IEEE-NCS, PES and Comp/Comm Chapter Presents
Tuesday, November 20th, 2018, 6:00 to 8:30pm, doors open at 5:30pm
Granular Computing: Pursuing New Frontiers of Artificial Intelligence and Data Science
Presented By: Prof. Witold Pedrycz
Artificial Intelligence (AI) has been enjoying a great deal of interest in the recent years owing to its successful applications reported in various areas including robotics, computer vision, and a plethora of systems engaging natural language processing. Data Science becomes instrumental in data analysis discovering essential dependencies and building prediction and classification models.
We advocate that bringing the concepts, methodologies, and formal frameworks of Granular Computing into the area of AI and Data Science can open new and promising avenues of further research and applications. Granular Computing is defined as a coherent and unified platform of acquiring, processing and communication of information granules delivering a highly needed abstraction mechanism.
The talk is self-contained: the principles and formalisms of information granules along with their underlying design principles are discussed in detail. It is shown that the notion of information granularity assumes an important position by bridging the gap between symbolic and sub-symbolic way of processing realized in AI.
The roles of information granules in various faculties of AI such as knowledge representation, concept formation and their hierarchical organization, problem solving mechanisms are elaborated in detail. It is also emphasized that information granules play a visible role in revealing and characterizing interpretable relationships (dependencies) in data.
Witold Pedrycz (IEEE Fellow, 1998) is Professor and Canada Research Chair (CRC) in Computational Intelligence in the Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada. In 2009 Dr. Pedrycz was elected a foreign member of the Polish Academy of Sciences and in 2012 a Fellow of the Royal Society of Canada. Witold Pedrycz has been a member of numerous program committees of IEEE conferences in the area of fuzzy sets and neurocomputing. In 2007 he received a prestigious Norbert Wiener award from the IEEE Systems, Man, and Cybernetics Society. He is a recipient of the IEEE Canada Computer Engineering Medal, a Cajastur Prize for Soft Computing from the European Centre for Soft Computing, a Killam Prize, and a Fuzzy Pioneer Award from the IEEE Computational Intelligence Society.
His main research directions involve Computational Intelligence, fuzzy modeling and Granular Computing, knowledge discovery and data science. His current h-index (Google Scholar ) is 100. Dr. Pedrycz is involved in various editorial activities. He is an Editor-in-Chief of Information Sciences, Editor-in-Chief of WIREs Data Mining and Knowledge Discovery (Wiley), and Co-editor-in-Chief of Int. J. of Granular Computing (Springer) and J. of Data Information and Management (Springer). He serves on an Advisory Board of IEEE Transactions on Fuzzy Systems and is a member of a number of editorial boards of international journals.
Location: ETLC 1-003 room at University of Alberta, 116 St NW Edmonton, AB T6G 2V4