verification of Stochastic Systems with ReLU Neural Network Controllers.” Proceedings Ieee International Conference on Robotics and Automation, January 1, 2022, 6800–6806. https://doi.org/10.1109/ICRA46639.2022.9811866.Full Text
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Wang, Y., M. Zarei, B. Bonakdarpoor, and M. Pajic. “Probabilistic conformance for cyber-physical systems.” Iccps 2021 Proceedings of the 2021 Acm/Ieee 12th International Conference on Cyber Physical Systems (With Cps Iot Week 2021), May 19, 2021, 55–66. https://doi.org/10.1145/3450267.3450534.Full Text
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Gao, Qitong, Joshua Amason, Scott Cousins, Miroslav Pajic, and Majda Hadziahmetovic. “Automated Identification of Referable Retinal Pathology in Teleophthalmology Setting.” Transl Vis Sci Technol 10, no. 6 (May 3, 2021): 30. https://doi.org/10.1167/tvst.10.6.30.Full Text Link to Item
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Jakovljevic, Z., V. Lesi, and M. Pajic. “Attacks on Distributed Sequential Control in Manufacturing Automation.” Ieee Transactions on Industrial Informatics 17, no. 2 (February 1, 2021): 775–86. https://doi.org/10.1109/TII.2020.2987629.Full Text
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Luo, X., M. Pajic, and M. M. Zavlanos. “An optimal graph-search method for secure state estimation.” Automatica 123 (January 1, 2021). https://doi.org/10.1016/j.automatica.2020.109323.Full Text
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Bozkurt, A. K., Y. Wang, M. M. Zavlanos, and M. Pajic. “Model-Free Reinforcement Learning for Stochastic Games with Linear Temporal Logic Objectives.” Proceedings Ieee International Conference on Robotics and Automation 2021-May (January 1, 2021): 10649–55. https://doi.org/10.1109/ICRA48506.2021.9561989.Full Text
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Bozkurt, A. K., Y. Wang, and M. Pajic. “Secure Planning Against Stealthy Attacks via Model-Free Reinforcement Learning.” Proceedings Ieee International Conference on Robotics and Automation 2021-May (January 1, 2021): 10656–62. https://doi.org/10.1109/ICRA48506.2021.9560940.Full Text
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Bozkurt, A. K., Y. Wang, and M. Pajic. “Model-Free Learning of Safe yet Effective Controllers.” Proceedings of the Ieee Conference on Decision and Control 2021-December (January 1, 2021): 6560–65. https://doi.org/10.1109/CDC45484.2021.9683634.Full Text
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Liang, T. C., Z. Zhong, M. Pajic, and K. Chakrabarty. “Extending the Lifetime of MEDA Biochips by Selective Sensing on Microelectrodes.” Ieee Transactions on Computer Aided Design of Integrated Circuits and Systems 39, no. 11 (November 1, 2020): 3531–43. https://doi.org/10.1109/TCAD.2020.3012746.Full Text
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Jakovljevic, Z., V. Lesi, S. Mitrovic, and M. Pajic. “Distributing Sequential Control for Manufacturing Automation Systems.” Ieee Transactions on Control Systems Technology 28, no. 4 (July 1, 2020): 1586–94. https://doi.org/10.1109/TCST.2019.2912776.Full Text
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Gao, Qitong, Ying Xu, Joshua Amason, Anna Loksztejn, Scott Cousins, Miroslav Pajic, and Majda Hadziahmetovic. “Automated Recognition of Retinal Pigment Epithelium Cells on Limited Training Samples Using Neural Networks.” Transl Vis Sci Technol 9, no. 2 (June 2020): 31. https://doi.org/10.1167/tvst.9.2.31.Full Text Link to Item
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Bozkurt, A. K., Y. Wang, M. M. Zavlanos, and M. Pajic. “Control Synthesis from Linear Temporal Logic Specifications using Model-Free Reinforcement Learning.” Proceedings Ieee International Conference on Robotics and Automation, May 1, 2020, 10349–55. https://doi.org/10.1109/ICRA40945.2020.9196796.Full Text
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Wang, Y., S. Nalluri, and M. Pajic. “Hyperproperties for Robotics: Planning via HyperLTL.” Proceedings Ieee International Conference on Robotics and Automation, May 1, 2020, 8462–68. https://doi.org/10.1109/ICRA40945.2020.9196874.Full Text
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Lesi, V., I. Jovanov, and M. Pajic. “Integrating Security in Resource-Constrained Cyber-Physical Systems.” Acm Transactions on Cyber Physical Systems 4, no. 3 (May 1, 2020). https://doi.org/10.1145/3380866.Full Text
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Elfar, M., Y. Wang, and M. Pajic. “Context-Aware Temporal Logic for Probabilistic Systems.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 12302 LNCS (January 1, 2020): 215–32. https://doi.org/10.1007/978-3-030-59152-6_12.Full Text
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Nedeljkovic, D. M., Z. B. Jakovljevic, Z. D. Miljkovic, and M. Pajic. “Detection of Cyber-attacks in Systems with Distributed Control based on Support Vector Regression.” Telfor Journal 12, no. 2 (January 1, 2020): 104–9. https://doi.org/10.5937/TELFOR2002104N.Full Text
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Jovanov, I., and M. Pajic. “Relaxing Integrity Requirements for Attack-Resilient Cyber-Physical Systems.” Ieee Transactions on Automatic Control 64, no. 12 (December 1, 2019): 4843–58. https://doi.org/10.1109/TAC.2019.2898510.Full Text
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Zhu, H., M. L. Cummings, M. Elfar, Z. Wang, and M. Pajic. “Operator Strategy Model Development in UAV Hacking Detection.” Ieee Transactions on Human Machine Systems 49, no. 6 (December 1, 2019): 540–49. https://doi.org/10.1109/THMS.2018.2888578.Full Text
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Ivanov, R., N. Atanasov, M. Pajic, J. Weimer, G. J. Pappas, and I. Lee. “Continuous estimation using context-dependent discrete measurements.” Ieee Transactions on Automatic Control 64, no. 1 (January 1, 2019): 238–53. https://doi.org/10.1109/TAC.2018.2797839.Full Text
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Lee, I., and M. Pajic. “Guest editorial: Special issue on medical cyber-physical systems.” Acm Transactions on Cyber Physical Systems 2, no. 4 (August 1, 2018). https://doi.org/10.1145/3243122.Full Text
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Miao, F., Q. Zhu, M. Pajic, and G. J. Pappas. “A hybrid stochastic game for secure control of cyber-physical systems.” Automatica 93 (July 1, 2018): 55–63. https://doi.org/10.1016/j.automatica.2018.03.012.Full Text
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Li, Z., K. Y. T. Lai, J. McCrone, P. H. Yu, K. Chakrabarty, M. Pajic, T. Y. Ho, and C. Y. Lee. “Efficient and Adaptive Error Recovery in a Micro-Electrode-Dot-Array Digital Microfluidic Biochip.” Ieee Transactions on Computer Aided Design of Integrated Circuits and Systems 37, no. 3 (March 1, 2018): 601–14. https://doi.org/10.1109/TCAD.2017.2729347.Full Text
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Pajic, M., J. Weimer, N. Bezzo, O. Sokolsky, G. J. Pappas, and I. Lee. “Design and Implementation of Attack-Resilient Cyberphysical Systems: With a Focus on Attack-Resilient State Estimators.” Ieee Control Systems 37, no. 2 (April 1, 2017): 66–81. https://doi.org/10.1109/MCS.2016.2643239.Full Text
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Miao, F., Q. Zhu, M. Pajic, and G. J. Pappas. “Coding Schemes for Securing Cyber-Physical Systems Against Stealthy Data Injection Attacks.” Ieee Transactions on Control of Network Systems 4, no. 1 (March 1, 2017): 106–17. https://doi.org/10.1109/TCNS.2016.2573039.Full Text
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Pajic, M., I. Lee, and G. J. Pappas. “Attack-resilient state estimation for noisy dynamical systems.” Ieee Transactions on Control of Network Systems 4, no. 1 (March 1, 2017): 82–92. https://doi.org/10.1109/TCNS.2016.2607420.Full Text
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Jakovljevic, Z., S. Mitrovic, and M. Pajic. “Cyber physical production systems-an IEC 61499 perspective.” Lecture Notes in Mechanical Engineering, January 1, 2017, 27–39. https://doi.org/10.1007/978-3-319-56430-2_3.Full Text
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Jakovljevic, Z., V. Majstorovic, S. Stojadinovic, S. Zivkovic, N. Gligorijevic, and M. Pajic. “Cyber-physical manufacturing systems (CPMS).” Lecture Notes in Mechanical Engineering, January 1, 2017, 199–214. https://doi.org/10.1007/978-3-319-56430-2_14.Full Text
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Park, J., R. Ivanov, J. Weimer, M. Pajic, S. H. Son, and I. Lee. “Security of cyber-physical systems in the presence of transient sensor faults.” Acm Transactions on Cyber Physical Systems 1, no. 3 (January 1, 2017). https://doi.org/10.1145/3064809.Full Text
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Jakovljevic, Z., P. B. Petrovic, D. Milkovic, and M. Pajic. “Diagnosis of irregularities in the robotized part mating process based on contextual recognition of contact states transitions.” Assembly Automation 35, no. 2 (April 7, 2015): 190–99. https://doi.org/10.1108/AA-10-2014-077.Full Text
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Jakovljevic, Z., R. Puzovic, and M. Pajic. “Recognition of Planar Segments in Point Cloud based on Wavelet Transform.” Ieee Transactions on Industrial Informatics, April 2015, 342–52. https://doi.org/10.1109/TII.2015.2389195.Full Text Open Access Copy
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Gatsis, K., M. Pajic, A. Ribeiro, and G. J. Pappas. “Opportunistic Control Over Shared Wireless Channels.” Ieee Transactions on Automatic Control, March 2015, 3140–55. https://doi.org/10.1109/TAC.2015.2416922.Full Text Open Access Copy
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Jiang, Z., M. Pajic, R. Alur, and R. Mangharam. “Closed-loop verification of medical devices with model abstraction and refinement.” International Journal on Software Tools for Technology Transfer 16, no. 2 (April 1, 2014): 191–213. https://doi.org/10.1007/s10009-013-0289-7.Full Text
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Jakovljevic, Z., P. B. Petrovic, V. D. Mikovic, and M. Pajic. “Fuzzy inference mechanism for recognition of contact states in intelligent robotic assembly.” Journal of Intelligent Manufacturing 25, no. 3 (January 1, 2014): 571–87. https://doi.org/10.1007/s10845-012-0706-x.Full Text
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Pajic, M., Z. Jiang, I. Lee, O. Sokolsky, and R. Mangharam. “Safety-critical medical device development using the UPP2SF model translation tool.” Transactions on Embedded Computing Systems 13, no. 4 SPEC. ISSUE (January 1, 2014). https://doi.org/10.1145/2584651.Full Text Open Access Copy
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Mangharam, R., and M. Pajic. “Distributed control for cyber-physical systems.” Journal of the Indian Institute of Science 93, no. 3 (July 1, 2013): 353–87.
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Pajic, M., R. Mangharam, G. J. Pappas, and S. Sundaram. “Topological conditions for in-network stabilization of dynamical systems.” Ieee Journal on Selected Areas in Communications 31, no. 4 (April 4, 2013): 794–807. https://doi.org/10.1109/JSAC.2013.130415.Full Text Open Access Copy
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Pajic, M., A. Chernoguzov, and R. Mangharam. “Robust architectures for embedded wireless network control and actuation.” Transactions on Embedded Computing Systems 11, no. 4 (December 1, 2012). https://doi.org/10.1145/2362336.2362349.Full Text
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Pajic, Miroslav, Rahul Mangharam, Oleg Sokolsky, David Arney, Julian Goldman, and Insup Lee. “Model-Driven Safety Analysis of Closed-Loop Medical Systems.” Ieee Transactions on Industrial Informatics, October 2012. https://doi.org/10.1109/tii.2012.2226594.Full Text Open Access Copy
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Hadziahmetovic, Majda, Miroslav Pajic, Steven Grieco, Ying Song, Delu Song, Yafeng Li, Alyssa Cwanger, et al. “The Oral Iron Chelator Deferiprone Protects Against Retinal Degeneration Induced through Diverse Mechanisms.” Transl Vis Sci Technol 1, no. 3 (2012): 2. https://doi.org/10.1167/tvst.1.3.2.Full Text Link to Item
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Zhihao, Jiang, M. Pajic, and R. Mangharam. “Cyber-Physical Modeling of Implantable Cardiac Medical Devices.” Proceedings of the Ieee 100, no. 1 (January 2012): 122–37. https://doi.org/10.1109/JPROC.2011.2161241.Full Text
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Pajic, M., S. Sundaram, G. J. Pappas, and R. Mangharam. “The wireless control network: A new approach for control over networks.” Ieee Transactions on Automatic Control 56, no. 10 (October 1, 2011): 2305–18. https://doi.org/10.1109/TAC.2011.2163864.Full Text Open Access Copy
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Mangharam, R., and M. Pajic. “Spatio-temporal techniques for anti-jamming in embedded wireless networks.” Eurasip Journal on Wireless Communications and Networking 2010 (June 18, 2010). https://doi.org/10.1155/2010/819318.Full Text
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Ivanov, R., Jason E., M. Pajic, and M. Lee, I. “Attack-Resilient Sensor Fusion for Safety-Critical Cyber-Physical Systems (Accepted).” Acm Transactions on Embedded Computing Systems, n.d.Open Access Copy
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Book Sections
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Ivanov, R., M. Pajic, and I. Lee. “Attack-resilient sensor fusion for CPS.” In Multisensor Data Fusion: From Algorithms and Architectural Design to Applications, 409–21, 2017. https://doi.org/10.1201/b18851.Full Text
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Weimer, James, Nicola Bezzo, Miroslav Pajic, GeorgeJ Pappas, Oleg Sokolsky, and Insup Lee. “Resilient Parameter-Invariant Control with Application to Vehicle Cruise Control.” In Control of Cyber-Physical Systems, edited by Danielle C. Tarraf, 449:197–216. Springer International Publishing, 2013. https://doi.org/10.1007/978-3-319-01159-2_11.Full Text
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Jiang, Zhihao, Miroslav Pajic, Salar Moarref, Rajeev Alur, and Rahul Mangharam. “Modeling and Verification of a Dual Chamber Implantable Pacemaker.” In Tools and Algorithms for the Construction and Analysis of Systems, edited by Cormac Flanagan and Barbara KÃ nig, 7214:188–203. Springer Berlin Heidelberg, 2012. https://doi.org/10.1007/978-3-642-28756-5_14.Full Text
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Ivanov, R, Rick M., M. Pajic, and M. Lee, I. “Attack-Resilient Sensor Fusion for CPS.” edited by M. Fourati, H., 409–24. CRC Press, n.d.
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Conference Papers
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Eom, S., M. Hadziahmetovic, M. Pajic, and M. Gorlatova. “Demo Abstract: Through an AR Lens: Augmented Reality Magnification through Feature Detection and Matching.” In Sensys 2022 Proceedings of the 20th Acm Conference on Embedded Networked Sensor Systems, 784–85, 2022. https://doi.org/10.1145/3560905.3568067.Full Text
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Elfar, M., T. C. Liang, K. Chakrabarty, and M. Pajic. “Adaptive Droplet Routing for MEDA Biochips via Deep Reinforcement Learning.” In Proceedings of the 2022 Design, Automation and Test in Europe Conference and Exhibition, Date 2022, 640–45, 2022. https://doi.org/10.23919/DATE54114.2022.9774737.Full Text
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Gao, G., Q. Gao, X. Yang, M. Pajic, and M. Chi. “A Reinforcement Learning-Informed Pattern Mining Framework for Multivariate Time Series Classification.” In Ijcai International Joint Conference on Artificial Intelligence, 2994–3000, 2022.
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Gao, Q., D. Wang, J. D. Amason, S. Yuan, C. Tao, R. Henao, M. Hadziahmetovic, L. Carin, and M. Pajic. “GRADIENT IMPORTANCE LEARNING FOR INCOMPLETE OBSERVATIONS.” In Iclr 2022 10th International Conference on Learning Representations, 2022.
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Gao, Q., S. L. Schmidt, K. Kamaravelu, D. A. Turner, W. M. Grill, and M. Pajic. “Offline Policy Evaluation for Learning-based Deep Brain Stimulation Controllers.” In Proceedings 13th Acm/Ieee International Conference on Cyber Physical Systems, Iccps 2022, 80–91, 2022. https://doi.org/10.1109/ICCPS54341.2022.00014.Full Text
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Hallyburton, R. S., A. Khazraei, and M. Pajic. “Optimal Myopic Attacks on Nonlinear Estimation.” In Proceedings of the Ieee Conference on Decision and Control, 2022-December:5480–85, 2022. https://doi.org/10.1109/CDC51059.2022.9992711.Full Text
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Khazraei, A., and M. Pajic. “Resiliency of Nonlinear Control Systems to Stealthy Sensor Attacks.” In Proceedings of the Ieee Conference on Decision and Control, 2022-December:7109–14, 2022. https://doi.org/10.1109/CDC51059.2022.9992988.Full Text
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Kim, K. H., D. Kara, V. Paruchuri, S. Mohan, G. Kimberly, D. Osipychev, J. H. Kim, J. D. Eckhardt, and M. Pajic. “Insights on Using Deep Learning to Spoof Inertial Measurement Units for Stealthy Attacks on UAVs.” In Proceedings Ieee Military Communications Conference Milcom, 2022-November:1065–69, 2022. https://doi.org/10.1109/MILCOM55135.2022.10017482.Full Text
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Wang, Y., Q. Gao, and M. Pajic. “Learning Monotone Dynamics by Neural Networks.” In Proceedings of the American Control Conference, 2022-June:1485–90, 2022. https://doi.org/10.23919/ACC53348.2022.9867181.Full Text
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Asare, P., L. Feng, J. Lamp, M. Pajic, and J. Weimer. “Foreword to the MCPS 2021 Proceedings Message from the Chairs.” In Mcps 2021 Proceedings of the 2021 Medical Cyber Physical Systems and Internet of Medical Things, I, 2021.
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Elfar, M., T. C. Liang, K. Chakrabarty, and M. Pajic. “Formal Synthesis of Adaptive Droplet Routing for MEDA Biochips.” In Proceedings Design, Automation and Test in Europe, Date, 2021-February:324–29, 2021. https://doi.org/10.23919/DATE51398.2021.9474144.Full Text
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Chen, Y., A. Li, H. Yang, T. Zhang, Y. Yang, H. Li, S. Banerjee, and M. Pajic. “AI-Powered IoT System at the Edge.” In Proceedings 2021 Ieee 3rd International Conference on Cognitive Machine Intelligence, Cogmi 2021, 242–51, 2021. https://doi.org/10.1109/CogMI52975.2021.00039.Full Text
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Wang, Y., S. Nalluri, B. Bonakdarpour, and M. Pajic. “Statistical Model Checking for Hyperproperties.” In Proceedings Ieee Computer Security Foundations Symposium, Vol. 2021-June, 2021. https://doi.org/10.1109/CSF51468.2021.00009.Full Text
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Khazraei, A., and M. Pajic. “Perfect Attackability of Linear Dynamical Systems with Bounded Noise.” In Proceedings of the American Control Conference, 2020-July:749–54, 2020. https://doi.org/10.23919/ACC45564.2020.9147833.Full Text
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Gao, Q., M. Pajic, and M. M. Zavlanos. “Deep Imitative Reinforcement Learning for Temporal Logic Robot Motion Planning with Noisy Semantic Observations.” In Proceedings Ieee International Conference on Robotics and Automation, 8490–96, 2020. https://doi.org/10.1109/ICRA40945.2020.9197297.Full Text
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Zarei, M., Y. Wang, and M. Pajic. “Statistical verification of learning-based cyber-physical systems.” In Hscc 2020 Proceedings of the 23rd International Conference on Hybrid Systems: Computation and Control ,Part of Cps Iot Week, 2020. https://doi.org/10.1145/3365365.3382209.Full Text
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Gao, Q., M. Naumann, I. Jovanov, V. Lesi, K. Kamaravelu, W. M. Grill, and M. Pajic. “Model-based design of closed loop deep brain stimulation controller using reinforcement learning.” In Proceedings 2020 Acm/Ieee 11th International Conference on Cyber Physical Systems, Iccps 2020, 108–18, 2020. https://doi.org/10.1109/ICCPS48487.2020.00018.Full Text
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Wang, Y., and M. Pajic. “Attack-Resilient Supervisory Control with Intermittently Secure Communication.” In Proceedings of the Ieee Conference on Decision and Control, 2019-December:2015–20, 2019. https://doi.org/10.1109/CDC40024.2019.9029366.Full Text
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Wang, Y., and M. Pajic. “Supervisory Control of Discrete Event Systems in the Presence of Sensor and Actuator Attacks.” In Proceedings of the Ieee Conference on Decision and Control, 2019-December:5350–55, 2019. https://doi.org/10.1109/CDC40024.2019.9029767.Full Text
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Nedeljkovic, D. M., Z. B. Jakovljevic, Z. D. Miljkovic, and M. Pajic. “Detection of cyber-attacks in electro-pneumatic positioning system with distributed control.” In 27th Telecommunications Forum, Telfor 2019, 2019. https://doi.org/10.1109/TELFOR48224.2019.8971062.Full Text
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Wang, Y., M. Zarei, B. Bonakdarpour, and M. Pajic. “Statistical verification of hyperproperties for cyber-physical systems.” In Acm Transactions on Embedded Computing Systems, Vol. 18, 2019. https://doi.org/10.1145/3358232.Full Text
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Lesi, V., Z. Jakovljevic, and M. Pajic. “Synchronization of Distributed Controllers in Cyber-Physical Systems.” In Ieee International Conference on Emerging Technologies and Factory Automation, Etfa, 2019-September:710–17, 2019. https://doi.org/10.1109/ETFA.2019.8869467.Full Text
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Elfar, M., H. Zhu, M. L. Cummings, and M. Pajic. “Security-aware synthesis of human-UAV protocols.” In Proceedings Ieee International Conference on Robotics and Automation, 2019-May:8011–17, 2019. https://doi.org/10.1109/ICRA.2019.8794385.Full Text
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Pajic, M., and L. Bushnell. “Message from the general and program committee co-chairs.” In Iccps 2019 Proceedings of the 2019 Acm/Ieee International Conference on Cyber Physical Systems, 2019.
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Lesi, V., Z. Jakovljevic, and M. Pajic. “Reliable industrial IoT-based distributed automation.” In Iotdi 2019 Proceedings of the 2019 Internet of Things Design and Implementation, 94–105, 2019. https://doi.org/10.1145/3302505.3310072.Full Text
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Elfar, M., Y. Wang, and M. Pajic. “Security-Aware Synthesis Using Delayed-Action Games.” In Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11561 LNCS:180–99, 2019. https://doi.org/10.1007/978-3-030-25540-4_10.Full Text
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Park, J., M. Pajic, O. Sokolsky, and I. Lee. “LCV: A verification tool for linear controller software.” In Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11427 LNCS:213–25, 2019. https://doi.org/10.1007/978-3-030-17462-0_12.Full Text
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Jovanov, I., M. Nauman, K. Kumaravelu, V. Lesi, A. Zutshi, W. M. Grill, and M. Pajic. “Learning-Based Control Design for Deep Brain Stimulation.” In Proceedings 9th Acm/Ieee International Conference on Cyber Physical Systems, Iccps 2018, 349–50, 2018. https://doi.org/10.1109/ICCPS.2018.00048.Full Text
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Jovanov, I., M. Naumann, K. Kumaravelu, W. M. Grill, and M. Pajic. “Platform for Model-Based Design and Testing for Deep Brain Stimulation.” In Proceedings 9th Acm/Ieee International Conference on Cyber Physical Systems, Iccps 2018, 263–74, 2018. https://doi.org/10.1109/ICCPS.2018.00033.Full Text
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Jovanov, I., and M. Pajic. “Secure State Estimation with Cumulative Message Authentication.” In Proceedings of the Ieee Conference on Decision and Control, 2018-December:2074–79, 2018. https://doi.org/10.1109/CDC.2018.8619250.Full Text
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Jovanov, I., and M. Pajic. “Sporadic data integrity for secure state estimation.” In 2017 Ieee 56th Annual Conference on Decision and Control, Cdc 2017, 2018-January:163–69, 2018. https://doi.org/10.1109/CDC.2017.8263660.Full Text
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Bonakdarpour, B., J. V. Deshmukh, and M. Pajic. “Opportunities and challenges in monitoring cyber-physical systems security.” In Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11247 LNCS:9–18, 2018. https://doi.org/10.1007/978-3-030-03427-6_2.Full Text
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Zhu, H., M. Elfar, M. Pajic, Z. Wang, and M. L. Cummings. “Human augmentation of UAV cyber-attack detection.” In Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10916 LNAI:154–67, 2018. https://doi.org/10.1007/978-3-319-91467-1_13.Full Text
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Elfar, M., Z. Zhong, Z. Li, K. Chakrabarty, and M. Pajic. “Synthesis of error-recovery protocols for micro-electrode-dot-array digital microfluidic biochips.” In Acm Transactions on Embedded Computing Systems, Vol. 16, 2017. https://doi.org/10.1145/3126538.Full Text
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Lesi, V., I. Jovanov, and M. Pajic. “Security-aware scheduling of embedded control tasks.” In Acm Transactions on Embedded Computing Systems, Vol. 16, 2017. https://doi.org/10.1145/3126518.Full Text
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Lesi, V., I. Jovanov, and M. Pajic. “Network Scheduling for Secure Cyber-Physical Systems.” In Proceedings Real Time Systems Symposium, 2018-January:45–55, 2017. https://doi.org/10.1109/RTSS.2017.00012.Full Text
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Elfar, M., H. Zhu, A. Raghunathan, Y. Y. Tay, J. Wubbenhorst, M. L. Cummings, and M. Pajic. “WiP abstract: Platform for security-aware design of human-on-the-loop cyber-physical systems.” In Proceedings 2017 Acm/Ieee 8th International Conference on Cyber Physical Systems, Iccps 2017 (Part of Cps Week), 93, 2017. https://doi.org/10.1145/3055004.3064846.Full Text
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Fricks, R. W. B., H. H. Tseng, M. Pajic, and K. S. Trivedi. “Transient performance & availability modeling in high volume outpatient clinics.” In Proceedings Annual Reliability and Maintainability Symposium, 2017. https://doi.org/10.1109/RAM.2017.7889777.Full Text
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Park, J., M. Pajic, O. Sokolsky, and I. Lee. “Automatic verification of finite precision implementations of linear controllers.” In Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10205 LNCS:153–69, 2017. https://doi.org/10.1007/978-3-662-54577-5_9.Full Text
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Bogdan, P., M. Pajic, P. P. Pande, and V. Raghunathan. “Making the Internet-of-Things a reality: From smart models, sensing and actuation to energy-efficient architectures.” In 2016 International Conference on Hardware/Software Codesign and System Synthesis, Codes+Isss 2016, 2016. https://doi.org/10.1145/2968456.2973272.Full Text
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Li, Z., K. Y. T. Lai, P. H. Yu, K. Chakrabarty, M. Pajic, T. Y. Ho, and C. Y. Lee. “Error recovery in a micro-electrode-dot-array digital microfluidic biochip?” In Ieee/Acm International Conference on Computer Aided Design, Digest of Technical Papers, Iccad, Vol. 07-10-November-2016, 2016. https://doi.org/10.1145/2966986.2967035.Full Text
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Lesi, V., Z. Jakovljevic, and M. Pajic. “Towards Plug-n-Play numerical control for Reconfigurable Manufacturing Systems.” In Ieee International Conference on Emerging Technologies and Factory Automation, Etfa, Vol. 2016-November, 2016. https://doi.org/10.1109/ETFA.2016.7733524.Full Text
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Ibrahim, M., C. Boswell, K. Chakrabarty, K. Scott, and M. Pajic. “A real-time digital-microfluidic platform for epigenetics.” In Proceedings of the International Conference on Compilers, Architectures and Synthesis for Embedded Systems, Cases 2016, 2016. https://doi.org/10.1145/2968455.2968516.Full Text
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Ivanov, R., N. Atanasov, J. Weimer, M. Pajic, A. Simpao, M. Rehman, G. Pappas, and I. Lee. “Estimation of Blood Oxygen Content Using Context-Aware Filtering.” In 2016 Acm/Ieee 7th International Conference on Cyber Physical Systems, Iccps 2016 Proceedings, 2016. https://doi.org/10.1109/ICCPS.2016.7479102.Full Text
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Mangharam, R., H. Abbas, M. Behl, K. Jang, M. Pajic, and Z. Jiang. “Three challenges in cyber-physical systems.” In 2016 8th International Conference on Communication Systems and Networks, Comsnets 2016, 2016. https://doi.org/10.1109/COMSNETS.2016.7440015.Full Text
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Park, J., M. Pajic, I. Lee, and O. Sokolsky. “Scalable verification of linear controller software.” In Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9636:662–79, 2016. https://doi.org/10.1007/978-3-662-49674-9_43.Full Text
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Pajic, M., J. Park, I. Lee, G. J. Pappas, and O. Sokolsky. “Automatic Verification of Linear Controller Software,” 217–26. IEEE, 2015. https://doi.org/10.1109/EMSOFT.2015.7318277.Full Text Open Access Copy
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Ivanov, R, Janine A., Janine A. Atanasov, N, M. Pajic, M. Pappas, G.J., and M. Lee, I. “Robust Estimation Using Context-Aware Filtering,” 2015.Open Access Copy
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Ivanov, R, E., E. Atanasov, N, M. Pajic, M. Lee, I, and M. Pappas, G J. “Robust Localization Using Context-Aware Filtering,” 2015.
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Pajic, M., P. Tabuada, I. Lee, and G. J. Pappas. “Attack-resilient state estimation in the presence of noise.” In Proceedings of the Ieee Conference on Decision and Control, 54rd IEEE Conference on Decision and Control,CDC 2015:5827–32, 2015. https://doi.org/10.1109/CDC.2015.7403135.Full Text
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Faruque, M. A. A., F. Regazzoni, and M. Pajic. “Design methodologies for securing cyber-physical systems.” In Proceedings of the 10th International Conference on Hardware/Software Codesign and System Synthesis (Codes+Isss), edited by G. Nicolescu and A. Gerstlauer, 30–36. IEEE, 2015. https://doi.org/10.1109/CODESISSS.2015.7331365.Full Text Open Access Copy
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Park, J., R. Ivanov, J. Weimer, M. Pajic, and I. Lee. “Sensor attack detection in the presence of transient faults.” In Proceedings of the 6th Acm/Ieee International Conference on Cyber Physical Systems (Iccps), edited by A. M. Bayen and M. S. Branicky, 1–10. ACM, 2015. https://doi.org/10.1145/2735960.2735984.Full Text
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Weimer, J., N. Bezzo, M. Pajic, O. Sokolsky, and Insup Lee. “Attack-resilient minimum mean-squared error estimation.” In American Control Conference (Acc), 2014, 1114–19, 2014. https://doi.org/10.1109/ACC.2014.6859478.Full Text
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Gatsis, K., M. Pajic, A. Ribeiro, and G. J. Pappas. “Opportunistic scheduling of control tasks over shared wireless channels.” In Cyber Physical Systems (Iccps), 2014 Acm/Ieee International Conference On, 48–59, 2014. https://doi.org/10.1109/ICCPS.2014.6843710.Full Text
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Pajic, M., J. Weimer, N. Bezzo, P. Tabuada, O. Sokolsky, Insup Lee, and G. J. Pappas. “Robustness of attack-resilient state estimators.” In Cyber Physical Systems (Iccps), 2014 Acm/Ieee International Conference On, 163–74, 2014. https://doi.org/10.1109/ICCPS.2014.6843720.Full Text Open Access Copy
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Ivanov, R., M. Pajic, and Insup Lee. “Attack-resilient sensor fusion.” In Design, Automation and Test in Europe Conference and Exhibition (Date), 2014, 1–6, 2014. https://doi.org/10.7873/DATE.2014.067.Full Text
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Ivanov, Radoslav, Miroslav Pajic, and Insup Lee. “Resilient Multidimensional Sensor Fusion Using Measurement History.” In Proceedings of the 3rd International Conference on High Confidence Networked Systems, 1–10. ACM, 2014. https://doi.org/10.1145/2566468.2566475.Full Text
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Bezzo, Nicola, James Weimer, Miroslav Pajic, Oleg Sokolsky, George J. Pappas, and Insup Lee. “Attack resilient state estimation for autonomous robotic systems.” In Iros, 3692–98. IEEE, 2014.
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Gatsis, Konstantinos, Miroslav Pajic, Alejandro Ribeiro, and George J. Pappas. “Opportunistic sensor scheduling in wireless control systems.” In Cdc, 3777–82. IEEE, 2014.
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Miao, Fei, Quanyan Zhu, Miroslav Pajic, and George J. Pappas. “Coding sensor outputs for injection attacks detection.” In Cdc, 5776–81. IEEE, 2014.
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Gatsis, K., M. Pajic, A. Ribeiro, and G. J. Pappas. “Power-aware communication for wireless sensor-actuator systems.” In Decision and Control (Cdc), 2013 Ieee 52nd Annual Conference On, 4006–11, 2013. https://doi.org/10.1109/CDC.2013.6760502.Full Text
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Pajic, M., S. Sundaram, and G. J. Pappas. “Stabilizability over deterministic relay networks.” In Decision and Control (Cdc), 2013 Ieee 52nd Annual Conference On, 4018–23, 2013. https://doi.org/10.1109/CDC.2013.6760504.Full Text
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Pajic, M., N. Bezzo, J. Weimer, O. Sokolsky, N. Michael, G. J. Pappas, P. Tabuada, and I. Lee. “Demo abstract: Synthesis of platform-aware attack-resilient vehicular systems.” In 2013 Acm/Ieee International Conference on Cyber Physical Systems, Iccps 2013, 251, 2013. https://doi.org/10.1109/ICCPS.2013.6604030.Full Text
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Pajic, Miroslav, Nicola Bezzo, James Weimer, Rajeev Alur, Rahul Mangharam, Nathan Michael, George J. Pappas, et al. “Towards Synthesis of Platform-aware Attack-resilient Control Systems: Extended Abstract.” In Proceedings of the 2nd Acm International Conference on High Confidence Networked Systems, 75–76. ACM, 2013. https://doi.org/10.1145/2461446.2461457.Full Text
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Miao, Fei, Miroslav Pajic, Rahul Mangharam, and George J. Pappas. “Networked realization of discrete-time controllers.” In Acc, 2996–3001. IEEE, 2013.
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Miao, Fei, Miroslav Pajic, and George J. Pappas. “Stochastic game approach for replay attack detection.” In Cdc, 1854–59. IEEE, 2013.
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Sarode, S., S. Radhakrishnan, V. Sampath, Z. Jiang, M. Pajic, and R. Mangharam. “Demo abstract: Model-based testing of implantable cardiac devices.” In Proceedings 2012 Ieee/Acm 3rd International Conference on Cyber Physical Systems, Iccps 2012, 221, 2012. https://doi.org/10.1109/ICCPS.2012.42.Full Text
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Pajic, M., Zhihao Jiang, Insup Lee, O. Sokolsky, and R. Mangharam. “From Verification to Implementation: A Model Translation Tool and a Pacemaker Case Study.” In Real Time and Embedded Technology and Applications Symposium (Rtas), 2012 Ieee 18th, 173–84, 2012. https://doi.org/10.1109/RTAS.2012.25.Full Text
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Jiang, Zhihao, Miroslav Pajic, Salar Moarref, Rajeev Alur, and Rahul Mangharam. “Modeling and Verification of a Dual Chamber Implantable Pacemaker.” In Proceedings of the 18th International Conference on Tools and Algorithms for the Construction and Analysis of Systems, 188–203. Springer-Verlag, 2012. https://doi.org/10.1007/978-3-642-28756-5_14.Full Text
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Pajic, Miroslav, Shreyas Sundaram, Jerome Le Ny, George J. Pappas, and Rahul Mangharam. “Closing the Loop: A Simple Distributed Method for Control over Wireless Networks.” In Proceedings of the 11th International Conference on Information Processing in Sensor Networks, 25–36. ACM, 2012. https://doi.org/10.1145/2185677.2185681.Full Text
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Pajic, M., S. Sundaram, G. J. Pappas, and R. Mangharam. “Network synthesis for dynamical system stabilization.” In Signals, Systems and Computers (Asilomar), 2011 Conference Record of the Forty Fifth Asilomar Conference On, 821–25, 2011. https://doi.org/10.1109/ACSSC.2011.6190122.Full Text
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Jiang, Z., M. Pajic, and R. Mangharam. “Demo abstract: Closed-loop testing for implantable cardiac pacemakers.” In Proceedings of the 10th Acm/Ieee International Conference on Information Processing in Sensor Networks, Ipsn’11, 119–20, 2011.
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Pajic, M., S. Sundaram, M. Aneja, S. Vemuri, R. Mangharam, and G. J. Pappas. “Architecture for a fully distributed Wireless Control Network.” In Proceedings of the 10th Acm/Ieee International Conference on Information Processing in Sensor Networks, Ipsn’11, 117–18, 2011.
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Jiang, Zhihao, M. Pajic, and R. Mangharam. “Model-Based Closed-Loop Testing of Implantable Pacemakers.” In Cyber Physical Systems (Iccps), 2011 Ieee/Acm International Conference On, 131–40, 2011. https://doi.org/10.1109/ICCPS.2011.28.Full Text
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Pajic, M., S. Sundaram, G. J. Pappas, and R. Mangharam. “Topological conditions for wireless control networks.” In Proceedings of the Ieee Conference on Decision and Control, 2353–60, 2011. https://doi.org/10.1109/CDC.2011.6161347.Full Text
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Jiang, Z., M. Pajic, A. Connolly, S. Dixit, and R. Mangharam. “Demo abstract: A platform for implantable medical device validation.” In Proceedings Wireless Health 2010, Wh’10, 208–9, 2010. https://doi.org/10.1145/1921081.1921115.Full Text
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Pajic, M., S. Sundaram, Jerome Le Ny, G. J. Pappas, and R. Mangharam. “The Wireless Control Network: Synthesis and robustness.” In Decision and Control (Cdc), 2010 49th Ieee Conference On, 7576–81, 2010. https://doi.org/10.1109/CDC.2010.5717159.Full Text
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Sundaram, S., M. Pajic, C. N. Hadjicostis, R. Mangharam, and G. J. Pappas. “The wireless control network: Monitoring for malicious behavior.” In Decision and Control (Cdc), 2010 49th Ieee Conference On, 5979–84, 2010. https://doi.org/10.1109/CDC.2010.5717166.Full Text
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Pajic, M., Z. Jiang, A. Connolly, S. Dixit, and R. Mangharam. “A platform for implantable medical device validation.” In Proceedings of the 9th Acm/Ieee International Conference on Information Processing in Sensor Networks, Ipsn ’10, 418–19, 2010. https://doi.org/10.1145/1791212.1791284.Full Text
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Pajic, M., and R. Mangharam. “Embedded Virtual Machines for Robust Wireless Control and Actuation.” In Real Time and Embedded Technology and Applications Symposium (Rtas), 2010 16th Ieee, 79–88, 2010. https://doi.org/10.1109/RTAS.2010.43.Full Text
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Arney, David, Miroslav Pajic, Julian M. Goldman, Insup Lee, Rahul Mangharam, and Oleg Sokolsky. “Toward patient safety in closed-loop medical device systems.” In Iccps, edited by Janos Sztipanovits and Raj Rajkumar, 139–48. ACM, 2010.
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Jiang, Zhihao, Miroslav Pajic, Allison Connolly, Sanjay Dixit, and Rahul Mangharam. “Real-Time Heart Model for Implantable Cardiac Device Validation and Verification.” In Ecrts, 239–48. IEEE Computer Society, 2010. https://doi.org/10.1109/ECRTS.2010.36.Full Text
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Mangharam, R., M. Pajic, and S. Sastry. “Demo abstract: Embedded virtual machines for wireless industrial automation.” In 2009 International Conference on Information Processing in Sensor Networks, Ipsn 2009, 413–14, 2009.
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Mangharam, R., and M. Pajic. “Embedded Virtual Machines for Robust Wireless Control Systems.” In Distributed Computing Systems Workshops, 2009. Icdcs Workshops ’09. 29th Ieee International Conference On, 38–43, 2009. https://doi.org/10.1109/ICDCSW.2009.31.Full Text
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Pajic, M., and R. Mangharam. “Anti-jamming for embedded wireless networks.” In Information Processing in Sensor Networks, 2009. Ipsn 2009. International Conference On, 301–12, 2009.
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Jorgovanovic, M., M. Pajic, G. Kvascev, and J. Popovic. “FPGA design of arbitrary down-sampler.” In Microelectronics, 2008. Miel 2008. 26th International Conference On, 391–94, 2008. https://doi.org/10.1109/ICMEL.2008.4559303.Full Text
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Dick, C., F. Harris, M. Pajic, and D. Vuletic. “Real-Time QRD-Based Beamforming on an FPGA Platform.” In Signals, Systems and Computers, 2006. Acssc ’06. Fortieth Asilomar Conference On, 1200–1204, 2006. https://doi.org/10.1109/ACSSC.2006.354945.Full Text
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Pajic, M., M. Tabuada, P., M. Lee, I., and M. Pappas, G.J. “Attack-Resilient State Estimation in the Presence of Noise,” 527–32, n.d.Open Access Copy
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