Keynote Speakers

Keynote Speaker I

Prof. Changxu Wu
Tsinghua University, China

Dr. Changxu Wu received his Ph.D. degree in Industrial and Operational Engineering from the University of Michigan-Ann Arbor (2007). He is a full professor of Department of Industrial Engineering in Tsinghua University, China since 2020.  From 2017-2020, he was a professor of Department of Systems and Industrial Engineering University of Arizona. Dr. Wu directs the Cognitive System Lab and he is interested in integrating cognitive science and engineering system design, especially modeling human cognition system with its applications in system design, improving transportation safety, promoting human performance in human-computer interaction, and inventing innovative sustainable and smart energy systems with human in the loop. Dr. Wu has published 116 papers in the field including 80 journal papers, 36 conference papers, 1 book chapter, and 2 patents in intelligent system design authorized. The journal papers include IEEE Transactions on Systems, Man, and Cybernetics (Part A), IEEE Transactions on Intelligent Transportations Systems, Psychological Review (Impact Factor: 9.02), ACM Transactions on Computer-Human Interaction, International Journal of Human-Computer Studies, as well as several other journals. He was the Chair of Human Performance Modeling Technical Group of Human Factors and Ergonomics Society (HFES) in USA. He is also Associate Editors for IEEE Transactions on Intelligent Transportations Systems, IEEE Transaction on Human-Machine Systems, and Behaviour & Information Technology. He received the Senior Researcher of the Year Award from the Dean of School the Engineering & Applied Sciences at SUNY Buffalo and Outstanding Student Instructor Award from the American Society of Engineering Education (ASEE).

Keynote Speaker II

Prof. Rajkumar Buyya
Director, Cloud Computing and Distributed Systems (CLOUDS) Lab,
The University of Melbourne, Australia

Dr. Rajkumar Buyya is a Redmond Barry Distinguished Professor and Director of the Cloud Computing and Distributed Systems (CLOUDS) Laboratory at the University of Melbourne, Australia. He is also serving as the founding CEO of Manjrasoft, a spin-off company of the University, commercializing its innovations in Cloud Computing. He has authored over
750 publications and seven text books including "Mastering Cloud Computing" published by McGraw Hill, China Machine Press, and Morgan Kaufmann for Indian, Chinese and international markets respectively. Dr. Buyya is one of the highly cited authors in computer science and software engineering worldwide (h-index=137, g-index=304, 100,600+ citations).  "A Scientometric Analysis of Cloud Computing Literature" by German scientists ranked Dr. Buyya as the World's Top-Cited (#1) Author and the World's Most-Productive (#1) Author in Cloud Computing.
Dr. Buyya is recognised as Web of Science “Highly Cited Researcher” for four consecutive years since 2016, IEEE Fellow, Scopus Researcher of the Year 2017 with Excellence in Innovative Research Award by Elsevier, and the “Best of the World”, in Computing Systems field, by The Australian 2019 Research Review.

Software technologies for Grid, Cloud, and Fog computing developed under Dr.Buyya's leadership have gained rapid acceptance and are in use at several academic institutions and commercial enterprises in 50 countries around the world. Dr. Buyya has led the establishment and development of key community activities, including serving as foundation Chair of the IEEE Technical Committee on Scalable Computing and five IEEE/ACM conferences. These contributions and international research leadership of Dr. Buyya are recognized through the award of "2009 IEEE Medal for Excellence in Scalable Computing" from the IEEE Computer Society TCSC. Manjrasoft's Aneka Cloud technology developed under his leadership has received "Frost & Sullivan New Product Innovation Award". He served as founding Editor-in-Chief of the IEEE Transactions on Cloud Computing. He is currently serving as Editor-in-Chief of Software: Practice and Experience, a long standing journal in the field established ~50 years ago. For further information on Dr.Buyya, please visit his cyberhome:

Keynote Speaker III

Prof. Yao Liang
Purdue University School of Science,
Indiana University Purdue University, USA

Yao Liang received his B.S. degree inComputer Engineering and M.S. degree in Computer Science from Xi’an JiaotongUniversity, Xi’an, China. He received his Ph.D. degree in Computer Science fromClemson University, Clemson, USA, in 1997. Heis currently a Professor in the Department of Computer and Information Science,Purdue University School of Science, Indiana University Purdue University,Indianapolis (IUPUI), USA. His research interests include wireless sensornetworks, Internet of Things, cyberinfrastructure, multimedia networking,adaptive network control and management, machine learning, neural networks, datamining, data management and integration, data engineering, and distributedsystems. His research projects have been funded by NSF. Prior to joining IUPUI,he was on the faculty of Department of Electrical and Computer Engineering at VirginiaTech, USA. He also had extensive industrial R&D experiences as a TechnicalStaff Member in Alcatel USA. Dr. Liang has published numerous papers on variousprestigious journals and international conferences, and received two USpatents. He has received the 2019 Glenn W. Irwin, Jr., M.D., Research ScholarAward at IUPUI. He has served regularly on Program Committees for various majorinternational conferences, and served as a reviewer for numerous prestigiousjournals. Dr. Liang has given invited talks and lectures at variousuniversities in US, Europe and China. He is a Senior Member of IEEE, and aMember of ACM.

Invited Speakers

Invited Speaker I

Dr. Sheng Li
University of Georgia (UGA), USA

Dr. Sheng Li is a Tenure-Track Assistant Professor of Computer Science at the University of Georgia (UGA). He is the Director of Reasoning and Knowledge Discovery Lab at UGA. Before joining UGA in 2018, he was a Research Scientist at Adobe Research. He obtained the Ph.D. degree in computer engineering from Northeastern University in 2017. Dr. Li's research interests include graph-based machine learning, deep learning, user behavior modeling, visual intelligence, and causal inference. He has published over 100 papers at peer-reviewed conferences and journals, and has received over 10 research awards, such as the INNS Aharon Katzir Young Investigator Award, M. G. Michael Award, Adobe Data Science Research Award, and SIAM SDM Best Paper Award. He has served as Associate Editor of six international journals such as IEEE Transactions on Circuits and Systems for Video Technology, IEEE Computational Intelligence Magazine and Neurocomputing, and also served as area chair of ICPR and senior program committee member of AAAI and IJCAI. He is a senior member of IEEE.




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Contact Method

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BDE 2022 conference secretary


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