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Overview
With a view to constructing an internationalized cross-disciplinary innovative first-class institute of engineering, optimizing the talent team, building a top-notch talent echelon, and promoting the regulated operation of the human resources work, the Human Resources Committee of ZJU-UIUC Institute is established. The Human Resources Committee is an expert body that provides consultancy, deliberation, supervision and guidance for ZJUI’s human resources work.
Members
Wu Yingcai
Yingcai Wu is a Professor at the State Key Lab of CAD & CG, Zhejiang University. He now serves as a deputy director of the State Key Lab of CAD&CG, Zhejiang University. He earned his Ph.D. in Computer Science from the Hong Kong University of Science and Technology in 2010. Prior to his current role, he was a postdoctoral researcher at the University of California, Davis (2010-2012), a researcher at Microsoft Research Asia (2012-2015), and a ZJU100 Young Professor at Zhejiang University (2015-2020). His research delves into sports science, social media analysis, and urban computing. He has a publication record with over 100 peer-reviewed papers in prestigious journals and conferences such as IEEE VIS, IEEE TVCG, and ACM SIGCHI. His research excellence is underscored by five Honorable Mention Awards from IEEE VIS and two from IEEE Pacific Visualization. He plays an active role in the academic community, currently serving on the Area Curation Committee for IEEE VIS and Editorial Board of IEEE Transactionns on Visualization and Computer Graphics, and has held significant positions such as area paper co-chair for IEEE VIS 2022-2023 and paper co-chair for IEEE Pacific Visualization 2017.

Direction:
Visual Analytics, Information Visualization, Human Computer Interaction
Jian-Ming Jin
Jian-Ming Jin received his Ph.D. degree in electrical engineering from the University of Michigan, Ann Arbor, in 1989. He joined the University of Illinois Urbana-Champaign in 1993 and is currently the Y. T. Lo Chair Professor with the Department of Electrical and Computer Engineering and the Director with the Electromagnetics Laboratory and Center for Computational Electromagnetics. He has authored and coauthored more than 280 papers in refereed journals and 22 book chapters. He has also authored The Finite Element Method in Electromagnetics (Wiley, 1st ed. 1993, 2nd ed. 2002, and 3rd ed. 2014), Electromagnetic Analysis and Design in Magnetic Resonance Imaging (CRC, 1998), Theory and Computation of Electromagnetic Fields (Wiley, 1st ed. 2010 and 2nd ed. 2015), and coauthored Computation of Special Functions (Wiley, 1996), Fast and Efficient Algorithms in Computational Electromagnetics (Artech, 2001), and Finite Element Analysis of Antennas and Arrays (Wiley, 2008). His current research interests include computational electromagnetics, multiphysics modeling, scattering and antenna analysis, electromagnetic compatibility, high-frequency circuit modeling and analysis, bioelectromagnetics, and magnetic resonance imaging. He was elected by the ISI as one of the world’s most cited authors in 2002, and is also a Fellow of IEEE, the Optical Society of America (OSA), Electromagnetics Academy, and Applied Computational Electromagnetics Society (ACES).
ONG Weeliat
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.
LI Chushan
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
ZHU Tingju
Tingju Zhu joined the ZJU-UIUC Institute at Zhejiang University as a tenured Associate Professor in December, 2018. He graduated from the University of California, Davis with a Ph.D. in Civil and Environmental Engineering (major in Water Resource Systems Engineering and minor in Agricultural and Resource Economics) in 2004. Prior to that, he earned his B.S.E. and M.S.E. degrees in Hydrology and Water Resources from Wuhan University and Tsinghua University, respectively. From 2005 to 2018, he worked at the International Food Policy Research Institute in Washington, D.C. as a Postdoctoral Fellow, Senior Scientist and Research Fellow, conducting interdisciplinary research at the interface of hydrology, engineering, and economics for addressing real-world problems concerning sustainable water resource management, food security and associated socioeconomic outcomes under changing environment. He has led and contributed to many research projects funded by international organizations such as the World Bank, the U.S. National Science Foundation and other federal agencies of the United States, funding agencies of other OECD countries and private foundations. Through these research projects he collaborated with economists, engineers and natural scientists from academia and governmental research agencies internationally. He has co-advised Ph.D. students in major research universities, served on committees of professional association and international conferences as member or co-chair, is a reviewer of several major water, food and interdisciplinary academic journals, and serves as Associate Editor of the Journal of Water Resources Planning and Management - ASCE. His research has been recognized by the Editors’ Choice Award (2011) of Water Resources Research (WRR), the flagship water journal of the American Geophysical Union, WRR Research Highlight (2018) and the INFORMS ENRE Best Publication Award in Natural Resources (2018), among others.

Direction:
Water Resource Systems Engineering, Water-Energy-Food Nexus, Integrated Modeling of Global Water-Food Systems, Flood Protection Planning, Climate Change Adaptation, Water Economics and Policy
CUI Jiahuan
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
LI Binbin
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
LIN Yu
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
WANG Gaoang
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
Fangwei SHAO
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

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