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.

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

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

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：
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 an assistant 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. His research interest includes high power density power converter design for transportation system, and AC-DC power conversion technology. He has published 34 peer-reviewed papers including 13 top journal papers. He has also filed 7 Chinese patents (all granted).

Direction：
High Power Density Power Converter, Multilevel Converter, Transportation Electrification, High Power Drive System

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.

Introduction：
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.

Direction：
Nucleic Acid Chemistry, Bioinorganic Chemistry, Chemical Biology, and DNA Nanotechnology

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