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Keynote Speakers 2022 大会主旨报告

F. Richard Yu, Carleton University, Canada
Professor, FIEEE, FCAE, FEIC, FIET

Prof. F. Richard Yu received the PhD degree in electrical engineering from the University of British Columbia (UBC) in 2003. From 2002 to 2006, he was with Ericsson (in Lund, Sweden) and a start-up (in San Diego, CA, USA), where he worked on the research and development in the areas of advanced wireless communication technologies and new standards. He joined Carleton School of Information Technology and the Department of Systems and Computer Engineering (cross-appointment) at Carleton University, Ottawa, in 2007, where he is currently a Professor. His research interests include cyber-security, connected and autonomous vehicles, artificial intelligence, blockchain, and wireless systems. He has published 600+ papers in reputable journals/conferences, 8 books, and 28 granted patents, with 10,000+ citations (Google Scholar). He received the IEEE TCGCC Best Journal Paper Award in 2019, Distinguished Service Awards in 2019 and 2016, Outstanding Leadership Award in 2013, Carleton Research Achievement Awards in 2012 and 2021, the Ontario Early Researcher Award (formerly Premiers Research Excellence Award) in 2011, the Excellent Contribution Award at IEEE/IFIP TrustCom 2010, the Leadership Opportunity Fund Award from Canada Foundation of Innovation in 2009 and the Best Paper Awards at IEEE ICNC 2018, VTC 2017 Spring, ICC 2014, Globecom 2012, IEEE/IFIP TrustCom 2009 and Int'l Conference on Networking 2005.

He serves on the editorial boards of several journals, including Co-Editor-in-Chief for Ad Hoc & Sensor Wireless Networks, Lead Series Editor for IEEE Transactions on Vehicular Technology, IEEE Communications Surveys & Tutorials, and IEEE Transactions on Green Communications and Networking. He has served as the Technical Program Committee (TPC) Co-Chair of numerous conferences. He is a ``Highly Cited Researcher" according to Web of Science since 2019. He is an IEEE Distinguished Lecturer of both Vehicular Technology Society (VTS) and Comm. Society. He is an elected member of the Board of Governors of the IEEE VTS and Editor-in-Chief for IEEE VTS Mobile World newsletter. He is a Fellow of the IEEE, Canadian Academy of Engineering (CAE), Engineering Institute of Canada (EIC), and Institution of Engineering and Technology (IET).

 

 

Prof. Hong Shen
China National Endowed Expert, Sun Yat-sen University, China

Hong Shen is a specially-appointed Professor in Sun Yat-sen University, China, where he was the foundation Director of SYSU's Institute for Advanced Computing. He is also an Adjunct Professor in the University of Adelaide, Australia, where he was a tenured Professor (Chair of Computer Science) for 15 years. He received the BS degree from Beijing University of Science and Technology, MS degree from University of Science and Technology of China, and PhD degree from Abo Akademi University, Finland. Dr Shen was Professor and Chair of the Computer Networks Laboratory in Japan Advanced Institute of Science and Technology (JAIST), and Professor of Computer Science at Griffith University. With main research interests in parallel and distributed computing, privacy preserving computing and high performance networks, he has led numerous research centers and projects in different countries. He has published 400+ papers including over 100 papers in major international journals such as a variety of IEEE and ACM transactions. Dr. Shen received many honors and awards, and served on different roles in professional societies, journal editorial boards and conference committees.

 

 

Invited Speaker 大会特邀报告

Prof. Long Yuan,
Nanjing University of Science and Technology, China

 

Long Yuan is currently a professor in School of Computer Science and Engineering, Nanjing University of Science and Technology, China. He received his PhD degree from the University of New South Wales, Australia, M.S. degree and B.S. degree both from Sichuan University, China. His research interests include graph data management and analysis. He has published more than 30 papers in top conferences and journals including VLDB, ICDE, WWW, The VLDB Journal, and TKDE.

 

 

Prof. Yiming Zhang,
Fuzhou University, China

 

Dr. Yiming Zhang is a full professor with Fuzhou University. He received the B.S. and Ph.D. degrees in electrical engineering from Tsinghua University. He has authored 1 book from Springer, authored or co-authored more than 70 technical papers in journals and conference proceedings. His research interests include wireless power transfer for electric vehicles and mobile phones, and resonant converters. He is the recipient of the National Youth Talent Program and the First-Prize Outstanding Doctoral Dissertations of Tsinghua University. He was recognized as an Outstanding Reviewer for IEEE TPEL and TIE.

 

 

Assoc. Prof. Genevera Allen,
Rice University, US

 

Genevera Allen is an Associate Professor of Electrical and Computer Engineering, Statistics, and Computer Science at Rice University and an investigator at the Jan and Dan Duncan Neurological Research Institute at Texas Children’s Hospital and Baylor College of Medicine. She is also the Founder and Faculty Director of the Rice Center for Transforming Data to Knowledge, informally called the Rice D2K Lab.

Dr. Allen’s research focuses on developing statistical machine learning tools to help people make reproducible data-driven discoveries. Her work lies in the areas of interpretable machine learning, data integration, modern multivariate analysis, and graphical models with applications in neuroscience and bioinformatics. In 2018, Dr. Allen founded the Rice D2K Lab, a campus hub for experiential learning and data science education.

Dr. Allen is the recipient of several honors for both her research and teaching including a National Science Foundation Career Award, Rice University’s Duncan Achievement Award for Outstanding Faculty, and the George R. Brown School of Engineering’s Research and Teaching Excellence Award; in 2014, she was named to the “Forbes ’30 under 30′: Science and Healthcare” list. Dr. Allen received her Ph.D. in statistics from Stanford University (2010), under the mentorship of Prof. Robert Tibshirani, and her bachelors, also in statistics, from Rice University (2006).

 

 

Assoc. Prof. Jie Cheng,
Shandong University, China

 

Jie Cheng, associate professor at the School of Mechanical, Electrical and Information Engineering, Shandong University, Weihai. She received the Ph.D. degree in Computer Science and Technology from Shandong University. Her research interests are in the application of data science and software engineering. Her main research topics are data engineering in the field of marine environments and EV-BIGDATA.

 

 

Assoc. Prof. Weijing Song,

China University of Geosciences, China

 

Weijing Song Dr. Song is an associate professor of the School of Computer Science, China University of Geosciences. She received D. E. from the Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences. She has published more than 20 papers and acquired three provincial science and technology prize. Her research interests include spatial-temporal big data processing, urban geologic hazard, remote sensing image processing.

 

 

Assoc. Prof. Hailiang Li,
Jinan University, China

 

Hailiang Li, member of Jiusan Society, doctor of engineering, associate professor and master tutor of Jinan University. Graduated from Sun Yat sen University in 2018. Visiting scholar of City University of Hong Kong. Tutor of off campus Cooperative Graduate Students of Guangdong University of technology. His research interests include in-depth learning, image recognition, intelligent comprehensive energy and energy big data. He has published 6 SCI papers in top journals such as IEEE Transactions on neural networks and learning systems and information fusion, presided over 2 provincial projects, and participated in 1 National Natural Science Foundation project. Reviewers of SCI journals such as IEEE Internet of things journal, International Journal of communication systems, Iet computer vision, Iet image processing and IET radar, sonar & navigation.