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
His research interests are artificial intelligence including machine learning and
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
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
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
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
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
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
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
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
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
He was also awarded the Chinese Academy of Sciences President's International
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
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.
Zheng Yan, Xidian University, China
Bio: Zheng Yan is a professor in the School of Cyber Engineering, Xidian University,
China and a visiting professor and Finnish Academy Fellow at the Aalto University,
Finland. She received the Doctor of Science in Technology from the Helsinki
University of Technology, Finland. Before joining academia in 2011, she was a senior
researcher at the Nokia Research Center, Helsinki, Finland, since 2000. Her research
interests are in trust, security, privacy, and security-related data analytics. She
is an inventor of 24 patents and 45 PCT patents, all of them having been adopted in
industry. She is an associate or area editor of IEEE Internet of Things Journal,
Information Fusion, Information Sciences, IEEE Access, and JNCA. She served as a
general chair or program chair for numerous international conferences including IEEE
TrustCom 2015. She is a founder steering committee co-chair of IEEE Blockchain
conference. She received several awards, including the 2017 Best Journal Paper Award
issued by IEEE Communication Society Technical Committee on Big Data and the
Outstanding Associate Editor of 2017/2018 for IEEE Access.