Keynote Speaker I
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: www.buyya.com.
Keynote Speech Title: New Frontiers in Cloud and Edge Computing for Big Data & Internet-of-Things Applications
Abstract: Computing is being
transformed to a model consisting of services that are
delivered in a manner similar to utilities such as
water, electricity, gas, and telephony. In such a model,
users access services based on their requirements
without regard to where the services are hosted or how
they are delivered. Cloud computing paradigm has turned
this vision of "computing utilities" into a reality. It
offers infrastructure, platform, and software as
services, which are made available to consumers as
subscription-oriented services. Cloud application
platforms need to offer (1) APIs and tools for rapid
creation of elastic applications and (2) a runtime
system for deployment of applications on geographically
distributed computing infrastructure in a seamless
The Internet of Things (IoT) paradigm enables seamless integration of cyber-and-physical worlds and opening up opportunities for creating new class of applications for domains such as smart cities and smart healthcare. The emerging Fog/Edge computing paradigm is extends Cloud computing model to edge resources for latency sensitive IoT applications with a seamless integration of network-wide resources all the way from edge to the Cloud.
This keynote presentation will cover (a) 21st century vision of computing and identifies various IT paradigms promising to deliver the vision of computing utilities; (b) innovative architecture
for creating elastic Clouds integrating edge resources and managed Clouds, (c) Aneka, a Cloud Application Platform, for rapid development of Cloud/Big Data applications and their deployment on private/public Clouds with resource provisioning driven by SLAs, (d) a novel FogBus software framework with Blockchain-based data-integrity management for facilitating end-to-end IoT-Fog/Edge-Cloud integration for execution of sensitive IoT applications, (e) experimental results on deploying Cloud and Big Data/ IoT applications in engineering, and health care, satellite image processing, and smart cities on elastic Clouds; and (f) directions for delivering our 21st century vision along with pathways for future research in Cloud and Edge/Fog computing.
Keynote Speaker II
IEEE Life Fellow, Prof. Kai Hwang
Chinese University of Hong Kong, Shenzhen, China
Prof. Kai Hwang is presently a Presidential Chair Professor in Computer Science and Engineering at the Chinese University of Hong Kong (CUHK), Shenzhen, China. He also serves as a Chief Scientist at the Cloud Computing Center, Chinese Academy of Sciences. He has taught at the University of Southern California and at Purdue University for many years prior joining CUHK. He received the Ph.D. in Electrical Engineering and Computer Science from UC Berkeley in 1972. Dr. Hwang has published extensively in the fields of computer architecture, parallel processing, cloud computing, and network security.
By 2018, his Google Scholar citation has exceeded 17,828 with an h-index of 55. His latest two books appeared in 2017: Cloud Computing for Machine Learning and Cognitive Applications (The MIT Press) and Big Data Analytics for Cloud/IoT and Cognitive Computing (Wiley, U.K.). The Chinese editions are both available from Huazhang Press in Beijing. An IEEE Life Fellow, he received the Outstanding Achievement Award from the Computer Federation of China in 2004. He received the Lifetime Achievement Award from the IEEE CloudCom 2012 for his pioneering work in parallel computing and distributed systems. He has delivered numerous keynotes or distinguished lectures in many Conferences or research centers. Dr. Hwang has performed consulting work with IBM, MIT Lincoln Lab, Chinese Academy of Sciences, and INRIA in France. He has served as a visiting chair professor at Tsinghua University and Hong Kong University.
Keynote Speaker III
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 IV
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.