Executive Committee
Xihong Lin, President
Xihong Lin is Professor and former Chair of the Department of Biostatistics, Coordinating Director of the Program in Quantitative Genomics at the Harvard T. H. Chan School of Public Health, and Professor of the Department of Statistics at the Faculty of Arts and Sciences of Harvard University, and Associate Member of the Broad Institute of Harvard and MIT. Dr. Lin is an elected member of the National Academy of Medicine. She received the 2002 Mortimer Spiegelman Award from the American Public Health Association, and the 2006 Committee of Presidents of Statistical Societies (COPSS) Presidents’ Award and the 2017 COPSS FN David Award. She is an elected fellow of American Statistical Association (ASA), Institute of Mathematical Statistics, and International Statistical Institute.
S. Joe Qin, Past President
Dr. S. Joe Qin obtained his B.S. and M.S. degrees in Automatic Control from Tsinghua University in Beijing, China, in 1984 and 1987, respectively, and his Ph.D. degree in Chemical Engineering from University of Maryland at College Park in 1992. He is the Professor at the Viterbi School of Engineering of the University of Southern California. Dr. Qin is a Fellow of IEEE and Fellow of the International Federation of Automatic Control (IFAC). He is a recipient of the National Science Foundation CAREER Award, the 2011 Northrop Grumman Best Teaching award at Viterbi School of Engineering, the DuPont Young Professor Award, Halliburton/Brown & Root Young Faculty Excellence Award, NSF-China Outstanding Young Investigator Award, Chang Jiang Professor of Tsinghua University, National “Thousand Talent” Professor of China, and recipient of the IFAC Best Paper Prize for a model predictive control survey paper published in Control Engineering Practice. He is currently a Subject Editor for Journal of Process Control and a Member of the Editorial Board for Journal of Chemometrics. He has published over 140 papers in SCI journals or book chapters, with over 10,000 Web of Science citations and an associated h-index of 49. He has given over 40 invited plenary or keynote speeches and over 100 invited technical seminars worldwide. Dr. Qin’s research interests include process data analytics, machine learning, process monitoring and fault diagnosis, model predictive control, system identification, building energy optimization, multi-step batch process control, and control performance monitoring.
Yu Wang, Vice President
Yu Wang is currently a Professor in the Department of Computer and Information Sciences at Temple University. He holds a Ph.D. from Illinois Institute of Technology, an MEng and a BEng from Tsinghua University, all in Computer Science. His research interest includes wireless networks, smart sensing, and mobile computing. He has published over 200 papers in peer reviewed journals and conferences, with four best paper awards. He is a recipient of Ralph E. Powe Junior Faculty Enhancement Awards from Oak Ridge Associated Universities (2006), Outstanding Faculty Research Award from College of Computing and Informatics at the University of North Carolina at Charlotte (2008), and Fellow of IEEE (2018).
Min Wu, Vice President
Min Wu is a Professor of Electrical and Computer Engineering and a Distinguished Scholar-Teacher at the University of Maryland, College Park. She received B.E. degree in electrical engineering - automation and B.A. degree in economics in 1996 from Tsinghua University, and Ph.D. degree in electrical engineering from Princeton University in 2001. At UMD, she leads the Media and Security Team (MAST), with main research interests on information security and forensics and multimedia signal processing. Her research and education have been recognized by a U.S. NSF CAREER award, a TR100 Young Innovator Award from the MIT Technology Review, a U.S. ONR Young Investigator Award, a Computer World "40 Under 40" IT Innovator Award, the Daily Record Innovator of the Year Award, IEEE Distinguished Lecturer recognition, and several paper awards from IEEE SPS, ACM, and EURASIP. Dr. Wu chaired the IEEE Technical Committee on Information Forensics and Security (2012-2013), and has served as Vice President - Finance of the IEEE Signal Processing Society (2010-2012), Founding Chief Editor of the IEEE SigPort repository (2013-2014), and Editor-in-Chief of the IEEE Signal Processing Magazine (2015-2017). She was elected IEEE Fellow and AAAS Fellow for contributions to signal processing, multimedia security and forensics.
Jane Wang, Secretary
Z. Jane Wang received her BSc from Tsinghua University, China, in 1996, with the highest honor, and her MSc and PhD from the University of Connecticut in 2000 and 2002 (under the supervision of Dr. Peter Willett), respectively, all in electrical engineering. While at the University of Connecticut, Dr. Wang received the Outstanding Engineering Doctoral Student Award. She has been Research Associate of Electrical and Computer Engineering Department and Institute for Systems Research at the University of Maryland, College Park, working with Dr. K. J. Ray Liu's group. Since 2004, she has been with the Department Electrical and Computer Engineering at UBC. Dr. Wang's research interests are in the broad areas of statistical signal processing, with applications to information security, biomedical imaging, genomic, and wireless communications. She co-received the 2004 EURASIP Best Paper Award and 2005 Best Paper Award from IEEE Signal Processing Society, and a Junior Early Career Scholar Award from Peter Wall Institute for Advanced Studies at the University of British Columbia in 2005. She co-edited a book Genomic Signal Processing and Statistics (Hindawi Publishing Co., 2005) and co-authored a book Multimedia Fingerprinting Forensics for Traitor Tracing (Hindawi Publishing Co., 2005). She is the chair and founder of the IEEE Vancouver SP chapter. She was Finance Chair of IEEE International Workshop on Genomic Signal Processing and Statistics 2005 (GENSIPS05), Local Arrangement Chair of 2003 IEEE International Conference on Systems, Man & Cybernetics (SMC03), Co-vice Chair of the Second International Symposium on Multimedia over Wireless (ISMW2006), and the Publicity Chair of 2006 International Workshop on Multimedia Signal Processing (MMSP06).
Xinyu Cao, Treasurer
Xinyu (Jason) Cao is a professor at the Humphrey School of Public Affairs at the University of Minnesota. His research interests include land use and transportation interactions, the effects of ICT on travel behavior, and planning for quality of life. Jason is Co-Editor in Chief of Transportation Research Part D. He was the Chair of International Association for China Planning during 2015-17. Jason received his bachelor and master degrees from the School of Civil Engineering, Tsinghua University. He obtained his master degree in statistics and Ph.D. degree in Civil and Environmental Engineering from University of California Davis, with honors.
Directors at Large
Yinhai Wang
Dr. Wang is a professor in Civil and Environmental Engineering (primary) and Electrical Engineering (Courtesy) at the University of Washington in Seattle. He serves as director of Pacific Northwest Transportation Consortium (PacTrans), US Department of Transportation University Transportation Center for Federal Region 10. Dr. Wang’s active research fields include traffic sensing, impacts of connected and autonomous vehicles, smart mobility, transportation data science, traffic system simulation and control, transportation safety, etc. He has been principal investigator (PI) or co-PI for over 80 important research projects with a total funding of over 70 million US dollars. He is an elected governor for the Transportation and Development Institute (T&DI) under American Society of Civil Engineers (ASCE) and scheduled to serve as president of T&DI in 2018.
Yiran Chen
Yiran Chen received B.S and M.S. from Tsinghua University and Ph.D. from Purdue University in 2005. After five years in industry, he joined University of Pittsburgh in 2010 as Assistant Professor and then promoted to Associate Professor with tenure in 2014, held Bicentennial Alumni Faculty Fellow. He now is a tenured Associate Professor of the Department of Electrical and Computer Engineering at Duke University and serving as the co-director of Duke Center for Evolutionary Intelligence (CEI), focusing on the research of new memory and storage systems, machine learning and neuromorphic computing, and mobile computing systems. He is a Fellow of IEEE.
Zhenqiang Ma
Zhenqiang (Jack) Ma is a Lynn H. Matthias Professor in Engineering and a Vilas Distinguished Achievement Professor in the Department of Electrical and Computer Engineering at University of Wisconsin – Madison. He received his B.S. degree in applied physics and B.E. degree in electrical engineering from Tsinghua University in Beijing, China in 1991. He received his M.S. degree in nuclear science and M.S.E. degree in electrical engineering from the University of Michigan, Ann Arbor in 1997, and the Ph.D. degree in electrical engineering from the University of Michigan, Ann Arbor in 2001. From 2001-2002, worked for Conexant Systems and Jazz Semiconductor (now TowerJazz), in Newport Beach, CA. His research covers electrical engineering, materials science and engineering, biomedical engineering, energy, health, and engineering physics. He is a recipient of PECASE. He is a fellow of AAAS, AIMBE, APS, IEEE, NAI and OSA.
Jeff Ban
Dr. Xuegang (Jeff) Ban is a Professor at the Department of Civil and Environmental Engineering of the University of Washington. He received his B.S. and M.S. in Automotive Engineering from Tsinghua University, and his M.S. in Computer Sciences and Ph.D. in Civil Engineering (Transportation) from the University of Wisconsin at Madison. His research interests are in Transportation Network System Modeling and Simulation, Urban Traffic Modeling and Control, and Transportation Big Data Analytics, with a focus on emerging technologies and systems in transportation such as Connected/Automated Vehicle (CAV), New Mobility Services, and Electric Vehicles/Buses. Dr. Ban is an Editor / Associate Editor of IEEE Transactions on Intelligent Transportation Systems, Transportation Research Part C, and Journal of Intelligent Transportation Systems, and serves on the editorial board of Transportation Research Part B, Networks and Spatial Economics, and Transportmetrica B. He is a member of the Network Modeling Standing Committee (AEP40) and a member of the Vehicle-Highway Automation Standing Committee (ACP30) of the Transportation Research Board (TRB), under the National Academies of Sciences, Engineering, Medicine. He received the 2011 CAREER Award from the National Science Foundation (NSF), and the New Faculty Award from the Council of University Transportation Centers (CUTC) and the American Road & Transportation Builders Association (ARTBA) in 2012.
Ping Ji
Ping Ji received a B.Sc. degree in Computer Science and Technology from Tsinghua University and a Ph.D. in Computer Science from the Computer Networks Research Group at the University of Massachusetts at Amherst. Ping is a Professor of Mathematics and Computer Science, and currently serves as the Executive Officer (Chair) of the Computer Science PhD Program, and the Master's Program in Data Science of CUNY Graduate Center. Ping is also a faculty of the Master's Program in Digital Forensics and Cybersecurity (D4CS), of CUNY John Jay College of Criminal Justice. Ping's research interests include Network Measurements and Data Analysis, Security Monitoring Strategies for Computer & Wireless Networks, Network Security, Mobile Networks, and Internet of Things (IoT). Her work has been published in well recognized professional journals and conference proceedings including IEEE/ACM Transaction on Networking (ToN), ACM Sigcomm, ACM SigKDD, Performance Evaluation, etc.. Ping is the receipient of a number of research fundings and awards from National Science Foundation and other government agencies. She served as co-chair for the First Annual ACM Northeast Digital Forensics Exchange, and has been a program committee member for numerous computer networking conferences, and a guest editor for a number of professional journals.
Husheng Li
Husheng Li received the B.S. and M.S. degrees in electronic engineering from Tsinghua University, Beijing, China, in 1998 and 2000, respectively, and the Ph.D. degree in electrical engineering from Princeton University in 2005. From 2005 to 2007, he worked as a senior engineer at Qualcomm Inc., San Diego, Calif. In 2007, he joined the EECS department of the University of Tennessee, Knoxville, as an assistant professor.His research is mainly focused on statistical signal processing, wireless communications, networking and information theory. He is also interested in the theory of random matrices. Dr. Li is the recipient of the Best Paper Award of EURASIP Journal of Wireless Communications and Networks, 2005 (together with his Ph.D. advisor: Prof. H. V. Poor).
Jingshan Li
Dr. Jingshan Li received the BS and MS in Automation and PhD in Electrical Engineering from Tsinghua University, Chinese Academy of Sciences, and University of Michigan, in 1989, 1992 and 2000, respectively. He was with General Motors Research & Development Center from 2000 to 2006, and with University of Kentucky from 2006 to 2010. He is now a Professor in Department of Industrial and Systems Engineering, and the Associate Director of Wisconsin Institute of Healthcare Systems Engineering, University of Wisconsin, Madison, WI. Dr. Li is the co-author of Production Systems Engineering (Springer, 2009; Chinese edition by BIT Press, 2012), and co-editor of 7 book volumes. Up-to-date, he has published over 120 refereed journal articles, 15 book chapters and 120 peer reviewed conference proceedings. He is the Editor-in-Chief of Conference Editorial Board of IEEE International Conference on Automation Science and Engineering, Senior Editor of IEEE Transactions on Automation Science and Engineering, IEEE Robotics and Automation Letters, IISE Transactions, and Flexible Service and Manufacturing Journal, and the Associate Editor of International Journal of Production Research and International Journal of Automation Technology. He was the founding Chair of IEEE Technical Committee on Sustainable Production Automation (2012-2016) and has been the Chair of IEEE Technical Committee on Automation for Healthcare Management since 2016. He also serves as the Program Chair of 2019 IEEE International Conference on Automation Science and Engineering. Dr. Li is an IEEE Fellow, IISE Fellow, and a Distinguished Lecturer in robotics and automation. He received the NSF CAREER Award (2010-2016), the IEEE Robotics and Automation Early Career Award (2006), and multiple Best Paper Awards from IEEE Transactions, IIE Transactions, and many flagship conferences. His primary research interests are in design, analysis, and control of production and healthcare delivery systems.
Leslie Ying
Dr. Leslie Ying is the Furnas Chair Professor of Biomedical Engineering and Electrical Engineering at University at Buffalo, the State University of New York. She received her B.E. in Electronics Engineering from Tsinghua University, China in 1997 and both her M.S. and Ph.D. in Electrical Engineering from the University of Illinois at Urbana - Champaign in 1999 and 2003, respectively. Prior to joining University at Buffalo in 2012, she was a faculty of Electrical Engineering and Computer Science at the University of Wisconsin – Milwaukee. Her research interests include magnetic resonance imaging, compressed sensing, image reconstruction, and machine learning. She has contributed to the advancement of various biological and medical imaging modalities using computational methods. Dr. Ying received a CAREER award from the National Science Foundation in 2009. She was elected as an Administrative Committee member of IEEE Engineering in Medicine and Biology Society in 2013-2015. She was an Associate Editor of IEEE Transactions on Biomedical Engineering, a Deputy Editor of Magnetic Resonance in Medicine, and an editorial board member of Scientific Reports. She has been the Editor-in-Chief of IEEE Transactions on Medical Imaging since 2019. She is a Fellow of AIMBE.
Jia Xue
Dr. Xue is an Assistant Professor co-appointed in the Factor-Inwentash Faculty of Social Work and the Faculty of Information (iSchool) at the University of Toronto. Currently, she is a faculty research fellow at the Schwartz Reisman Institute for Technology and Society. She is the founding director of the Artificial Intelligence for Justice Lab, at the University of Toronto. She received her Ph.D. in Social Welfare from School of Social Policy & Practice, University of Pennsylvania in 2018, along with a dual master’s degree in Statistics from Wharton School, University of Pennsylvania in 2016, and Law degree from Tsinghua University Law School (China) in 2011. She took her research fellowship at Harvard University, Kennedy School of Government from June 2016 to June 2018.
Han Chen
Dr. Han Chen is an Associate Professor in the Human Genetics Center, School of Public Health at the University of Texas Health Science Center at Houston (UTHealth Houston), with a joint appointment in the Center for Precision Health, School of Biomedical Informatics at UTHealth Houston. He received his B.S. degree in Biological Sciences from Tsinghua University in 2007. He received his M.A. degree in Statistics from Columbia University in 2009, and Ph.D. degree in Biostatistics from Boston University in 2013. After finishing his postdoctoral research training at Harvard T.H. Chan School of Public Health, he joined UTHealth Houston as an Assistant Professor in 2016. His research interests focus on statistical genetics and genetic epidemiology on complex human diseases. He received an NIH Pathway to Independence Award (K99/R00) in 2015.
Zhu Han
Zhu Han received the B.S. degree in electronic engineering from Tsinghua University, in 1997, and the M.S. and Ph.D. degrees in electrical and computer engineering from the University of Maryland, College Park, in 1999 and 2003, respectively. Currently, he is a John and Rebecca Moores Professor in the Electrical and Computer Engineering Department as well as in the Computer Science Department at the University of Houston, Texas. Dr. Han received an NSF Career Award in 2010, IEEE fellow since 2014, and AAAS fellow since 2019. Dr. Han is a 1% highly cited researcher since 2017 according to Web of Science. Dr. Han is also the winner of the 2021 IEEE Kiyo Tomiyasu Award, for outstanding early to mid-career contributions to technologies holding the promise of innovative applications, with the following citation: “for contributions to game theory and distributed management of autonomous communication networks.”
Qinghua He
Dr. Qinghua (Peter) He obtained his BS degree from Tsinghua University in 1996, MS and PhD degrees in 2002 and 2005 from the University of Texas, Austin, all in chemical engineering. He is a professor in the Department of Chemical Engineering at Auburn University. He has published over 80 journal papers and has several top-10 most cited articles from Journal of Process Control, and Computers & Chemical Engineering, and has won best paper awards at different conferences. He had served as an associate editor for ISA Transactions, review editor for Frontiers in Energy Research, and guest editors for Processes and Frontiers in Chemical Engineering. His most recent research focus is on systems engineering enhanced data analytics and machine learning, with applications in smart manufacturing, renewable energy systems, precision agriculture, chemometrics and cancer informatics.
Juejun Hu
Juejun (JJ) Hu is currently the John F. Elliott Professor of Materials Science and Engineering at MIT. He holds a Ph.D. degree (2009) from MIT and a B.S. degree (2004) from Tsinghua University, China, both in Materials Science and Engineering. Prior to joining MIT, Hu was an Assistant Professor at the University of Delaware from 2010 to 2014. His research primarily focuses on integrated optics and photonics and technologies developed in his lab has led to several spin-off companies. Prof. Hu has authored and coauthored more than 150 refereed journal publications, and he has been recognized with the SPIE Early Career Achievement Award, the Robert L. Coble Award from the American Ceramic Society, the Vittorio Gottardi Prize from the International Commission on Glass, the NSF CAREER award, and the DARPA Young Faculty Award, among others. Hu is a fellow of Optica, SPIE, and the American Ceramic Society.
Jifeng Liu
Prof. Jifeng Liu received his B.S. (99’) and M. S. (01’) degrees in materials science and engineering from Tsinghua University, Beijing, China, and his Ph.D. degree in materials science and engineering from the Massachusetts Institute of Technology (06’). He is currently a Professor and the Program Area Lead of Materials Science and Engineering at Thayer School of Engineering, Dartmouth College. His major research field is nanophotonic materials and devices for sensing, communication, renewable energy, and energy efficiency. In the optoelectronics and photonics community, he is best known for his pioneering work on germanium and germanium tin active photonic materials and devices integrated on silicon photonic chips. Prof. Liu has authored or coauthored >100 peer-reviewed journal papers, >80 conferences papers, and 7 book chapters, which have been cited over 13,000 times (h-index 49) according to Google Scholar. He has also been granted 18 U.S. patents related to nanophotonic materials and devices. He is a recipient of NSF CAREER Award, a Fellow of the Optical Society of America (OSA), and a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE). He serves as the General Co-Chair of 2023 IEEE Silicon Photonics Conference, and Program Chair in Science & Innovation of 2024 Conference of Lasers and Electro-Optics (CLEO).
Dengfeng Sun
Dengfeng Sun is a Professor of Aeronautics and Astronautics at Purdue University, West Lafayette, Indiana. Before joining Purdue, he was an Associate Scientist with University of California Santa Cruz at NASA Ames Research Center. He received a bachelor's degree in precision instruments and mechanology from Tsinghua University in China, a master's degree in industrial and systems engineering from the Ohio State University, and a PhD degree in civil engineering from University of California at Berkeley. Dr. Sun's research interests include distributed control and optimization: theory, algorithms, and computation; cyber-physical systems; unmanned aerial vehicle systems; air traffic control and air transportation; intelligent transportation systems. Dr. Sun is an Associate Fellow of the AIAA (American Institute of Aeronautics and Astronautics) and a Senior Member of the IEEE (Institute of Electrical and Electronics Engineers). Currently, he is an Associate Editor for the IEEE Transactions on Intelligent Transportation Systems and an Associate Editor for the IEEE Transactions on Aerospace and Electronic Systems. Dr. Sun is a Co-Director of NEXTOR III, the FAA Consortium in Aviation Operations Research, and serves the Technical Committee on Guidance, Navigation, and Control in the AIAA. He is the faculty advisor of Sigma Gamma Tau, the national honor society for Aerospace Engineering. Dr. Sun is a Private Pilot and a Drone Pilot. He was the faculty advisor of PPI (Purdue Pilots, Inc.) from 2012 to 2021.