Biography
Dr. Ruihang Ji is now a Research Manager at the Department of Electrical and Computer Engineering (ECE) and Institute for Functional Intelligent Materials (I-FIM), National University of Singapore (NUS), Singapore. Prior to joining NUS, he received the Ph.D. degree and B.E. degree from Control Science and Engineering, Harbin Institute of Technology, China, in 2021 and 2016, respectively. He was a visiting scholar at ECE, NUS, 2019-2021.
Dr Ji has authored 1 book and published over 40 international journal and conference papers; and granted 5 patents. He was the recipient of many award including AI Grand Challenge Award from AISG, First Prize in the International Aerial Robotics Competition (IARC) in 2015 and 2016, Third Prize in America Mathematical Context in Modeling in 2015, National Scholarship for Doctoral Students in 2019, Excellent Graduate Student and National Key Thesis Project in 2016.
Dr Ji has been serving as Associate Editor for Network: Computation in Neural Systems, and Journal of Automation and Intelligence. He serves as the Session Chair of Joint International Conference on Automation-Intelligence-System-Safety & International Symposium on Autonomous Systems (ISAS), 2024, the 14th Asian Control Conference (ASCC), 2024, the 6th International Symposium on Autonomous Systems (ISAS), 2023, and the 13th Asian Control Conference (ASCC), 2022. Dr. Ji is a member of IEEE, and CAA. His research interests include Adaptive Control, Constrained Control, Robotics, Cyber Security, Multi-agent Systems, etc.
Research Interest
Robotics, Adaptive Control, Constrained Control, Cyber Security, Multi-agent Systems, etc.
 
                                Editor
Work Details
Research Manager
National University of Singapore
Department of Electrical and Computer Engineering
Singapore
Contribution by Topic Area
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Research Articles
- Enhancing Missing Values Imputation through Transformer-Based Predictive Modeling
- Enhancing Material Property Predictions through Optimized KNN Imputation and Deep Neural Network Modeling
- Deep Learning-based Multi-class Three-dimensional (3-D) Object Classification using Phase-only Digital Holographic Information
- Abrasive Wear in Some High Fe-Cr-C Alloy in Cement Powder
- A Comprehensive Methodology for Assessing the Business Reputation of Industrial and Production Personnel
- Synergistic Assessment of Supplementation of Ascorbic Acid and Massularia acuminata Extracts on Serum Electrolyte and Lipid Profile Indices of Dyslipidemia in Adult Wistar Rats Exposed to Aluminum Chloride Toxicity
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