简历
Zhijian Hu received the B. Eng degree in Electrical Engineering from Dalian Maritime University, Dalian, China, in 2015, the M. Eng degree in Control Engineering from Harbin Engineering University, Harbin, China, in 2017, and Ph. D. degree in Control Science and Engineering from Harbin Institute of Technology, Harbin, China, in 2022. He is currently a Research Fellow with the School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore. During September 2019 to October 2020, Dr. Hu was a Visiting Scholar with Carleton University, Ottawa, Canada. His research interests include model predictive control, fuzzy control, resilient control, and the applications in smart grids. Dr. Hu has published about 10 research papers, and 1 book chapter. He served as the Associate Editor of the 17th International Conference on Control, Automation, Robotics and Vision (ICARCV) 2022, the PC member of the 8th IEEE International Smart Cities Conference (ISC2) 2022, and the Session Chair of IFAC WC 2023 and ICPS 2023. Dr. Hu was the recipient of the Marie Skłodowska-Curie Postdoctoral Fellowship in 2023.
研究兴趣
Reinforcement Learning, Neural Network, Model Predictive Control, Robust Control/Filtering, Fuzzy Control, Distributed Control, Resilient Control, Intrusion Detection, Security Control, And The Applications In Cyber Physical Energy System.

Editor
工作详情
Nanyang Technological University
School of Electrical and Electronic Engineering
Singapore
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研究文章
- Risks and Effects of Medicinal Plants as an Adjuvant Treatment in Mental Disorders during Pregnancy
- Evaluating Digital Imaging Technologies for Anogenital Injury Documentation in Sexual Assault Cases
- Use of Augmented Reality as a Radiation-free Alternative in Pain Management Spinal Surgeries
- The Impact of Stress on Periodontal Health: A Biomarker-Based Review of Current Evidence
- On how Doping with Atoms of Gadolinium and Scandium affects the Surface Structure of Silicon
- Prevalence of Non-specific Low Back Pain Among Chinese Healthcare Workers (Surgeons and Surgical Nurses): A Multi-Center Survey Study
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