IRMACS: The Interdisciplinary Colloquium: "Knowledge Discovery for Computational Intelligence"

Friday, July 12, 2013
11:30 - 12:30

Dr. Dharmendra Sharma
Faculty of Education, Science, Technology and Mathematics, University of Canberra Australia


Data is crucial for computational modeling to solve complex real world problems. Data acquisition through sensors, encoding/representation as data, extraction of patterns/information/knowledge all are crucial steps in modeling. The evolving field of `Big Data' combines artificial intelligence, signal processing, data representation, data analytics, knowledge discovery from big data for analytics and predictive modeling. Distributed computational paradigms such as multi-agents are argued as efficient approaches to distributed knowledge discovery and modeling. The talk will summarise the KDCIR research motivated by problems from optimization, planning, training-performance modeling in elite sports (cycling), obesity/diabetes modeling, renal transplantation, stress/depression modeling, education analytics and cyber security. Knowledge discovery from brain-computer interaction has also been studied to decode and learn from brain signals to provide a multichannel interaction for human-centered applications. The research and innovation from KDCIR projects will be summarized. Some examples will be discussed as applications of the research.

About the Speaker

Professor Dharmendra Sharma has been the Dean of the Faculty of Information Sciences and Engineering at the University of Canberra from 2004-2012. He has assumed various senior leadership roles in universities for over eighteen years. He has awarded the position of University Distinguished Professor by the University of Canberra in 2012 - being one of two awarded at the University. Prof Sharma's research background is in the Artificial Intelligence areas of Planning, Data Analytics and Knowledge Discovery, Predictive Modeling, Constraint Processing, Fuzzy Reasoning, Brain-Computer Interaction, Hybrid Systems and their applications to health, education, security, digital forensics and sports. He has published over 210 research papers and has supervised to completion of over 20 higher degrees by research students. He has won several competitive research grants research awards and recognition for his research leadership initiatives. He is a Fellow of the Australian Computer Society, a Fellow of the South Pacific Computer Society and a Senior Member of IEEE. Prof Sharma has served on several industry, academic and research bodies including government advisory committees. He was an academic at USP for 20 years prior to joining the University of Canberra. He had studied at USP, University of New South Wales and completed his PhD in Computer Science at the Australian National University. He may be contacted at