Fanxin Kong

Assistant Professor, Department of Electrical Engineering and Computer Science, Syracuse University

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.

Applications: autonomous systems, electric vehicles, power systems, and data centers.

Email: fkong03 at syr dot edu

Other profiles: Google Scholar, dblp Entry

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.

[Apr. 2020], Service: I am serving as TPC for the 41th IEEE Real-Time Systems Symposium (RTSS 2020). Please consider to submit your best work!!!

[Mar. 2020], Article: "What is Cyber-Physical Checkpointing and Recovery?" is published by SIGDA Newsletter.

[Feb. 2020], Paper: our paper on anomaly state detection for autonomous systems is accepted by DAC 2020. Congratulations to Tianjia!

[Dec. 2019], Paper: our paper on applying cyber-physical checkpointing and recovery to power systems is accepted by IEEE Texas Power and Energy Conference (TPEC 2020).

[Sep. 2019], Paper: one paper is accepted by the 40th IEEE Real-Time Systems Symposium (RTSS 2019).

[Jun. 2019], Presentation: "Cyber-Physical System Checkpointing and Recovery", at CEDA Workshop on CAD for Safe and Secure Electronic System Design, held in conjunction with 56th Design Automation Conference (DAC 2019).

[Feb. 2019], Presentation: "State Consistencies for Cyber-Physical System Recovery", at the 2nd Workshop on Cyber-Physical Systems Security and Resilience (CPS-SR 2019), held in conjunction with Cyber-Physical Systems and Internet-of-Things Week (CPS-IoT Week 2019).


Peer-reviewed conference papers

  1. [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.
  2. [TPEC'20] Rui Ma, Sagnik Basumallik, Sara Eftekharnejad, and Fanxin Kong, "Recovery-based Model Predictive Control for Cascade Mitigation under Cyber-Physical Attacks", in IEEE Texas Power and Energy Conference, 2020.
  3. [RTSS'19 (CPS Track)] Gaoqi He, Zhifu Chai, Xingjian Lu, Fanxin Kong, and Bing Sheng, "ADMM-Based Decentralized Electric Vehicle Charging with Trip Duration Limits", in the 40th IEEE Real-Time Systems Symposium, 2019.
  4. [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.
  5. [IoTDI'18] Fanxin Kong, Xue Liu, and Insup Lee, "Joint Rate Control and Demand Balancing for Electric Vehicle Charging", in the 3rd ACM/IEEE International Conference on Internet-of-Things Design and Implementation, 2018.
  6. [ICCPS'16] Fanxin Kong and Xue Liu, "GreenPlanning: Optimal Energy Source Selection and Capacity Planning for Green Datacenters", in the 7th ACM/IEEE International Conference on Cyber-Physical Systems, 2016.
  7. [ICCPS'16] Fanxin Kong, Xue Liu, Zhonghao Sun, and Qinglong Wang, "Smart Rate Control and Demand Balancing for Electric Vehicle Charging", in the 7th ACM/IEEE International Conference on Cyber-Physical Systems, 2016.
  8. [RTSS'16 (CPS Track)] Fanxin Kong, Qiao Xiang, Linghe Kong, and Xue Liu, "On-Line Event-Driven Scheduling for Electric Vehicle Charging via Park-and-Charge", in the 36th IEEE Real-Time Systems Symposium, 2016.
  9. [RTSS'15 (CPS Track)] Fanxin Kong and Xue Liu, "Distributed Deadline and Renewable Aware Electric Vehicle Demand Response in the Smart Grid", in the 36th IEEE Real-Time Systems Symposium, 2015.
  10. [RTAS'15] Nima Khalilzad, Fanxin Kong, Xue Liu, Moris Behnam and Thomas Nolte, "A Feedback Scheduling Framework for Component-Based Soft Real-Time Systems", in the 21st IEEE Real-Time and Embedded Technology and Applications Symposium, 2015.
  11. [ACM e-Energy'15] Qiao Xiang, Fanxin Kong, Xi Chen, Linghe Kong, Xue Liu and Lei Rao, "Auc2Charge: An Online Auction Framework for Electric Vehicle Park-and-Charge", in the 6th ACM International Conference on Future Energy Systems, 2015.

Books

  1. [FnTEES'17] Fanxin Kong and Xue Liu, "Sustainable Transportation with Electric Vehicles", in Foundations and TrendsR in Electric Energy Systems, now publishers Inc., 2017.
  2. [FnTEDA'15] Xue Liu and Fanxin Kong, "Datacenter Power Management in Smart Grids", in Foundations and TrendsR in Electronic Design Automation, now publishers Inc., 2015.
  3. [FnTEDA'15] Xue Liu, Xi Chen and Fanxin Kong, "Utilization Control and Optimization of Real-Time Embedded Systems", in Foundations and TrendsR in Electronic Design Automation, now publishers Inc., 2015.

Peer-reviewed journal papers

  1. [TSUSC'19] Huiting Xu, Xi Jin, Fanxin Kong, and Qingxu Deng, "Two Level Colocation Demand Response with Renewable Energy", in IEEE Transactions on Sustainable Computing, 2019.
  2. [COMST'18] Xiong Wang, Linghe Kong, Fanxin Kong, Fudong Qiu, Mingyu Xia, Shlomi Arnon, and Guihai Chen, "Millimeter Wave Communication: A Comprehensive Survey”, in IEEE Communications Surveys and Tutorial, 2018.
  3. [TCC'17] Xingjian Lu, Fanxin Kong, Xue Liu, Jianwei Yin, Qiao Xiang, and Huiqun Yu, "Bulk Savings for Bulk Transfers: Minimizing the Energy-Cost for Geo-Distributed Data Centers", in IEEE Transactions on Cloud Computing, 2017.
  4. [TSUSC'17] Fanxin Kong, Xingjian Lu, and Xue Liu, "Distributed Data Center Bandwidth Allocation for Cloud-Based Streaming", in IEEE Transactions on Sustainable Computing, 2017.
  5. [TIE'17] Xi Jin, Fanxin Kong, Linghe Kong, Wei Liu, and Peng Zeng, "Reliability and Temporality Optimization for Multiple Coexisting WirelessHART Networks in Industrial Environments", in IEEE Transactions on Industrial Electronics, 2017.
  6. [COMST'16] Qinglong Wang, Xue Liu, Jian Du, and Fanxin Kong, "Smart Charging for Electric Vehicles: A Survey From the Algorithmic Perspective", in IEEE Communications Surveys and Tutorials, 2016.

Revised on April 30, 2020.