Prof. Wee-Liat Ong is an Associate Professor at ZJUI. He graduated with a B.Eng in Mechanical Engineering from the National University of Singapore (NUS) and was the valedictorian of his class and recipient of the IES gold medal and Lee Kuan Yew gold medal in 2002. In 2015, he received his Ph.D. in Mechanical Engineering at Carnegie Mellon University under Prof. Jonathan Malen and Prof. Alan McGaughey. Before becoming a faculty at ZJUI, he was a joint post-doctoral fellow at Columbia University and Carnegie Mellon University working with chemists to characterize novel hybrid materials.

Dr. Gaoang Wang joined the ZJU-UIUC as an assistant professor in September 2020. He is also an adjunct assistant professor at UIUC. His research interests are computer vision, image and video processing, including multi-object tracking, pose estimation, deep neural networks, etc. Gaoang Wang received a B.S. degree from the electrical engineering department of Fudan University in 2013. He received a M.S. degree from the electrical and computer engineering department of the University of Wisconsin-Madison in 2015. He then received a Ph.D. degree from the information processing laboratory of the electrical and computer engineering department at the University of Washington in 2019. After that, he joined Megvii US office in July 2019 as a research scientist working on multi-frame fusion. He then joined Wyze Labs in November 2019, working on network design for edge-cloud collaboration. Gaoang Wang participated in AI City Challenge held by Nvidia from 2017 to 2019 each year and won the first and second prizes in several tracks. He has published papers in several renowned academic journals and international conferences, including IEEE T-IP, IEEE T-MM, IEEE T-CSVT, IEEE T-VT, CVPR, ICCV, ACM MM, etc.

Research areas：Computer Vision, Image and Video Processing

Binbin Li is an Associate Professor in the Zhejiang University-University of Illinois Urbana-Champaign Institute at the Zhejiang University, International Campus. He obtained his Ph.D. in Civil Engineering from the University of California-Berkeley in 2016. Before joining ZJU, he worked as a research associate at the University of Liverpool. Prof. Li’s research focuses on developing innovative statistical methods to address safety, sustainability and resilience issues of the built civil infrastructure systems including bridges, buildings, and road/rail networks. His specific interests include Bayesian system identification, operational modal analysis, infrastructural network modeling and field test, for structure and infrastructure health management and resilience assessment. The ultimate goal of Prof. Li’s work is to equip the civil infrastructure systems with a smart brain so that they can sense, process and react properly to the external excitations, e.g., earthquakes, windstorms.

Direction：Structural Dynamics, Risk & Uncertainty, Structural Health Monitoring, Bayesian statistics

Chushan Li received the B.E.E. degree and Ph.D. degree in electrical engineering from the Department of Electrical Engineering, Zhejiang University, Hangzhou, China, in 2008 and 2014, respectively. Currently, he is a tenured associate professor in Zhejiang University – University of Illinois Urbana-Champaign Institute, Zhejiang, China. From April to September in 2008, he was an internship student with the Power Application Design Center in National Semiconductor (Hong Kong) Co.Ltd. From December 2010 to October 2011, he was a visiting scholar with the Freedm Center in North Carolina State University. From December 2013 to June 2014, he was a research assistant in Hong Kong Polytechnic University. From July 2014 to July 2017, he was a postdoctoral fellow in Department of Electrical and Computer Engineering, Ryerson University, Canada. He has published 34 peer-reviewed papers including 13 top journal papers. He has also filed 7 Chinese patents (all granted).

Research areas: High Power Density Power Converter, Multilevel Converter, Transportation Electrification, High Power Drive System

Der-Horng Lee is a Fellow of the Academy of Engineering Singapore, Qiushi Chair Professor at Zhejiang University, former Dean of the Zhejiang University–University of Illinois Urbana-Champaign Institute, and holds a PhD from the University of Illinois. He currently serves as an Executive Committee Member and Director of the Transportation Division of the Academy of Engineering Singapore. He is internationally recognized for his contributions to transportation and logistics systems.
Before joining Zhejiang University, Professor Lee was a tenured full professor in the Department of Civil and Environmental Engineering at the National University of Singapore and a member of the University Senate. Over the years, he has been active at the forefront of future transportation, logistics systems, smart cities, and decision-making for complex systems, with extensive experience spanning academic research, policy advisory work, and industrial practice. In 2002, he was named one of the TR35: Global Top 35 Innovators Under the Age of 35 by MIT Technology Review. He has also been consistently listed among Stanford University’s World’s Top 2% Scientists and Elsevier’s Highly Cited Researchers in China.
Professor Lee’s scholarly influence has long been at the forefront internationally across multiple areas, including transportation logistics, port operations, maritime transportation, intermodal transport, and public transportation. His research encompasses future transportation and AI systems, the low-altitude economy and unmanned transportation networks, intermodal transport and smart supply chain optimization, digital twins and intelligent decision-making for complex systems, as well as sustainable mobility and urban transport governance. He has produced a series of original and internationally influential contributions in such areas as large-scale container port logistics operations, urban rail transit, highly accessible autonomous transportation systems, and high-fidelity transportation simulation.
In addition to his academic work, Professor Lee has long been involved in strategic and policy planning related to transportation and national development in Singapore. He also previously served at a major publicly listed technology company as Senior Vice President for Research and Development, where he was responsible for major R&D programs and the management of high-level technical teams. His career spans academia, policy, and industry, giving him a distinctive and integrative perspective.
As a foreign academician working full-time in China, Professor Lee was received by President Xi Jinping in Beijing in October 2019.

Research Areas
1.Future Transportation and Artificial Intelligence Systems
2.Low-Altitude Economy and Unmanned Transportation Networks
3.Intermodal Transport and Smart Supply Chain Optimization
4.Digital Twins and Intelligent Decision-Making for Complex Systems
5.Sustainable Mobility and Urban Transport Governance

Dr Fangwei Shao graduated from Fudan University with BS and MS in Chemistry. She then moved to USA to pursue herPh.D. at California Institute of Technology under the supervision of Professor Jacqueline K. Barton from 2002 to 2007. She further obtained postdoctoral research training at Harvard Medical School/Massachusetts General Hospital from 2007-2010 at Professor (M.D.) Ralph Weissleder’s group. She has begun her independent academic career at Division of Chemistry and Biological Chemistry at Nanyang Technological University (Singapore) as Nanyang Assistant Professor since 2010.

Research areas: Nucleic Acid Chemistry, Bioinorganic Chemistry, Chemical Biology

Dr. Lin is an Assistant Professor at ZJUI. She received her Ph.D. in Biomedical Engineering from the Yale University in 2017 and her undergraduate degree in Optical Engineering from Zhejiang University in 2011. Prior to joining ZJUI, she worked at the European Molecular Biology Laboratory in Heidelberg, Germany as a postdoctoral research fellow. Dr. Lin works on interdisciplinary research topics at the interface of Engineering, Biology and Physics. She designs and builds novel microscopes to study intriguing biological structures and functions.

Direction：Super-resolution microscopy, light-sheet microscopy, automated microscope and high-throughput image data process

Dr. Cui is a tenured associate professor at ZJUI. Dr. Cui received his Ph.D from the University of Cambridge in 2016 and his undergraduate degree from Xi'an Jiaotong University in 2012. He also visited the University of California, Los Angeles in 2012.

Direction：Computational Fluid Dynamics, Design Optimization, Aerodynamic and Heat Transfer Optimization in Turbomachinery