Chao REN


Chao REN (任超)

Wallenberg-NTU Presidential Postdoctoral Fellow (Principal Investigator)
Trustworthy Federated Ubiquitous Learning Research Lab (AI Singapore-TrustFUL)
School of Electrical and Electronic Engineering (EEE)
Nanyang Technological University, Singapore
School of Electrical Engineering and Computer Science (EECS)
KTH Royal Institute of Technology, Sweden

Doctor of Philosophy
Sustainable Earth - Energy Research Institute @ NTU (ERI@N)
Interdisciplinary Graduate School
Nanyang Technological University, Singapore

Office: S2.2-B2-37
E-mail: chao.ren@ntu.edu.sg
[Google Scholar] [ResearchGate]


Research Topic

AIOT, Big Data Analysis, Federated Learning, Large-Scale System Security and Stability Assessment, Robustness Verification, Machine Learning, Quantum Computing.


Brief Biography

Received the B.E. degree from the School of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China, in Jul. 2017. Received the Ph.D. degree in Feb. 2022, supervised by Assoc Prof. Yan Xu (EEE, NTU), Assoc Prof. Arijit Khan (Aalborg University, Denmark), and Assoc Prof. Teoh Eam Khwang from the Interdisciplinary Graduate School, Nanyang Technological University, Singapore. Currently, I am Research Fellow in School of Computer Science and Engineering, and conduct postdoctoral research with Wallenberg-NTU Presidential Postdoctoral Fellowship at Nanyang Technological University, Singapore. My current supervisors are Prof. Zhao Yang Dong (IEEE Fellow in NTU), Prof. Mikael Skoglund (IEEE Fellow in KTH), Nanyang Asst Prof. Han Yu (NAP in NTU), and Prof. Dusit Niyato (IEEE Fellow in NTU).


Latest News

  • [Feb. 2024] One paper was accepted by IEEE Transactions on Power Systems.

  • [Jan. 2024] One paper was accepted by IEEE International Conference on Communications (ICC) 2024.

  • [Jan. 2024] Severd as Special Session Organizer for ICIEA 2024.

  • [Dec. 2023] Severd as PC member for IJCAI 2024.

  • [Dec. 2023] Invited talks in Hunan University and Southeast University.

  • [Oct. 2023] One paper was accepted by IEEE/CAA Journal of Automatica Sinica.

  • [Sep. 2023] One paper was accepted by IEEE Internet of Things Journal.

  • [Sep. 2023] One paper was accepted by IET Energy Systems Integration.

  • [Sep. 2023] Invited to serve as an expert reviewer for FL@FM-NeurIPS’23.

  • [Sep. 2023] Invited to serve as an expert reviewer for AAMAS 2024.

  • [Aug. 2023] One paper was accepted by IEEE Internet of Things Journal.

  • [Aug. 2023] Severd as Special Session Organizer for ECCE Asia 2024.

  • [Jun. 2023] One paper was accepted by IEEE Journal on Emerging and Selected Topics in Circuits and Systems.

  • [Sep. 2023] Invited to serve as an expert reviewer for FL-ICML’23.

  • [May. 2023] Our latest survey paper about "Towards Quantum Federated Learning" was released in Arix 2306.09912.

  • [Apr. 2023] One paper was accepted by CSEE Journal of Power and Energy Systems.

  • [Feb. 2023] Invited to serve as an expert reviewer for ICME 2023.


Education

  • Period: Aug. 2017 – Feb. 2022, Singapore

    Submitted thesis in July 2021, defended in Feb 2022, received degree in Feb. 2022.

    Winnner of Graduate College Research Excellence Award by NTU (Only 1 Graduated Ph.D. in NTU in the Academic Year 2021)

    Nanyang Technological University, Singapore (NTU)

    Ph.D., Interdisciplinary Graduate Programme, across School of Computer Science Engineering and School of Electrical and Electronic Engineering

    Supervisor: Prof. Yan Xu (EEE, NTU), Co-Supervisor: Prof. Arijit Khan (Aalborg University, Denmark), Mentor: Prof. Teoh Eam Khwang (EEE, NTU), Chair: Prof. Dusit Niyato (SCSE, NTU)

    Thesis Title: Advanced Big-Data Analytics for Future Smart Grid Security Assessment


  • Period: Sep. 2013 – Jun. 2017, Nanjing, China

    Outstanding Graduate Award by NUAA

    Nanjing University of Aeronautics and Astronautics (NUAA)

    Bachelor of Engineering, School of Computer Science and Technology

    Supervisor: Prof. Ran Wang (CS), Co-Supervisor: Prof. Kun Zhu (CS), Prof. Qiang Xie (CS)

    Concentration on Data Analytics, Robust Optimization, and System Engineering

    Thesis Title: Robust Optimization for Performance Boundary Analysis of Microgrid Energy Dispatching Strategy


Working Experience

  • Period: Jan. 2024 – Future
    Wallenberg-NTU Presidential Postdoctoral Fellow (Principal Investigator), KTH Royal Institute of Technology, Sweden

    My own grant “Modern Smart Grid Stability Assessment Using Advanced Big Data-Analytics Techniques” for Wallenberg AI, Autonomous Systems and Software Program (WASP) research partner institution with KTH in Sweden, cooperating with Prof. Mikael Skoglund (IEEE Fellow in KTH) and Prof. Zhao Yang Dong (IEEE Fellow in NTU).

  • Period: Jan. 2023 – Dec. 2023
    Wallenberg-NTU Presidential Postdoctoral Fellow (Principal Investigator), Nanyang Technological University, Singapore

    My own grant “Modern Smart Grid Stability Assessment Using Advanced Big Data-Analytics Techniques” for NTU in Singapore, cooperating with Prof. Zhao Yang Dong (IEEE Fellow in NTU), Nanyang Asst. Prof. Han Yu (NAP in NTU), and Prof. Dusit Niyato (IEEE Fellow in NTU).

  • Period: July. 2022 – Dec. 2022
    Research Fellow in Trustworthy Federated Ubiquitous Learning Research Lab (AI Singapore-TrustFUL), Singapore

    Work for AISG project under Prof. Han Yu and Prof. Dusit Niyato in NTU.

  • Period: Jan. 2022 – Jun. 2022
    Student Assistant in Trustworthy Federated Ubiquitous Learning Research Lab (AI Singapore-TrustFUL), Singapore

    Work for AISG project under Prof. Han Yu and Prof. Dusit Niyato in NTU.

  • Period: Sep. 2021 – Dec. 2021
    Student Assistant in Singapore Power Group-NTU Joint Lab (SP Group-NTU Joint Lab), Singapore

    Work for SP project under Prof. Yan Xu in NTU.

  • Period: Jan. 2021 – Sep. 2021
    Student Assistant in Singtel Cognitive and Artificial Intelligence Lab (SCALE@NTU), Singapore

    Work for Singtel project under Prof. Yan Xu in NTU.

  • Period: Jan. 2018 – Oct. 2018, Singapore
    Student Assistant in Energy Research Institute @ NTU (ERI@N)

    Work for ERI@N project under Prof. Yan Xu in NTU.


Current Grant

  • “Advanced Modern Smart Grid Stability Assessment with Big Data-Analytics Techniques”, by Wallenberg AI, Autonomous Systems and Software Program (WASP) research partner institution with KTH in Sweden [Principal Investigator] - (SEK 300,000)

  • “Modern Smart Grid Stability Assessment Using Advanced Big Data-Analytics Techniques”, by Nanyang Technological University, Singapore (NTU) [Principal Investigator] - (S$ 100,000)