Qiang Yang, Hong Kong University of Science and Technology, China
Bio: Qiang Yang is the head of Computer Science and Engineering (CSE) Department at Hong Kong University of Science and Technology (HKUST),
where he is a New Bright Endowed Chair Professor of Engineering.
He is also the director of HKUST's Big Data Institute.
Between 2012 and 2014, he was a founding director of the Huawei Noah's Ark Research Lab.
His research interests are artificial intelligence including machine learning and data mining.
He is a fellow of AAAI, IEEE, IAPR and AAAS.
He received his PhD from Computer Science Department of the University of Maryland, College Park in 1989.
He had been an assistant/associate professor at the University of Waterloo between 1989 and 1995, and a professor and NSERC Industrial Research Chair at Simon Fraser University in Canada from 1995 to 2001.
He has been an invited speaker at IJCAI 2009, ACL 2009, ACML 2009 and ADMA 2008 and 2012, SDM 2012, WSDM 2013, etc.
He was elected as a vice chair of ACM SIGART/SIGAI between 2010 and 2014.
He was the founding Editor in Chief of the ACM Transactions on Intelligent Systems and Technology (ACM TIST) and the founding EiC of IEEE Transactions on Big Data.
He is on the editorial board of IEEE Intelligent Systems and several other international journals (IEEE, TKDE (2005-2009), AI Magazine, etc.).
He has served as a PC co-chair and general co-chair of several international conferences, including ACM KDD 2010 and 2012, ACM RecSys 2013, ACM IUI 2010, ICCBR 2001, etc.
He was the Program Committee Chair for IJCAI 2015 and was elected to be an AAAI Executive Council member in 2016.
In 2017, he receives the SIGKDD Distinguished Service Award. He currently serves as the president of IJCAI's board of trustees.
Jaideep Vaidya, Rutgers University, United States
Bio: Jaideep Vaidya is the RBS Dean's Research Professor in the MSIS Department at Rutgers University.
He received the B.E. degree in Computer Engineering from the University of Mumbai, the M.S. and Ph.D. degree in Computer Science from Purdue University.
His general area of research is in data mining, data management, security, and privacy.
He has published over 140 technical papers in peer-reviewed journals and conference proceedings, and has received several best paper awards from the premier conferences in data mining, databases, digital government, security, and informatics.
He has also received the NSF Career Award, the Rutgers Board of Trustees Research Fellowship for Scholarly Excellence, and the Junior Faculty Research Award from Rutgers Business School.
He is a senior member of the IEEE and ACM and has been recognized as an ACM Distinguished Scientist.
He is the Editor-in-Chief of IEEE Transactions on Dependable and Secure Computing.
Feifei Li, University of Utah, United States
Bio: Feifei Li is a Tenured Professor in the School of Computing at University of Utah.
He obtained his Ph.D in computer science from the Computer Science Department at Boston University in summer 2007,
and was an Assitant Professor in the Computer Science Department at Florida State University from Aug 2007 to Aug 2011.
He is a member of the Data Group at Utah.
He has won the ACM SIGMOD 2016 Best Paper Award, ACM SIGMOD 2015 Best Demonstration Award, IEEE ICDE 2014 10+ Years Most Influential Papers Award,
Hewlett-Packard's 2011 and 2012 Global R&D Awards, Google Faculty Award in 2015, Visa Faculty Award in 2017,
ACM Distinguished Member in 2018, and the US NSF Career Award. He has hosted and participated in many important research projects,
and has served as a member of the editorial board and the chairman of many leading international academic journals and academic conferences and is a reviewer and panelists of many major projects.
Xuemin Lin, The University of New South Wales, Australia
Bio: Xuemin Lin is a UNSW Scientia Professor in the School of Computer Science and Engineering at the University of New South Wales.
Currently, he is the head of data and knowledge research group in the School of Computer Science and Engineering at UNSW.
He is a fellow of IEEE. He got his PhD in Computer Science from the University of Queensland (Australia) in 1992 and his BSc in Applied Math from Fudan University (China) in 1984.
During 1984-1988, he studied for PhD in Applied Math at Fudan University.
He started his teaching in the Computer Science Department at the University of Western Australia in Nov 1994 after a 2 years research fellow appointment at the University of Queensland.
He joined the School of Computer Science and Engineering at the University of New South Wales in Nov 1997.
In 2005, he was a visiting researcher in Microsoft Asia Research Lab and visited Tokyo University as a JSPS fellow.
He is a distinguished visiting Professor at Tsinghua University and a visiting Chair Professor at Fudan University.
He has been an adiunct Professor at East Normal University, Zhejiang Gongshang University, and Guangzhou University.
He is the Editor-in-Chief of IEEE Transactions on Knowledge and Data Engineering.
Michael Pecht, University of Maryland, United States
Bio: Prof Michael Pecht (25,000+ citations, 70+ H-Index) has a BS in Physics,
an MS in Electrical Engineering and an MS and PhD in Engineering Mechanics from the University of Wisconsin.
He is a Professional Engineer, an IEEE Fellow, an ASME Fellow, an SAE Fellow and an IMAPS Fellow.
He served as editor-in-chief of IEEE Access for six years, as editor-in-chief of IEEE Transactions on Reliability for nine years,
and editor-in-chief of Microelectronics Reliability for sixteen years.
He has also served on three U.S. National Academy of Science studies,
two US Congressional investigations in automotive safety, and as an expert to the U.S. FDA.
He is the Director of CALCE (Center for Advanced Life Cycle Engineering) at the University of Maryland, which is funded by over 150 of the world's leading electronics companies at more than US$6M/year.
He is also a Chair Professor. He has written more than twenty books on product reliability, development, use and supply chain management.
He has also written a series of books of the electronics industry in China, Korea, Japan and India.
He has written over 700 technical articles and 10 patents. In 2015 he was awarded the IEEE Components, Packaging,
and Manufacturing Award for visionary leadership in the development of physics-of-failure-based and prognostics-based approaches to electronics reliability.
He was also awarded the Chinese Academy of Sciences President's International Fellowship.
In 2010, he received the IEEE Exceptional Technical Achievement Award for his innovations in the area of prognostics and systems health management.
In 2008, he was awarded the highest reliability honor, the IEEE Reliability Society's Lifetime Achievement Award.
Elisa Bertino, Purdue University, United States
Bio: Elisa Bertino is currently a Professor of Computer Science with Purdue University and serves as Research Director of the Center for Education and Research in Information Assurance and Security.
Her main research interests include security, privacy, digital identity management systems, database systems, distributed systems, and multimedia systems.
She is a fellow of the Association for Computing Machinery, and has been named a Golden Core Member for her service to the IEEE Computer Society.