Dr. Zhang received the Ph.D. degree in electrical engineering from Lehigh University, Bethlehem, PA, USA, in 2016. From 2016 to 2018, he was a Post-Doctoral Research Scientist with the Department of Electrical Engineering, Columbia University, New York, NY, USA. Since 2018, he has been with the Department of Electrical and Computer Engineering, Missouri University of Science and Technology, Rolla, MO, USA, where he is currently an Assistant Professor. His research interests include signal processing, machine learning, and their applications to cybersecurity, cyber-physical systems, the Internet of Things, smart grids, and blockchain.

Selected Publications

• J. Zhang, R. S. Blum and H. V. Poor, "Approaches to Secure Inference in the Internet of Things: Performance Bounds, Algorithms, and Effective Attacks on IoT Sensor Networks," in IEEE Signal Processing Magazine, vol. 35, no. 5, pp. 50-63, Sept. 2018, doi: 10.1109/MSP.2018.2842261.
• Y. Jiang and J. Zhang, "Distributed Detection Over Blockchain-Aided Internet of Things in the Presence of Attacks," in IEEE Transactions on Information Forensics and Security, vol. 18, pp. 3445-3460, 2023, doi: 10.1109/TIFS.2023.3279984.
• J. Zhang and X. Wang, "Low-Complexity Quickest Change Detection in Linear Systems With Unknown Time-Varying Pre- and Post-Change Distributions," in IEEE Transactions on Information Theory, vol. 67, no. 3, pp. 1804-1824, March 2021, doi: 10.1109/TIT.2021.3049468.
• J. Zhang and X. Wang, "Consensus-Based Distributed Quickest Detection of Attacks With Unknown Parameters," in IEEE Transactions on Information Theory, vol. 67, no. 3, pp. 1864-1885, March 2021, doi: 10.1109/TIT.2020.3047353.
• J. Zhang, R. S. Blum, L. M. Kaplan and X. Lu, "Functional Forms of Optimum Spoofing Attacks for Vector Parameter Estimation in Quantized Sensor Networks," in IEEE Transactions on Signal Processing, vol. 65, no. 3, pp. 705-720, 1 Feb.1, 2017, doi: 10.1109/TSP.2016.2626258.