Biography
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.
Research Interest
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
Work Details
Nanyang Technological University
School of Electrical and Electronic Engineering
Singapore
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Research Articles
- Efficacy of Alternative Insecticides against Dusky Cotton Bug (Oxycarenus laetus) to Improve Yield Losses in Cotton Crops through Residue-based Bioassay
- Federated Learning- Hope and Scope
- LC-MS and HPLC-UV for Detecting Uremic Toxins: Two Validated Methods with Simultaneous Sensitivity and Specificity Evaluation
- Screening for Sexually Transmitted Infections in Adolescents with Genitourinary Complaints: Is There a Still Role for Endocervical Gram Stains?
- Enhancing Missing Values Imputation through Transformer-Based Predictive Modeling
- The Influence of Dynamical Downscaling and Boundary Layer Selection on Egypt’s Potential Evapotranspiration using a Calibrated Version of the Hargreaves-samani Equation: RegCM4 Approach
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