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

Other profiles: Google Scholar, dblp Entry

Short Bio

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.

[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.

[Aug. 2021], Paper: our paper "Towards Scalable, Secure, and Smart Mission-Critical IoT Systems: Review and Vision" will appear at EMSOFT 2021, part of ESWEEK 2021.

[July 2021], Paper: our paper "Real-Time Attack-Recovery for Cyber-Physical Systems using Linear-Quadratic Regulator" is accepted to EMSOFT 2021, part of ESWEEK 2021. Congratulations to Lin and all!

[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!

Attack Recovery:

  1. [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.

  2. [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.

  3. [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.

Attack Detection:

  1. [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.

  2. [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.

Intelligent CPS:

  1. [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.

  2. [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.