Keynote Speakers


2022 The 3rd Communication Technologies and Cloud Computing Conference

Prof. Athman Bouguettaya
IEEE Fellow
University of Sydney, Australia

Athman Bouguettaya is Professor and previous Head of School of Computer Science, at the University of Sydney, Australia. He received his PhD in Computer Science from the University of Colorado at Boulder (USA) in 1992. Before that, he was a tenured faculty member and Program director in the Computer Science department at Virginia Tech (USA). He is or has been on the editorial boards of several journals including, the IEEE Transactions on Services Computing, IEEE Transactions on Knowledge and Data Engineering, ACM Transactions on Internet Technology, The ACM Computing Surveys, the International Journal on Next Generation Computing, VLDB Journal, and Distributed and Parallel Databases Journal. He served as General Chair of 2021 IEEE ICWS and ICSOC 2020. He has published more than 280 books, book chapters, and articles in journals and conferences in the area of databases and service computing (e.g., the IEEE Transactions on Knowledge and Data Engineering, the ACM Transactions on the Web, WWW Journal, VLDB Journal, SIGMOD, ICDE, VLDB, and EDBT). He is an ACM Distinguished Speaker and IEEE Distinguished Visitor. He is a WISE Conference Fellow, a Fellow of the IEEE, a Fellow AAIA, and a Distinguished Scientist of the ACM.





Prof. De-Shuang Huang
IEEE Fellow
EIT Institute for Advanced Study & Tongji University, China

De-Shuang Huang is a Professor in Institute of Machine Learning and Systems Biology, EIT Institute for Advanced Study, China and Tongji University, China. He is currently the Fellow of the IEEE (IEEE Fellow), the Fellow of the International Association of Pattern Recognition (IAPR Fellow), the Fellow of the Asia-Pacific Artificial Intelligence Association (AAIA), and associated editors of IEEE/ACM Transactions on Computational Biology & Bioinformatics and IEEE Transactions on Cognitive and Developmental Systems, etc. He founded the International Conference on Intelligent Computing (ICIC) in 2005. ICIC has since been successfully held annually with him serving as General or Steering Committee Chair. He also served as the 2015 International Joint Conference on Neural Networks (IJCNN2015) General Chair, July12-17, 2015, Killarney, Ireland, the 2014 11th IEEE Computational Intelligence in Bioinformatics and Computational Biology Conference (IEEE-CIBCBC) Program Committee Chair, May 21-24, 2014, Honolulu, USA. He has published over 470 papers in international journals, international conferences proceedings, and book chapters. Particularly, he has published over 240 SCI indexed papers. His Google Scholar citation number is over 20500 times and H index 76. His main research interest includes neural networks, pattern recognition and bioinformatics. His main research interest includes neural networks, pattern recognition and bioinformatics.




Prof. Alexander Gammerman
Royal Holloway, University of London, UK

Professor Gammerman's current research interest lies in machine learning and, in particular, in the development of conformal predictors -- a set of novel machine learning techniques that guarantee the validity of prediction. Areas in which these techniques have been applied include medical diagnosis, drug design, forensic science, proteomics, genomics, environment, and information security. He has published about two hundred research papers and several books on computational learning and probabilistic inference.

Professor Gammerman is a Fellow of the Royal Statistical Society and a Fellow of the Royal Society of Arts. He chaired and participated in organizing committees of many international conferences and workshops on Machine Learning and Bayesian methods in Europe, Russia and in the United States. He was also a member of the editorial boards of the Law, Probability and Risk journal (2002-2009) and the Computer Journal (2003-2008). He has held visiting and honorary professorships from several universities in Europe and USA. Further details can be found at http://cml.rhul.ac.uk