Invited Talks

Prof. Dominik Slezak

Associate Professor, Institute of Mathematics, University of Warsaw, Poland
Chief Scientist, Infobright Inc., Poland/Canada

Title: Rough Sets in Intelligent Computing*

Abstract. Rough sets have established sound foundations for intuitive and scalable methods that can be utilized in many ways as components of data exploration systems. Rough set algorithms are used for purposes of, for instance, feature selection and data classification. On the other hand, rough set principles of computing with approximations have found their place in the database industry. We illustrate both above threads of rough set applications using examples of research initiatives conducted at University of Warsaw and in Infobright. We report recent results obtained within DISESOR R&D project aimed at creation of an integrated decision support system for monitoring coal mine processes, where utilization of domain knowledge needs to be combined with efficient predictions based on sensor measurements. We also discuss a design of a new framework aimed at approximate execution of SQL queries over petabytes of data, where quickly obtained (but sufficiently accurate) approximate results can feed analytical layers of business intelligence systems.

Biography. Dominik Slezak received Ph.D. in 2002 from University of Warsaw and D.Sc. in 2011 from Polish Academy of Sciences. In 2005 he co-founded Infobright, where he holds position of chief scientist. He is also associate professor at University of Warsaw. He delivered invited talks at over 20 international conferences. In 2014 he served as general program chair of IEEE/WIC/ACM Web Intelligence Congress. In 2012- 2014 he served as president of International Rough Set Society. He is co-author of 150 papers and co-inventor in 5 granted US patents.

* Partially supported by Polish National Science Centre grants DEC-2012/05/B/ST6/03215 and DEC-2013/09/B/ST6/01568, and by Polish National Centre for Research and Development grants PBS2/B9/20/2013 and O ROB/0010/03/001.

Prof. Pawan Lingras

Professor and Director, Saint Mary's University, Halifax, Canada

Title: Clustering in Temporal Environment: Retail and Financial Applications

Abstract. This talk will begin with a quick overview of clustering and its role in all aspects of data mining fromdata cleaning, data preparation, profiling, classification, association, and prediction. The focus will then shiftto clustering in temporal environment with emphasis on characterizing volatility of temporal patterns. We willdemonstrate how the grouping of products in a retail dataset can improve the prediction of demand and inventorymanagement. Further study of volatility in financial markets will include representations of volatility using aconcise Black Scholes index and more descriptive frequency distributions of the price fluctuations. A roughset based clustering ensemble will be described that retains the volatility rankings obtained from both therepresentations of the volatility. Finally, we will demonstrate how temporal meta-clustering can be useful forproviding a historical context of volatility to facilitate meaningful trading decisions.

Biography. Pawan Lingras is a graduate of IIT Bombay with graduate studies from University of Regina. He is currentlya Professor and Director of Computing and Data Analytics at Saint Marys University, Halifax. He is alsoan active participant in Indian academia having served as a visiting professor at IIT Gandhinagar, and as aUGC sponsored Scholar-in-Residence at SRTM University, Nanded, and has delivered more than 35 invitedtalks at various Indian institutions. He has authored more than 200 research papers in various internationaljournals and conferences. He has also co-authored three textbooks, and co-edited two books and eightvolumes of research papers. His academic collaborations/co-authors include academics from Canada, Chile,China, Germany, India, Poland, Tunisia, U.K. and USA. His areas of interests include artificial intelligence, information retrieval, data mining, web intelligence, and intelligent transportation systems. He has served asthe general co-chair, program co-chair, review committee chair, program committee member, and reviewerfor various international conferences on artificial intelligence and data mining. He is also on editorial boardsof a number of international journals. His research has been supported by Natural Science and EngineeringResearch Council (NSERC) of Canada for twenty-five years, as well as other funding's agencies includingIRAP and MITACS.

Dr. Debanik Roy

Scientist (Robotics) & Chief Programme Co-ordinator, Board of Research in Nuclear Sciences (BRNS), Department of Atomic Energy (DAE), Govt. of India, Mumbai 400085, INDIA

Extended Abstract.
Novel Sensory Data Fusion Using Dynamic Decision Threshold for Heterogeneous Field Robotic Systems

Biography. Dr. Debanik Roy received Bachelor of Engineering degree in Production Engg. from Jadavpur University, Kolkata, India in 1990, securing the topmost position in order of merit. He obtained M.Tech. degree in 1993 from Indian Institute of Technology, Madras, India with specialization in Manufacturing Engg. & Robotics, topping the merit list. During 1993-1995, he was engaged with doctoral research in the field of robotics (tele-manipulation & remote control) and was awarded Doctorate degree from Jadavpur University in 1997. Dr. Roy joined Automation Division, Tata Steel, India after completion of Ph.D. work and was actively involved in robotics projects there. Thenafter, Dr. Roy joined Robotics Research Centre, Nanyang Technological University, Singapore in 1998 as Research Faculty and did research-based work in the field of underwater robotics. Since 1999, Dr. Roy has been associated with the Department of Atomic Energy (DAE), Govt. of India. He was with the Robotics division of Bhabha Atomic Research Centre, Mumbai from 1999 to 2008. Since, Jan., 2009, Dr. Roy is heading the Engineering Science Advisory Committee of Board of Research in Nuclear Sciences (BRNS), DAE. Dr. Roy is also serving as an adjunct faculty of Homi Bhabha National Institute (HBNI).
Dr. Roy has attained many professional benchmarks, including best technical paper prize, honorary membership of technical committee on robotics of IASTED, Canada, overseas visiting professorship, guest speakers at various international conferences etc. He has been distinguished as a biographee in “Marquis Who’s Who in the World” in three successive editions, namely, 2007, 2008 & 2010 and also honoured by the International Biographical Centre, U.K. He is actively associated as editorial board member of several peer-reviewed international journals in robotics & automation and computational mathematics. He is actively involved in various international conferences in robotics, serving as a member of the international programme as well as organizing committee(s). His research interest goes in the domain of robot grippers, gripper sensors, flexible manipulator, underwater robotics, tele-manipulation and web-mediated robotics. He has authored over 130 technical papers till date, published in referred journals and conference proceedings. Dr. Roy has also authored three book-chapters, published by InTech, in the domain of robotic gripper and sensor fusion. In October 2014, Dr. Roy received the DAE Award for Excellence in Science & Technology (as part of the Group Achievement Award) for his contribution made in DAE programmes till date.

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