Dr. Fanxin Kong
Interests: Cyber-Physical Systems. (i) Security: attack detection and real-time recovery. (ii) Real-time and energy-efficiency: resource management, workload scheduling, and mechanism design. (iii) Intelligent CPS: trajectory planning and task allocation.
Applications: autonomous systems/vehicles, electric vehicles, and data centers.
Email: fkong03 at syr dot edu
Dr. Fanxin Kong is a tenure-track assistant professor in the Department of Electrical Engineering and Computer Science at Syracuse University. Before that, he worked with Prof. Insup Lee as a postdoctoral researcher in the PRECISE Center at University of Pennsylvania. He obtained his Ph.D. in Computer Science at McGill University under the supervision of Prof. Xue Liu.
New! I am looking for self-motivated PhD students. Visiting students and scholars are all welcome. If you are interested in my research and working with me, please directly contact me with your CV.
Recent News (More)
[Oct. 2021], Paper: our paper "Applying Machine Learning in Designing Distributed Auction for Multi-agent Task Allocation with Budget Constraints" is accepted by the 20th International Conference on Advanced Robotics (ICAR), 2021.
[June 2021], Job: Francis will join the CSE department at South Dakota School of Mines and Technology, as a tenure-track assistant professor. Congratulations!
[May 2021], Paper: our paper "Recovery-by-Learning: Restoring Autonomous Cyber-physical Systems from Sensor Attacks", has been accepted by The 27th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA), 2021. Congratulations to Francis and all!
[May 2021], Defense: Francis passed his PhD dissertation defense. Congratulations to Dr. Akowuah!
[Apr. 2021], Paper: our paper "Antenna Pattern Aware UAV Trajectory Planning Using Artificial Potential Field", has been accepted for lecture presentation at the 2021 IEEE/AIAA 40th Digital Avionics Systems Conference (DASC). Congratulations to Hani.
[Mar. 2021], Paper: our work on anomaly sensor detection using hyperdimensional computing is accepted to the Brief Industry Paper Track of RTAS 2021.
[Mar. 2021], Award: our work on Real-Time Adaptive Sensor Attack Detection has won the second prize in 2021 ECS Research Day (13/73). Congratulations to Francis! [link]
[Mar. 2021], Paper: our survey paper on sensor attack detection in autonomous vehicles is accepted to the 4th International Conference on Connected and Autonomous Driving (MetroCAD 2021). Congratulations to Francis!
[Jan. 2021], Paper: our paper "Real-Time Adaptive Sensor Attack Detection in Autonomous Cyber-Physical Systems" is accepted to 27th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS), part of the CPS-IOT Week 2021. Congratulations to Francis!
[Jan. 2021], Paper: our paper "A Data-driven Model Predictive Control for Alleviating Thermal Overloads in Presence of Possible False Data " is accepted to IEEE Transactions on Industry Applications.
[Nov. 2020], Award: our work on Real-Time Recovery for Autonomous Cyber-Physical Systems has won the Overall College Poster Prize in 2020 ECS Research Day (1/73). Congratulations to Lin! [link]
[Oct. 2020], Paper: our paper on real-time recovery for cyber-physical systems is accepted to RTSS 2020. This work is the first of its kind in recovering CPS in real-time after an attack is detected. Congratulations to Lin and all!
Recent Publications (Full Publications)
[EMSOFT'21] Lin Zhang, Pengyuan Lu, Fanxin Kong, Xin Chen, Oleg Sokolsky and Insup Lee, "Real-Time Attack-Recovery for Cyber-Physical Systems using Linear-Quadratic Regulator", in the 21st ACM SIGBED International Conference on Embedded Software, 2021.
[RTSS'20] Lin Zhang, Xin Chen, Fanxin Kong, and Alvaro A. Cardenas, "Real-Time Recovery for Cyber-Physical Systems using Linear Approximations", in the 41st IEEE Real-Time Systems Symposium, 2020.
[ICCPS'18] Fanxin Kong, Meng Xu, James Weimer, Oleg Sokolsky, and Insup Lee, "Cyber-Physical System Checkpointing and Recovery", in the 9th ACM/IEEE International Conference on Cyber-Physical Systems, 2018.
[RTAS'21] Francis Akowuah and Fanxin Kong, "Real-Time Adaptive Sensor Attack Detection in Autonomous Cyber-Physical Systems", in 27th IEEE Real-Time and Embedded Technology and Applications Symposium, 2021.
[DAC'20] Tianjia He, Lin Zhang, Fanxin Kong, and Asif Salekin, "Exploring Inherent Sensor Redundancy for Automotive Anomaly Detection", in 57th Design Automation Conference, 2020.
[ICAR'21] Chen Luo, Qinwei Huang, Fanxin Kong, Simon Khan, Qinru Qiu, "Applying Machine Learning in Designing Distributed Auction for Multi-agent Task Allocation with Budget Constraints", in the 20th International Conference on Advanced Robotics, 2021.
[DASC'21] Mohamad Hani Sulieman, M Cenk Gursoy and Fanxin Kong, "Antenna Pattern Aware UAV Trajectory Planning Using Artificial Potential Field", in the IEEE/AIAA 40th Digital Avionics Systems Conference, 2021.