Moderator: Prof. Kamal Karlapalem

Panelists: Prof. George Baciu, Prof. Amin Behesti, Prof. Athman Bouguettaya, Prof. Lei Chen, Prof. Christian S. Jensen, Prof. Sean Xiaoyang Wang

The web has completed more than twenty-five years and is the backbone of human productivity. Anything and everything, done, is on the web, including the web, is data captured. Thus, there is analytics with big data on the web. AI has a new focus on emulating human comprehension and actions. The panel will discuss the following aspects –

1. What is the level of comprehension we can get form analytics with big data?

2. How can we act on comprehension?

3. Does it emulate human comprehension and actions?

4. How far are we from achieving the above?

• Prof. George Baciu
  Prof. Baciu is a professor in the Department of Computing at the Hong Kong Polytechnic University. He holds degrees in Computer Science, Applied Mathematics and a PhD degree in Systems Design Engineering from University of Waterloo. He has been a member of the Waterloo Computer Graphics Lab and the Pattern Analysis and Machine Intelligence group. Prof. Baciu is the founding director of the Graphics and Multimedia Applications (GAMA) and Big Data Visual Analytics Laboratories at the Hong Kong Polytechnic University. His group conducts research in data visualization, image analysis, 3D motion capture analysis, animation, collision detection, deformable objects, geometric modeling. He has co-authored two books and over 130 papers in the area of Computer Graphics and Image Processing in top conferences, such as CVPR, ACM SIGGRAPH, Eurographics, Pacific Graphics, and top journals including IEEE TVCG, IEEE TIP, IEEE TSMC, ACM TIST, PR, TRJ. Prof. Baciu has served as chair of international conference committees such as Pacific Graphics, Virtual Reality Software and Technology (VRST), Eurographics, Computer Graphics International, CAD/Graphics, and Computer Animation and Social Agents (CASA), Cognitive Informatics. His research interests include high performance collision detection, motion synthesis and dynamics of large scale deformable surfaces for virtual clothing, geometric modeling, image processing and scalable micro-surface reconstruction. He is a member of IEEE and ACM.
  
  
  
• Prof. Amin Behesti
  Dr Amin Beheshti is the Director of AI-enabled Processes (AIP) Research Centre and the head of the Data Analytics Research Lab, Department of Computing, Macquarie University. He is also Senior Lecturer (equivalent to Associate Professor in USA) in Data Science at Macquarie University and Adjunct Academic in Computer Science at UNSW Sydney. Amin completed his PhD and Postdoc in Computer Science and Engineering in UNSW Sydney and holds a Master and Bachelor in Computer Science both with First Class Honours. In addition to his contribution to teaching activities, Amin extensively contributed to research projects; where he was the R&D Team Lead and Key Researcher in the 'Case Walls & Data Curation Foundry' and 'Big Data for Intelligence' projects. Amin has been recognized as a high-quality researcher in Big-Data/Data/Process Analytics and has been invited to serve and served as Keynote Speaker, General-Chair, PC-Chair, Organisation-Chair and program committee member of top international conferences. He is the leading author of the book entitled "Process Analytics", co-authored with other high-profile researchers in UNSW and IBM research, recently published by Springer. Amin was able to secure over $2 million research grants for AI-Enabled and Intelligence-Led projects in Banking and Education.
  
  
  
• Prof. Athman Bouguettaya
  Professor Bouguettaya is a founding member and past president of the Service Science Society, a non-profit organisation that aims to form a community of service scientists for the advancement of service science. He has published more than 220 books, book chapters, journal articles and conference papers in the area of databases and service computing; he is currently editor-in-chief of the Springer-Verlag Services Science book series; and he has served as guest editor of a number of special issues of journals including ACM Transactions on Internet Technology on Semantic Web Services, IEEE Internet Computing on Database Technology on the Web, and IEEE Transactions on Services Computing on Service Query Models. He has also served on the editorial boards of a number journals including ACM Transactions on Internet Technology, Distributed and Parallel Databases Journal, IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Services Computing, International Journal of Cooperative Information Systems, International Journal on Next Generation Computing and VLDB Journal; and as a program chair of the 2017 WISE Conference, the 2012 International Conference on Web and Information System Engineering, the 2010 and 2009 Australasian Database Conferences, the 2008 International Conference on Service Oriented Computing and the 2004 IEEE RIDE Workshop on Web Services for e-Commerce and e-Government. Professor Bouguettaya has been the recipient of several nationally competitive grants in Australia, the US, the EU, China and Qatar, as well as major industry grants from multinational companies including HP and Sun Microsystems (now Oracle). He is an ACM Distinguished Scientist, an ACM Distinguished Speaker, a Fellow of the IEEE and a member of the IEEE Fellow Nomination Committee.
  
  
  
• Prof. Lei Chen
  Lei Chen received his BS degree in Computer Science at Tian Jin University ,P.R.China(BS 94), and an MA degree in computer science at Asian Institute of Technology (AIT) Asian Institute of Technology (MS 97). He received a Ph.D. degree in Computer Science at University of Waterloo. Lei Chen is an IEEE Fellow and ACM Distinguished Scientist.
  
  
  
• Prof. Christian S. Jensen
  Christian S. Jensen is Professor of Computer Science at Aalborg University, Denmark. His research concerns analytics, data management, and data-intensive systems, and its focus is on temporal and spatio-temporal analytics, including machine learning, data mining, and query processing. Christian is an ACM and IEEE Fellow, and he is a member of Academia Europaea, the Royal Danish Academy of Sciences and Letters, and the Danish Academy of Technical Sciences. He has received several national and international awards for his research, most recently the 2019 IEEE TCDE Impact Award. He serves on the board of Villum Fonden, a major funder of technical and natural science research in Denmark; he is President of the steering committee of the Swiss National Research Program on Big Data; and in Germany, he serves on the scientific advisory board the Max Planck Institute for Informatics. He is Editor-in-Chief of ACM Transactions on Database Systems.
  
  
  
• Prof. Sean Xiaoyang Wang
  Xiaoyang Sean Wang is Professor at the School of Compute Science, Fudan University. He received his PhD degree in Computer Science from the University of Southern California, USA. Before joining Fudan University in 2011, he served as the Dorothean Chair Professor in Computer Science at the University of Vermont, USA, and as a Program Director at the National Science Foundation, USA. He has published widely in the general area of databases and information security, and was a recipient of the US National Science Foundation CAREER award. He served as the general chair of IEEE ICDE 2011 held in Washington DC and ACM CIKM 2014 in Shanghai, China, and in various other roles for international conferences and journals. He’s currently chief editor of the Springer Journal of Data Science and Engineering, associate editor of IEEE TCC, and past associate editor of IEEE TKDE. He's also currently on the steering committees of the IEEE ICDE and IEEE BigComp conference series, and past Chair of WAIM Steering Committee.