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Dr. Zhang received the B.Eng. degree in communication engineering from Huazhong University of Science and Technology, Wuhan, China, in 2008, the M.Eng. degree in information and communication engineering from Zhejiang University, Hangzhou, China, 2011, and the Ph.D. degree in electrical engineering from Lehigh University, Bethlehem, PA, in 2016. From 2016 to 2018, he was a Postdoctoral Research Scientist in the Department of Electrical Engineering at Columbia University in the City of New York, New York, NY. Since 2018, he has been with the Department of Electrical and Computer Engineering at Missouri University of Science and Technology in Rolla, Missouri where he is currently an assistant professor. His research interests include signal processing for cyber-physical systems, Internet of Things, sensor networks, cybersecurity, smart grid, radar, and sonar processing.
- Ph.D. in Electrical Engineering, Lehigh University, 2016
- M.Eng. in Electrical Engineering, Zhejiang University, China, 2011
- B.Eng. in Electrical Engineering, Huazhong University of Science and Technology, China, 2008
- 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,” IEEE Signal Processing Magazine, vol. 35, no. 5, pp. 50-63, Sept. 2018.
- J. Zhang, R. S. Blum, L. Kaplan, and X. Lu, “A fundamental limitation on maximum parameter dimension for accurate estimation using quantized data,” IEEE Transactions on Information Theory, vol. 64, no. 9, pp. 6180-6195, Sept. 2018.
- J. Zhang, X. Wang, R. S. Blum, and L. Kaplan, “Attack detection in sensor network target localization systems with quantized data,” IEEE Transactions on Signal Processing, vol. 66, no. 8, pp. 2070-2085, April 2018.
- J. Zhang, Z. Chen, R. S. Blum, X. Lu, and W. Xu, “Ordering for reduced transmission energy detection in sensor networks testing a shift in the mean of a Gaussian graphical model,” IEEE Transactions on Signal Processing, vol. 65, no. 8, pp. 2178-2189, April 2017.
- J. Zhang, R. S. Blum, L Kaplan, and X. Lu, “Functional forms of optimum spoofing attacks for vector parameter estimation in quantized sensor networks,” IEEE Transactions on Signal Processing, vol. 65, no. 3, pp. 705-720, Feb. 2017.
- B. Alnajjab, J. Zhang, and R. S. Blum, “Attacks on sensor network estimation systems with quantization: Performance and optimum processing,” IEEE Transactions on Signal Processing, vol. 63, no. 24, pp. 6659-6672, Dec. 2015.
- J. Zhang, R. S. Blum, X. Lu, and D. Conus, “Asymptotically optimum distributed estimation in the presence of attacks,” IEEE Transactions on Signal Processing, vol. 63, no. 5, pp. 1086-1101, March 2015.
- J. Zhang and R. S. Blum, “Asymptotically optimal truncated multivariate Gaussian hypothesis testing with application to consensus algorithms,” IEEE Transactions on Signal Processing, vol. 62, no. 2, pp. 431-442, 2014.
Conference Papers and Presentations
- J. Zhang, R. S. Blum, and L. Kaplan, “Cyber attacks on estimation sensor networks and IoTs: Impact, mitigation and implications to unattacked systems,” in International Conference on Acoustics, Speech, and Signal Processing (ICASSP), IEEE, 2017.
- Q. He, J. Zhang, A. Guruswamy, B. Alnajjab, and R. S. Blum, “New contributions to estimation theory with applications in wave energy, IEEE 1588, cybersecurity, MIMO radar and the internet of things,” in Signals, Systems and Computers, 2016 Asilomar Conference on, IEEE, 2016. (Invited Paper)
- J Zhang and R. S. Blum, “Distributed joint spoofing attack identification and estimation in sensor networks,” in Signal and Information Processing (ChinaSIP), 2015 IEEE China Summit and International Conference on, IEEE, 2015, pp. 701-705. (Invited Paper)
- J Zhang and R. S. Blum, “Distributed estimation in the presence of attacks for large scale sensor networks,” in Information Sciences and Systems (CISS), 2014 48th Annual Conference on, IEEE, 2014, pp. 1-6.
- J Zhang and R. S. Blum, “Asymptotically optimal truncated hypothesis test for a large sensor network described by a multivariate Gaussian distribution,” in Signals, Systems and Computers, 2013 Asilomar Conference on, IEEE, 2013, pp. 2012-2016.
- J Zhang, C. Wei, and R. S. Blum, “Ordering for shift-in-mean of Gauss-markov random fields with dependent observations,” in Sensor Array and Multichannel Signal Processing Workshop (SAM), 2012 IEEE 7th, IEEE, 2012, pp. 65-68.