
Dr. WU Zhe
Assistant Professor (2021 – Present),
Department of Chemical and Biomolecular Engineering, NUS Artificial Intelligence Institute
Ph.D. in Chemical Engineering, University of California, Los Angeles
B.S. in Control Science and Engineering, Zhejiang University
Email: wuzhe@nus.edu.sg
Awards and Honors:
- Outstanding Early Career Award, NUS CDE, 2024
- Outstanding Young Faculty Award, AIChE SLS, 2024
- Stanford/Elsevier Top 2% Scientists List, 2024, 2025
- Highly Ranked Scholar in the Speciality of Machine Learning, ScholarGPS, 2024
- Best Paper Award, Mathematics, 2019, 2021
- Top Reviewer Award, Chemical Engineering Research & Design, 2020-2025
- Top Reviewer Award, Digital Chemical Engineering, 2021
- Outstanding PhD in Chemical Engineering Award, UCLA, 2020
- Dissertation Year Fellowship, UCLA, 2020
- CAST Director’s Student Presentation Award Finalists, AIChE, 2019
Professional Appointments:
- Editorial Board, Digital Chemical Engineering
- Early Career Advisory Board, Control Engineering Practice
- Early Career Advisory Board, ACS Chem & Bio Engineering
- Co-Chair of “10B: Advances in Process Control” sessions for AIChE Annual Meeting, 2025
- Chair of “Data-driven Modeling, Estimation and Optimization for Control” and “Advances in Machine Learning and Intelligent Systems” sessions for AIChE Annual Meeting, 2024
- Co-chair of “Data science and analytics for process applications” and “Data-driven Optimization” sessions for AIChE Meeting, 2024
- Associate Editor, American Control Conference, 2024, 2025
- Co-chair of “Advances in Process Control II” session for AIChE Annual Meeting, 2023
- Co-chair of “Machine Learning and Data Analytics in Process Control” session for the IFAC World Congress, 2023
- Chair of “Energy Systems” session for the 7th International Symposium on Advanced Control of Industrial Processes, 2022
- Chair of “Model Predictive Control” session for the IFAC Symposium on Dynamics and Control of Process Systems, 2022
- Guest co-editor for Special Issue “Role of Intelligent Control Systems in Industry 5.0”, Processes, 2022
- Guest editor for Special Issue “Machine Learning in Model Predictive Control and Optimal Control ,” Processes, 2022
- Guest co-editor for Special Issue “Autonomy, Safety, and Security for Cyber-Physical Systems in the Process Industries ,” Digital Chemical Engineering, 2022
- Chair of Workshop on “Digital Twin and Edge Computing for Cyber Physical System: Communication, Modeling, and Learning” for the 8th IEEE International Conference on Smart Data, 2022
- Guest editor for Special Issue “Advances in Intelligent Autonomous Control: Methods and Applications”, Frontiers in Control Engineering, 2022
Postdoctoral Researchers
Research Fellow (August 2024-present), National University of Singapore (NUS)
Ph.D. in Control Science and Engineering (2024), Zhejiang University
Research areas: Model predictive control, Machine-learning-based control, and their applications
KONG, Xiangyin
Graduate Students

XIAO, Ming (Ph.D. Candidate)
Ph.D. (2022 – present)
M.Eng in Control Science and Engineering (2019 – 2022), Zhejiang University
B.Eng in Automation (2015 – 2019), Northeastern University

WU, Guoquan (Ph.D. Candidate)
Ph.D. (2022 – present)
MSC (2021) in Chemical Engineering, Imperial College London
WANG, Wenlong (Ph.D. Candidate)
Ph.D. (2023 – Present)
MSc (2020-2023), Dalian University of Technology
B.S. (2016~2020), Dalian University of Technology
WU, Wanlu
Ph.D. (2023 – Present)
B.S. (2019~2023), National University of Singapore
JI, Yuxiao
Ph.D. (2024 – Present)
B.S. (2020~2024), Zhejiang University
Ph.D. (2025 – Present)
M.S. (2022~2025), Shanghai Jiaotong University
B.S. (2018~2022), Xi’an Jiaotong University
Calvin Khoo Wei En
Ph.D. (2025 – Present)
B.Eng. (2022 ~ 2025), National University of Singapore
Keerthana Vellayappan
Research Engineer (2023 – Present), National University of Singapore (NUS)
M. Eng (2021-2023), National University of Singapore
B.S. (2016~2020), National Institute of Technology, Warangal
ZHU, Xinji
Research Engineer (2024 – Present), National University of Singapore (NUS)
MSc (2022-2023), National University of Singapore
B.S. (2018~2022), National University of Singapore
M.Eng. (2023–2025) in Biomedical and Biological Engineering, McGill University
B.A.Sc. (2018–2023) in Advanced Manufacturing Engineering, University of British Columbia
M.Sc. (2024–2025) in Digital Manufacturing of Advanced Materials, University College London
B.S. Chemistry and B.Eng. Chemical Engineering (2016 – 2021), University of Minnesota – Twin Cities
Yilian Dhirayuvati Chen
M.Eng. (2023 – Present), Co-advised by Prof. Yan Ning, NUS
B.Eng. (2018~2022), National University of Singapore
LI, Yifei; NIE Changjiang (CN5550 project)
MSc (2025 – present), National University of Singapore (NUS)
LIN, Juli; XIAO, Zhicheng; ZHOU, Can; WANG, Qirui (CN5555 project)
MSc (2025 – present), National University of Singapore (NUS)
Visiting Students
- HUANG, Xin (PhD student, Jiangnan University, 2025)
- GUO, Mengmeng (PhD student, Southeast University, 2025-2026)
Undergraduate Students
- Alumni: Foo Ping (FYP, 2024), Tan Ren Jie (FYP, 2024), YE Haonan, WU Yifei, Rezwan Ahmed, Jordan Foo Bao Luo, Le Nguyen Quang Dang Khoa, Wang Qirui, Wang Boyuan, Shirinli Nariman
Alumni
Ph.D. Students
- Zhiyuan Wang (PhD, 2023, Co-advised by Prof. G. P. Rangaiah; Lecturer, DigiPen Institute of Technology Singapore)
- Tianyi Zhao (PhD, 2025, Co-advised by Prof. Gong Jinlong, Tianjin University)
Research staff
- Pravin P S (Research Fellow, 2021 – 2022; Assistant Professor at Electronics & Instrumentation Engineering Department, National Institute of Technology Silchar, India)
- Cheng Hu (Research Fellow, 2022 – 2023; Assistant Professor, Shanghai University, China)
- Tan Zhi Ming, Jaswin (Research Engineer, M.Eng, 2021 – 2022; process engineer in Micron Semiconductor Asia Pte Ltd)
- Yingzhe Zheng (Research Engineer, 2021 – 2022; master student in Chemical Engineering with full scholarship, MIT, 2022-2023; Machine learning engineer, ByteDance, Singapore, 2024)
- Tan Gian Yion, Wallace (Research Engineer, 2022 – 2023; PhD student in Chemical Engineering, MIT, 2023)
- Zihao Wang (Research Engineer, 2023 – 2024; PhD student in School of Medicine, NTU, 2024)
- Zeyuan Xu (Research Fellow, 2022 – 2024)
- Donghan Yu (Research Engineer, 2024-2025)
- Yujia Wang (Research Fellow, 2022-2025; Assistant Professor, Northwestern Polytechnical University)
M.S. Students
- Ziang Wang (MSc student, 2022-2023; process engineer in China Shipbuilding Industry Corporation)
- Jiahao Cui (MSc student, 2023-2024)
- Yiming Lang (MSc student, 2023-2024; process engineer in Leadmicro, Jiangsu, China)
- Haonan Ye (MSc student, 2024-2025; machine learning engineer in Tencent, China)
- Tianle Huang (MSc student, 2024-2025)
- Yuchen Qu (MSc student, 2024-2025)
- Zhiqi Tian (MSc student, 2024-2025)
- Elita Kabayeva (MSc student, 2024-2025)
- Ruochong Zhang (MSc student, 2024-2025)
- Changling Feng (MSc student, 2024-2025)
- Max Lee King Jin (M.Eng student, 2024-2025)
Visiting students/researchers
- Cui Wang (Visiting PhD, 2022-2023; Ph.D., Xi’an Jiaotong University, Assistant Professor, Chang’an University, China)
- Wenqi Wu (Visiting PhD, 2022-2023; Ph.D. student at China University of Mining and Technology)
- Zhongxin Fan (Visiting PhD, 2023; Ph.D. student at Southeast University)
- CHEN, Zhuo (Visiting PhD, 2023-2024; PhD student, Southeast University)
- ZHANG, Haohao (Visiting PhD, 2023-2024; PhD student, Chinese Academy of Sciences)
- WU, Jie (Visiting PhD, 2023-2024; PhD student, Jiangnan University)
- WANG, Yian (Visiting PhD, 2023-2024; PhD student, Zhejiang University)
- QIAN, Cheng (Visiting PhD student 2025, PhD student, Southeast University)
- LIU, Jianan (Visiting PhD student 2024-2025, PhD student, Southeast University)
- Karl Ezra Pilario (Visiting Professor 2024-2025; Associate Professor, University of the Philippines Diliman)
- LIU, Dongqing (Visiting PhD student 2025; PhD student, Southeast University, 2024-2025)











