Faculty

中文       Go Back       Search
DING Kemi
Associate Professor
dingkm@sustech.edu.cn

Kemi Ding received the B.E. degree in Electronic and Information Engineering from Huazhong University of Science and Technology, Wuhan, China, in 2014 and the Ph.D. degree in the Department of Electronic and Computer Engineering from Hong Kong University of Science and Technology in 2018. From September 2018 to October 2021, she worked as a postdoctoral researcher in the School of Electrical, Computer and Energy Engineering, Arizona State University, and the School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore.
 
She is currently an assistant professor at the Department of Mechanical and Energy Engineering, Southern University of Science and Technology, and leads the lab of Learning and Mathematical Optimization in Networked Systems (LEMONS). Her research interests span the interface of control theory, game theory, signal processing and learning, with a special view towards their applications to cyber-physical system security/privacy, networked system, graph signal processing and graph neural network. Around these, she has published several papers (most of which are regular papers) in prestigious journals and leading conferences, including Automatica, IEEE TAC, IEEE TSP, IEEE TON, INFOCOM and so on.
 
Research Area
Security and privacy in Cyber-physical Systems
Networked estimation and control
Game theory in network intelligence
Graph signal processing and graph neural networks

Work Experience
◆ Dec. 2022-present,
Associate Professor, the Department of Mechanical and Energy Engineering, Southern University of Science and Technology.
◆ Dec. 2021-Dec. 2022,
Assistant Professor, the Department of Mechanical and Energy Engineering, Southern University of Science and Technology.
◆ Aug.2019-Oct. 2021
Research Fellow, School of Electrical & Electronic Engineering, Nanyang Technological University, Singapore.
◆Sep. 2018-Aug. 2019
Postdoctoral Researcher, School of Electrical, Computer and Energy Engineering, Arizona State University, USA.
 
Education
◆ Aug. 2014 - Aug. 2018
Ph.D., Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology (HKUST), Hong Kong, China.
◆ Sep. 2016 – Jan. 2017
Visiting student, School of Engineering & Applied Sciences (SEAS), Harvard University, USA.
◆ Sep. 2010 – Jul.2014
B.S., School of Electronic Information and Communications, Advanced Class, Huazhong University of Science and Technology (HUST), China.

Representative Papers
◆ K. Ding, X. Ren*, H. Qi, G.Shi, X. Wang, L. Shi.“Interference Game for Intelligent Sensors in Cyber–Physical Systems.”Automatica, 2021, 129(109668). (Regular paper)
◆ Y. Wu, K. Ding*, Y. Li, L. Shi. “Optimal Unbiased Linear Sensor Fusion over Multiple Lossy Channels with Collective Observability.” Automatica, 2021, 128(109568).
◆ K. Ding*, J. Wu, L. Xie. “Minimum-degree Distributed Graph Filter Design.”IEEE Transactions on Signal Processing, 2021, 69: 1083-1096. (Regular paper)
◆ L. Huang, K. Ding*, A. S. Leong, D. E. Quevedo, L. Shi. “Encryption Schedules for Remote State Estimation Under an Operation Constraint.” Automatica, 2021, 127(109537).
◆ K. Ding*, J. Zhang. “Multi-party Privacy Conflict Management in Online Social Network: A Network Game Perspective.” IEEE/ACM Transactions on Networking, vol. 28, no. 6, pp. 2685-2698, 2020. (Regular paper)
◆ S. Wu, K. Ding*, P. Cheng, L. Shi. “Optimal Scheduling of Multiple Sensors over Lossy and Bandwidth Limited Channels.” IEEE Transactions on Control of Network Systems, 2020, 7(3): 1188-1200. (Regular paper)
◆ K. Ding, X. Ren*, A. S. Leong, D. E. Quevedo, L. Shi. “Remote State Estimation in the Presence of an Active Eavesdropper.” IEEE Transactions on Automatic Control, 2021, 66(1): 229-244. (Full paper)
◆ K. Ding, X. Ren*, D. E. Quevedo, S. Dey, L. Shi. “Defensive Deception Against Reactive Jamming Attacks in Remote State Estimation.” Automatica, 113:108680, 2020. (Regular paper) 
◆ K. Ding, X. Ren*, D. E. Quevedo, S. Dey, L. Shi. “DoS Attacks on Remote State Estimation with Asymmetric Information.” IEEE Transactions on Control of Network Systems, vol. 6, no. 2, pp. 653-666, 2018. (Regular paper)
◆ K. Ding, S. Dey, D. E. Quevedo, L. Shi*. “Stochastic Game in Remote Estimation Under DoS Attacks.” IEEE Control Systems Letters, vol.1, no. 1, pp. 146-151, 2017.
◆ K. Ding, Y. Li*, D. E. Quevedo, S. Dey, L. Shi. “A Multi-channel Transmission Schedule for Remote State Estimation Under DoS Attacks.” Automatica, vol. 78, pp. 194-201, 2017.