Lee Der-Horng is an academician of the Singapore Academy of Engineering and a supported expert of the Zhejiang Province Kunpeng Action Program. He is a Qiushi Chair Professor at Zhejiang University, and the Dean of the Zhejiang University-University of Illinois Urbana-Champaign Institute. He holds a Ph.D. from the University of Illinois. He is also an Executive Committee member of the Singapore Academy of Engineering, as well as the Leader of the Transportation Engineering Group. Before joining Zhejiang University in 2021, he was a tenured professor in the Department of Civil and Environmental Engineering at the National University of Singapore, and an elected member of the NUS Senate. In 2002, he was named one of the “Innovators Under 35” by MIT Technology Review and has been listed among “World’s Top 2% Scientists” published by Stanford University. He has also been named as “Most Cited Chinese Researcher” by Elsevier. According to the Google Scholar database, Professor Lee ranks first in the field of maritime transportation, and third in the fields of port logistics, public transportation, and urban travel, and fifth in the field of transportation policy. Professor Lee’s research focuses on smart port and shipping logistics systems, maritime transportation systems, urban mobility systems, urban rail transit systems, transportation planning and policy, etc. He has made prime academic contributions in the fields of large-scale container port logistics operations, intelligent urban rail transit, ultra-flex autonomous mobility system, and high-fidelity traffic simulation. As a foreign academician working full-time in China, Professor Lee was received by President Xi Jinping in Beijing in October 2019.

Research Areas:
Port Logistics, Maritime Transportation, Urban Mobility, Public Transportation, Transportation Policy

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. Prior to joining the ZJUI institute, he worked at the University of Cambridge as a research associate on an aero-engine project sponsored by Rolls Royce and Innovate UK.
Direction：
Computational Fluid Dynamics, Machine Learning, Design Optimization, Aerodynamic and Heat Transfer Optimization in Turbomachinery

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).

Binbin Li is an Assistant 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. Fully funded PhD positions in civil engineering are available. Motivated graduate and undergraduate students are welcome to apply by contacting Prof. Li bbl@zju.edu.cn. Postdoc positions are also open. Please contact Prof. Li for more information.
Direction：
Structural Dynamics, Risk & Uncertainty, Structural Health Monitoring, Bayesian statistics

Introduction：
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
超分辨光学显微镜，光片照明显微镜，自动化显微镜和高通量图像数据处理

Dr. Lu, Assistant Dean, Director of Academic Affairs Office for Undergraduate. He is responsible for academic affairs and undergraduate student admission management, academic liaison with UIUC, academic affairs coordination, education plan establishment, curricula construction, education quality control, loan faculties and TAs recruitment, and other related work.

Prof. MA Hao is the Vice Dean of ZJUI. He received the B.S., M.S. and Ph.D. degrees from Zhejiang University, Hangzhou, China, in 1991, 1994 and 1997 respectively, all in Electrical Engineering. Since 1997, he worked as a lecturer, associate professor and professor at Zhejiang University. He also served as Director of Academic Committee of China Power Supply Society and Vice Dean of college of electrical engineering, Zhejiang University (2013-2017), AdCom member of IEEE Industrial Electronics Society (2014-2015), Technical Pro ergy Conversion, IEEE IECON 2013, and Special Session Co-chair of IEEE IECON 2017.

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. He also received a M.Eng from NUS in 2004 where he developed a robot for performing experiments used in drug discovery. In 2015 he received his Ph.D. in Mechanical Engineering at Carnegie Mellon University under Prof. Jonathan Malen and Prof. Alan McGaughey, where he studied nanoscale heat transfer focusing on organic-inorganic nanostructured materials using both experimental and simulation techniques. 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, machine learning, image and video processing, including multi-object tracking, pose estimation, deep neural networks, active learning, 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 deep neural 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.
Direction：
Computer Vision, Machine Learning, Image and Video Processing

Prof. Hongwei Wang is a tenured professor at ZJUI where he services as the vice dean and the director of the data and information sciences research program. He is the vice president of the Information Technology Branch of the Zhejiang Association of Scholars from Overseas. Prof. Wang serves as the associate editor of the IET Collaborative Intelligent Manufacturing Journal and an editorial board member of Journal of Service Oriented Computing and Applications. He has been invited to deliver keynote speeches twice in international conferences, and has won four best paper awards. Prior to joining Zhejiang University, he held a permanent academic position at the University of Portsmouth, UK. Prof. Wang got his bachelor’s degree from Zhejiang University, China, his master degree from Tsinghua University, China, and his Ph.D. degree from the University of Cambridge, UK, respectively.
Prof. Wang has a broad interest in the application of AI and Knowledge-Based Systems (KBS) in the design, analysis, manufacture and maintenance of complex systems. He has been focusing on industrial knowledge graph, knowledge-based reasoning and decision making, fault diagnosis, and multimodal learning in the past few years. He has received continuous research grants from EPSRC, NSFC, Key Project of the S&T Ministry, Zhejiang Natural Science Foundation, etc. His research outcomes have underpinned the development of industrial software systems in different areas, which have led to the winning of several important awards and honors such as the Wuwenjun AI award. He has published over 140 papers in well-established journals and conferences such as IEEE Trans. on Services Computing, IEEE Trans. on Neural Networks and Learning Systems, IEEE Trans. on Industrial Informatics, IEEE Trans. on SMC: Systems、Energy, Neurocomputing, Energy, Robotics and Computer-Integrated Manufacturing.

Prof. Yan Xiao is currently the program director for Energy, Environment, and Infrastructure Sciences and a professor of ZJU-UIUC Institute. Prof Xiao Yan received his PhD degree in Structural Engineering in 1989, from Kyushu University, Fukuoka, Japan. He served as the Dean in the College of Civil Engineering, Nanjing Tech University, China and the Dean of College of Civil Engineering at the Hunan University, he joined the Astani Department of Civil and Environmental Engineering, University of Southern California from since 1994, where he had been a tenured full professor till 2011. His main research interests include design of structures against extreme loads, structural concrete, steel, hybrid or composite systems, structural materials, and experimental equipment development. He has more than 400 technical publications including more than ninety refereed journal papers. Many of these papers are pioneering in the relevant areas and are highly cited by scholars around the world. Besides his dedicated research and teaching activities, his administrative management experience is also various, including the laboratory committee chair in the Department of Civil and Environmental Engineering, USC, previous board member of the CUREe (California Universities for Research in Earthquake Engineering). Under his management, the structural testing capability of University of Southern California was greatly improved.