BDML 2020
 

Third international conference on Big Data and Machine Learning provided a high-profile platform to converge the latest discoveries in Big Data and Machine Learning around the world. Due to the Covid-19 pandemic, the organizing committee has made the difficult decision to reschedule the conference to a virtual event during November 13-15, 2020.

Conference Photos:

Conference General Chair
Prof. Tianrui Li, Southwest Jiaotong University, China
 
Conference Local Chair
Prof. Yan Yang, Southwest Jiaotong University, China
 
Keynote Speaker I

Prof. Yao Liang, Indiana University-Purdue University Indianapolis, USA
 

Keynote Speaker II

Prof. Changsheng Xu, Chinese Academy of Sciences, China
ACM Distinguished Scientist, IEEE Fellow, and IAPR Fellow

Keynote Speaker III

Prof. Andrew Sung, The University of Southern Mississippi, USA

 

Keynote Speaker III
Prof. Rajkumar Buyya, The University of Melbourne, Australia
IEEE Fellow, Director, Cloud Computing and Distributed Systems (CLOUDS) Laboratory

 

  
Q&A Section

 

Q&A Section
 
    Q&A Section
 

 


 

 


 
Parallel sessions   Parallel sessions

 

◊ Best Paper Presentation:

Session 1: Image Processing Technology and Application
Zhiwei Feng

Zhengzhou University & PLA Strategy Support Force Information Engineering University, China
LE2020: Multi-dimensional Spatial Attention Residual U-net (MSARU-net) for Low-dose Lung CT Image Restoration

Session 2: Target Detection and Pattern Recognition
Kazuya Ueki
Meisei University, Japan
LE2006: Automatic Evaluation of Difficult-to-Recognize Characters for Efficient Transcription of Japanese Cursive Characters

Session 3: Machine Learning and Intelligent Computing
Oliver Alvarado Rodriguez
William Paterson University of New Jersey, USA
L3014: A Study of Machine Learning Inference Benchmarks
 


Speakers:

Prof. Rajkumar Buyya
Director, Cloud Computing and Distributed Systems (CLOUDS) Laboratory

The University of Melbourne, Australia

Speech Title: Neoteric Frontiers in Cloud and Edge Computing  (View the speech abstract)
 

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 served as a Future Fellow of the Australian Research Council during 2012-2016. He has authored over 625 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. He also edited several books including "Cloud Computing: Principles and Paradigms" (Wiley Press, USA, Feb 2011). He is one of the highly cited authors in computer science and software engineering worldwide (h-index=118, g-index=255, 72,200+ citations). Microsoft Academic Search Index ranked Dr. Buyya as #1 author in the world (2005-2016) for both field rating and citations evaluations in the area of Distributed and Parallel Computing. "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 recognized as a "2016 Web of Science Highly Cited Researcher" by Thomson Reuters, a Fellow of IEEE, and Scopus Researcher of the Year 2017 with Excellence in Innovative Research Award by Elsevier for his outstanding contributions to Cloud computing.

Software technologies for Grid and Cloud computing developed under Dr. Buyya's leadership have gained rapid acceptance and are in use at several academic institutions and commercial enterprises in 40 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 "2010 Frost & Sullivan New Product Innovation Award". Recently, Dr. Buyya
received "Mahatma Gandhi Award" along with Gold Medals for his outstanding and extraordinary achievements in Information Technology field and services rendered to promote greater friendship and India-International cooperation. He served as the founding Editor-in-Chief of the IEEE Transactions on Cloud Computing. He is currently serving as Co-Editor-in-Chief of Journal of Software: Practice and Experience, which was established over 45 years ago. For further information on Dr.Buyya, please visit his cyberhome: www.buyya.com.
 

Prof. Changsheng Xu,

Chinese Academy of Sciences, China
ACM Distinguished Scientist, IEEE Fellow, and IAPR Fellow

Speech Title: Connecting Isolated Social Multimedia Big Data (View the speech abstract)

 

Changsheng Xu is a distinguished professor of Institute of Automation, Chinese Academy of Sciences. His research interests include multimedia content analysis/indexing/retrieval, pattern recognition and computer vision. He has hold 50 granted/pending patents and published over 400 refereed research papers including 100+ IEEE/ACM Trans. papers in these areas.
Prof. Xu is Editor-in-Chief of Multimedia Systems. He serves/served Associate Editor of IEEE Trans. on Multimedia and ACM Trans. on Multimedia Computing, Communications and Applications. He received the Best Paper Awards of ACM Multimedia 2016 and 2016 ACM Trans. on Multimedia Computing, Communications and Applications. He served as Program Chair of ACM Multimedia 2009. He has served as associate editor, guest editor, general chair, program chair, area/track chair, special session organizer, session chair and TPC member for over 20 IEEE and ACM prestigious multimedia journals, conferences and workshops. He is an ACM Distinguished Scientist, IEEE Fellow, and IAPR Fellow.
 

Prof. Yao Liang

Indiana University-Purdue University Indianapolis, USA

Speech Title: Multiresolution Learning Paradigm of Neural Networks: A 20-Year’s Perspective  (View the speech abstract)

Prof. Yao Liang is 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 sensor networks, Internet of Things, cyberinfrastructure, multimedia networking, adaptive network control and management, machine learning, neural networks, data management and integration, data engineering, and distributed systems. 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 Virginia Tech, USA. He also had extensive industrial R&D experiences as a Technical Staff Member in Alcatel USA. Dr. Liang has published numerous papers on various prestigious journals and international conferences, and received two US patents. He has received the 2019 Glenn W. Irwin, Jr., M.D., Research Scholar Award, IUPUI. He has served regularly on Program Committees for various major international conferences, and served as a reviewer for numerous prestigious journals. He was a General Co-Chair of The 2019 International Conference on Big Data Engineering (BDE 2019) held in Hong Kong, June 11-13, 2019. Dr. Liang has given invited talks and lectures at various universities in US, Europe and China. He is a Senior Member of IEEE, and a Member of ACM.




Prof. Andrew Sung

The University of Southern Mississippi, USA

Speech Title: Multimedia Forensics for Manipulated Image, Audio, and Video  (View the speech abstract)


Andrew H. Sung
received B.S. degree in Electrical Engineering from National Taiwan University, M.S. degree in Mathematical Sciences from University of Texas at Dallas, and Ph.D. degree in Computer Science from State University of New York at Stony Brook. He has been a faculty of Computer Science, Computer Engineering, Information Technology, and Management in three public research universities in the U.S. for over 30 years. He has supervised more than a dozen Ph.D. students and has served as the PI or co-PI of dozens of grants and contracts funded by government agencies and industry, with total funding of more than ten million USD. Since 2014, he has been the Director and Professor of the School of Computing Sciences and Computer Engineering at the University of Southern Mississippi.
Dr. Sung has over 250 publications and his current research interest includes computational intelligence, big data analytics and mining, cybersecurity, multimedia forensics, and blockchain. He has delivered keynote, plenary, and invited lectures in several international conferences and workshops in the U.S., Europe, South America, and India.