2024 International Conference on Cloud Computing, Performance Computing and Deep Learning(CCPCDL 2024)




Prof. Wanyang Dai

Nanjing University, China

Bio: Wanyang Dai is a Distinguished Professor at Nanjing University and, Chief Scientist in Su Xia Control Technology. He is the current President & CEO of the U.S.-based (Blockchain & Quantum-Computing) SIR Forum, President of Jiangsu Probability & Statistical Society, and Chairman of Jiangsu BigData-Blockchain and Smart Information Special Committee. He received his Ph.D. in mathematics and systems & industrial engineering from Georgia Institute of Technology in USA. He was an MTS and principal investigator in U.S.-based AT&T Bell Labs (currently Nokia Bell Labs) with some project won “Technology Transfer” now called cloud system. He was the Chief Scientist at DepthsData Digital Economic Research Institute. He published numerous influential papers in big-name journals including Quantum Information Processing, Operations Research, Operational Research, Queueing Systems, Computers & Mathematics with Applications, Communications in Mathematical Sciences, and Journal of Computational and Applied Mathematics. He received various academic awards and has presented over 50 keynote/plenary speeches in IEEE/ACM, big data and cloud computing, quantum computing and communication technology, computational and applied mathematics, biomedical engineering, mathematics & statistics, and other international conferences. He has been serving as IEEE/ACM conference chair, editor-in-chief, and editorial board member for various international journals ranging from artificial intelligence, machine learning, data science, wireless communication, pure mathematics & statistics to their applications.


Prof. Xiangjie Kong

Zhejiang University of Technology, China

Bio: Dr. Xiangjie Kong is currently a Full Professor in the College of Computer Science & Technology, Zhejiang University of Technology (ZJUT), China. Previously, he was an Associate Professor in the School of Software, Dalian University of Technology (DUT), China, where he was the Head of the Department of Cyber Engineering. He is the Founding Director of the City Science of Social Computing Lab (The CSSC Lab) (http://cssclab.cn/). He is/was on the Editorial Boards of 6 International journals. He has served as the General Co-Chair, Workshop Chair, Publicity Chair, or Program Committee Member of over 30 conferences. Dr. Kong has authored/co-authored over 140 scientific papers in international journals and conferences including IEEE TKDE, ACM TKDD, IEEE TNSE, IEEE TII, IEEE TITS, IEEE NETW, IEEE COMMUN MAG, IEEE TVT, IEEE IOJ, IEEE TSMC, IEEE TETC, IEEE TASE, IEEE TCSS, WWWJ, etc.. 5 of his papers is selected as ESI- Hot Paper (Top 1‰), and 16 papers are ESI-Highly Cited Papers (Top 1%).  His research has been reported by Nature Index and other media. He has been invited as Reviewers for numerous prestigious journals including IEEE TKDE, IEEE TMC, IEEE TNNLS, IEEE TNSE, IEEE TII, IEEE IOTJ, IEEE COMMUN MAG, IEEE NETW, IEEE TITS, TCJ, JASIST, etc.. Dr. Kong has authored/co-authored three books (in Chinese). He has contributed to the development of 14 copyrighted software systems and 20 filed patents. He has an h-index of 36 and i10-index of 87, and a total of more than 4200 citations to his work according to Google Scholar. He was named in the 2019 and 2020 world’s top 2% of Scientists List published by Stanford University. Dr. Kong received the IEEE Vehicular Technology Society 2020 Best Land Transportation Paper Award and The Natural Science Fund of Zhejiang Province for Distinguished Young Scholars. He has been invited as a Keynote Speaker at 2 international conferences and delivered many Invited Talks at international conferences and many universities worldwide.  His research interests include big data, network science, and computational social science. He is a Distinguished Member of CCF, a Senior Member of IEEE, a Full Member of Sigma Xi, and a Member of ACM.



Karpagam College of Engineering, Anna University, Chennai, India

Bio: Kannimuthu Subramaniyam is currently working as a Professor in the Department of Computer Science and Engineering at Karpagam College of Engineering, Coimbatore, Tamil Nadu, India. He is also in charge of the Center of Excellence in Algorithms. He is an IBM Certified Cybersecurity Analyst. He did PhD in Computer Science and Engineering at Anna University, Chennai. He did his M.E (CSE) and B.Tech (IT) at Anna University, Chennai. He has more than 15 years of teaching and industrial experience. He is the recognized supervisor of Anna University, Chennai. Two Ph.D. candidate completed their research under his guidance. He is now guiding 7 PhD Research Scholars. He has published 54 research articles in various International Journals. He published 2 books ("Artificial Intelligence" & “LinkedList Demystified-A Placement Perspective” and 3 Book Chapters (WOS / Scopus Indexed). He is acting as a mentor/consultant for DeepLearning.AI, Hubino, MaxByte Technologies, and Dhanvi Info Tech, Coimbatore. He is an expert member of AICTE Student Learning Assessment Project (ASLAP). He has presented several papers at various National and International conferences. He has visited more than 75 Engineering colleges and delivered more than 125 Guest Lectures on various topics. He is the reviewer for 35 Journals and 3 Books. He has completed the consultancy project through Industry-Institute Interaction for ZF Wind Power Antwerpen Ltd., Belgium. He has received funds from CSIR, DRDO, and ISRO to conduct workshops and seminars. He has completed more than 610 Certifications (41 Specializations and 4 Professional Certifications) in Coursera, Hackerrank, and NPTEL on various domains. He has guided several research-oriented as well as application-oriented projects organized by well-known companies like IBM. He is actively involved in setting up the lab for Cloud Computing, Big Data Analytics, Open-Source Software, Internet Technologies, etc., His research interests include Artificial Intelligence, Data Structures and Algorithms, Machine Learning, Big Data Analytics, Virtual Reality & Blockchain.