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The 2021 4th International Conference on Computing and Big Data (ICCBD 2021) will be held in Wuhan, China from November 27-29, 2021.

Keynote Speakers 主旨报告

ICCBD 2021 Keynote Speakers


Prof. Xianbin Wang, Western University, Canada

IEEE Fellow & Fellow of Canadian Academy of Engineering

Dr. Xianbin Wang (S’98-M’99-SM’06-F’17) is a Professor and Tier 1 Canada Research Chair at Western University, Canada. He received his Ph.D. degree in electrical and computer engineering from National University of Singapore in 2001.
Prior to joining Western, he was with Communications Research Centre Canada (CRC) as a Research Scientist/Senior Research Scientist between July 2002 and Dec. 2007. From Jan. 2001 to July 2002, he was a system designer at STMicroelectronics. His current research interests include 5G and beyond, Internet-of-Things, communications security, machine learning and intelligent communications. Dr. Wang has over 400 peer-reviewed journal and conference papers, in addition to 30 granted and pending patents and several standard contributions.
Dr. Wang is a Fellow of Canadian Academy of Engineering, a Fellow of IEEE and an IEEE Distinguished Lecturer. He has received many awards and recognitions, including Canada Research Chair, CRC President’s Excellence Award, Canadian Federal Government Public Service Award, Ontario Early Researcher Award and six IEEE Best Paper Awards. He currently serves as an Editor/Associate Editor for IEEE Transactions on Communications, IEEE Transactions on Broadcasting, and IEEE Transactions on Vehicular Technology and He was also an Associate Editor for IEEE Transactions on Wireless Communications between 2007 and 2011, and IEEE Wireless Communications Letters between 2011 and 2016. He was involved in many IEEE conferences including GLOBECOM, ICC, VTC, PIMRC, WCNC and CWIT, in different roles such as symposium chair, tutorial instructor, track chair, session chair and TPC co-chair. Dr. Wang is currently serving as a member of IEEE Fellow Committee.



Prof. Huaiyu Dai, NC State University, USA
IEEE Fellow 

Huaiyu Dai (F’17) received the B.E. and M.S. degrees in electrical engineering from Tsinghua University, Beijing, China, in 1996 and 1998, respectively, and the Ph.D. degree in electrical engineering from Princeton University, Princeton, NJ in 2002.
He was with Bell Labs, Lucent Technologies, Holmdel, NJ, in summer 2000, and with AT&T Labs-Research, Middletown, NJ, in summer 2001. He is currently a Professor of Electrical and Computer Engineering with NC State University, Raleigh, holding the title of University Faculty Scholar. His research interests are in the general areas of communications, signal processing, networking, and computing. His current research focuses on machine learning and artificial intelligence for communications and networking, multilayer and interdependent networks, dynamic spectrum access and sharing, as well as security and privacy issues in the above systems.
He has served as an editor for IEEE Transactions on Communications, IEEE Transactions on Signal Processing, and IEEE Transactions on Wireless Communications. Currently he is an Area Editor in charge of wireless communications for IEEE Transactions on Communications, and a member of the Executive Editorial Committee for IEEE Transactions on Wireless Communications. He was a co-recipient of best paper awards at 2010 IEEE International Conference on Mobile Ad-hoc and Sensor Systems (MASS 2010), 2016 IEEE INFOCOM BIGSECURITY Workshop, and 2017 IEEE International Conference on Communications (ICC 2017).


Prof. Liu Chi, Beijing Institute of Technology, China

IET, Fellow of British Computer Society and Chinese Institute of Electronics Fellow

Prof. Chi (Harold) Liu receives a Ph.D. degree in Electronic Engineering from Imperial College, UK in 2010, and a B.Eng. degree in Electronic and Information Engineering from Tsinghua University, China in 2006. He is currently a Full Professor and Vice Dean at the School of Computer Science and Technology, Beijing Institute of Technology, China. Before moving to academia, he worked for IBM Research - China as a staff researcher and project manager from 2010 to 2013, worked as a postdoctoral researcher at Deutsche Telekom Laboratories, Germany in 2010, and as a Research Staff Member at IBM T. J. Watson Research Center, USA in 2009. His current research interests include the big data analytics, mobile computing, and machine learning. He received the IBM First Plateau Invention Achievement Award in 2012, ACM SigKDD'21 Best Paper Runner-up Award, and IEEE DataCom'16 Best Paper Award. He has published more than 100 prestigious conference and journal papers and owned 26 EU/UK/US/Germany/Spain/China patents. He serves as the Associate Editor for IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING, Area Editor for KSII Trans. on Internet and Information Systems, the Symposium Chair for IEEE ICC 2020 on Next Generation Networking, and served as the (Lead) Guest Editor for IEEE Transactions on Emerging Topics in Computing and IEEE Sensors Journal. He was the book editor for 11 books published by Taylor \& Francis Group, USA and China Machine Press, China. He also has served as the general chair of IEEE SECON'13 workshop on IoT Networking and Control, IEEE WCNC'12 workshop on IoT Enabling Technologies, and ACM UbiComp'11 Workshop on Networking and Object Memories for IoT. He was a consultant to Asian Development Bank, Bain & Company, and KPMG, USA, and the peer reviewer for Qatar National Research Foundation, National Science Foundation, China, Ministry of Education and Ministry of Science and Technology, China. He is a senior member of IEEE and a Fellow of IET, British Computer Society, and Royal Society of Arts.

Title: Energy-Efficient 3D Vehicular Crowdsourcing for Disaster Response by Distributed Deep Reinforcement Learning (Click here for Abstract)


Prof. Wang Xin, Tianjin University, China

Xin Wang is a full professor at College of Intelligence and Computing and the vice-dean of School of Artificial Intelligence, Tianjin University. He obtained his Ph.D. and Bachelor degrees in Computer Science from Nankai University in 2009 and 2004, respectively, and worked as a visiting scholar at the University of Western Australia and Griffith University. He is a distinguished member of China Computer Federation (CCF), and the secretary-general of CCF Technical Committee on Information Systems, an executive member of CCF Technical Committee on Databases. His research interests include knowledge graph data management, large-scale graph databases, and big data processing. He has been the principal investigator of the National Key Research and Development Project of China, and three research projects funded by the National Natural Science Foundation of China (NSFC). He has published more than 100 research papers in various international conferences and journals, including IEEE TKDE, IEEE TPDS, ICDE, IJCAI, AAAI, WWW, CIKM, ISWC. He served as a PC co-chair of APWeb-WAIM’20, PC co-chair of JIST’19, and PC members of WWW, KDD, AAAI, CIKM, ISWC, etc. He won the best paper award in APWeb-WAIM 2021, the best poster award in ISWC 2020, and the best demo award in ADMA 2019. He is an associate editor of the journal of Knowledge-Based Systems and editor of the journal of Big Data Research.

Title: Knowledge Graph Data Management: State of the Art (Click here for Abstract)


Prof. Weidong Li, University of Shanghai for Science and Technology, China

Professor Weidong Li is the dean of the mechanical engineering school at University of Shanghai for Science and Technology. He obtained his PhD degree in mechanical engineering from National University of Singapore in 2002. He worked for Singapore Institute of Manufacturing Technology, Bath University, Cranfield University and Coventry University (become a full professor in 2013). His research areas are smart manufacturing and sustainable manufacturing enabled by big data analytics. In the areas, he has led over 20 major R&D projects sponsored by European Commission, EPSRC (UK), Innovate UK (UK), NSFC (China) and industries like Airbus, Jaguar Land Rover, Sandvik, to name a few. He published five books (Springer) and over 200 research papers in the international journals and conferences. He received two “industrial success story” awards from European Commission, two “best paper” awards from two international journals, and four “best paper” awards from international conferences in the UK, USA, Portugal and China. He is an associate editor for five international journals.

Title: Big Data Driven Smart Manufacturing (Click here to Abstract)


Prof. Yongsheng Ma, Southern University of Science and Technology, China

Dr. Yongsheng Ma has been a full professor at Southern University of Science and Engineering in Shenzhen, China since July, 2021. Before that he had been a full professor at University of Alberta where he had joined since 2007. Dr. Ma is also a member of ASME, ASEE, SME, SPE, CSME and an Alberta registered Professional Engineer (P.Eng.). His main research areas include engineering informatics for design and manufacturing, CADCAM, and product lifecycle management. Dr. Ma received his B.Eng. from Tsinghua University, Beijing (1986), both M.Sc. (1990) and Ph.D. (1994) from UMIST, UK. In 2000-2007, he was an associate professor with Nanyang Technological University, Singapore. Dr. Ma started career as a Ngee Ann Polytechnic lecturer in Singapore (1993); and then a senior research fellow and group manager (1996-2000) at Singapore Institute of Manufacturing Technology. Dr. Ma has published more than 200 internationally recognized top journal and conference papers, and two specialty books. Dr. Ma had been an associate editor of IEEE Transaction of Automation Science and Engineering (2009-2013). In 2012, he won the prestigious ASTech award sponsored by The Alberta Science and Technology Leadership Foundation together with Drader Manufacturing Ltd. Dr. Ma had been engaged for collaboration with many academic institutions and industrial partners internationally. 2019-2020, Dr. Ma had been a visiting professor of SUSTech (China). Since 2020, Dr. Ma has become an associate editor for Advanced Engineering Informatics (Elsevier), ASME Journal of Computer Information Science and Engineering (JCISE), and Frontiers in Mechanical Engineering – Digital Manufacturing (Frontiers, open access). He also serves as an Editorial Member for Scientific Reports published by Springer Nature.

Title: AI challenges and applications in Industry: From framework to deeper data associativity and interoperability (Click here for abstract)