Keynote Speaker I
Chair Prof. Qing Li, The Hong Kong Polytechnic University, Hong Kong (IEEE Fellow)

Qing Li is a Chair Professor and Head of the Department of Computing, the Hong Kong Polytechnic University. He received his B.Eng. from Hunan University (Changsha), and M.Sc. and Ph.D. degrees from the University of Southern California (Los Angeles), all in computer science. His research interests include multi-modal data management, conceptual data modeling, social media, Web services, and e-learning systems. He has authored/co-authored over 500 publications in these areas, with more than 27400 total citations according to Google Scholars. He is actively involved in the research community and has served as an associate editor of a number of major technical journals including IEEE Transactions on Artificial Intelligence (TAI), IEEE Transactions on Cognitive and Developmental Systems (TCDS), IEEE Transactions on Knowledge and Data Engineering (TKDE), ACM Transactions on Internet Technology (TOIT), Data Science and Engineering (DSE), World Wide Web (WWW), and Journal of Web Engineering, in addition to being a Conference and Program Chair/Co-Chair of numerous major international conferences. He also sits/sat in the Steering Committees of DASFAA, ACM RecSys, IEEE U-MEDIA, ER, and ICWL. Prof. Li is a Fellow of IEEE.

 

Keynote Speaker II
Prof. Yonghui Li, The University of Sydney, Australia (IEEE Fellow / ARC Future Fellow)

Yonghui Li is now a Professor and Director of Wireless Engineering Laboratory in School of Electrical and Information Engineering, University of Sydney. He is the recipient of the Australian Research Council (ARC)Queen Elizabeth II Fellowship in 2008 and ARC Future Fellowship in 2012. He is an IEEE Fellow for contributions to cooperative communications technologies. His current research interests are in the area of wireless communications, with a particular focus on IoT, machine to machine communications, MIMO, millimeter wave communications, channel coding techniques, game theory, machine learning and signal processing. Professor Li was an editor for IEEE transactions on communications, IEEE transactions on vehicular technology and guest editors for several special issues of IEEE journals, such as IEEE JSAC, IEEE IoT Journals, IEEE Communications Magazine. He received several best paper awards, such as ICC 2014. He has published two books, more than 2700 papers in premier IEEE journals and more than 150 papers in premier IEEE conferences. His publications have been cited more than 18000 times. He has participated in $500 Millions Australia national demonstration project “Smart Grid Smart City” and designed last mile access networks.

 

Keynote Speaker III
Prof. Ian McAndrew, Capitol Technology University, USA

Professor Ian R. McAndrew FRAeS is a very highly qualified academic with extensive experiences within industry and internationally recognised researcher with extensive teaching experience at all levels of education. Conference and Journal publication of 78 over 32 years, six books and numerous Keynote presentations around the world. Has supervised 164 students to their doctoral completion in USA, UK, Germany, Greece, Italy, Jordan, Singapore, Malaysia, UAE, Kenya and South Africa. Extensive consultancy experience internationally for multi-nations and organisations. Leading a global doctorate program of in excess of 400 students. As the Dean of Doctoral Programs at Capitol Technology University he is responsible for 35 different Doctoral Programs ranging from Cybersecurity, Analytics, Aviation, Aeronautical Science and Technology based. 

 

Keynote Speaker IV
Prof. Seifedine Kadry, Noroff University College, Norway (IEEE Senior Member / Distinguish Speaker of IEEE Computer Society)

Dr. Seifedine Kadry has a Bachelor degree in 1999 from Lebanese University, MS degree in 2002 from Reims University (France) and EPFL (Lausanne), PhD in 2007 from Blaise Pascal University (France), HDR degree in 2017 from Rouen University (France). At present his research focuses on Data Science, education using technology, system prognostics, stochastic systems, and applied mathematics. He is an IET Fellow, IETE Fellow, and IEEE Senior Member. He is a Professor of Data Science at Noroff University College, Norway.