バイオグラフィー
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.
研究の興味
Robotics, Adaptive Control, Constrained Control, Cyber Security, Multi-agent Systems, etc.

Editor
仕事内容
Research Manager
National University of Singapore
Department of Electrical and Computer Engineering
Singapore
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研究論文
- Contribution to the Knowledge of Ground Beetles (Coleoptera: Carabidae) from Pakistan
- Efficacy of Different Concentrations of Insect Growth Regulators (IGRs) on Maize Stem Borer Infestation
- The Influence of Low Pesticide Doses on Fusarium Molds
- Cyber Threat Analysis (CTA) in Current Conflicts
- Improved Energy Valley Optimizer with Levy Flight for Optimization Problems
- A Machine Learning-based Method for COVID-19 and Pneumonia Detection
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