|Dr. A. Fazel Famili
Data Scientist and Data Analytics Consultant
University of Ottawa
Biography: Dr. A. Fazel Famili is a Data Scientist and a Data Analytics Consultant working in various domains such as Engineering and Life Sciences. He worked as a Research Scientist and Group Leader at the National Research Council of Canada in Ottawa, Canada from 1984-2015. Prior to joining NRC, he worked in industry for 3 years. His interests include data mining, pattern recognition, machine learning, bioinformatics, and knowledge discovery from on-line or historical data. He has lectured in a number of Research Institutes in Canada, Europe, Far East, South Africa and South/Central America. Dr. Famili is founding Editor-in-Chief of the IDA Journal (Intelligent Data Analysis, a refereed scientific journal, established in 1996), published bi-monthly. He is also affiliated with the University of Ottawa, Canada. He has edited two books, published over 50 articles in data mining and Artificial Intelligence and has a US data mining patent.
Speech Title: Searching for patterns in real-world data: From problem understanding to validation
Abstract: Our advancements and achievements in information science and technology over the last 10-20 years, have been the prime motivation for various industries to accumulate huge amounts of data from all levels of their operation. This has resulted in creating large databases for which much of the useful insights are sometimes hidden and untapped. Many attempts have been made in the last 10-20 years to apply systematic methodologies in order to build knowledge discovery and management applications. More...
|Prof. Sheng-Lung Peng
Professor, Department of Computer Science & Information Engineering, National Dong Hwa University, Taiwan
Dean of Library and Information Center, National Dong Hwa University, Taiwan
Biography: Sheng-Lung Peng received the Ph.D. degree in the National Tsing Hua University.
He has been the professor since 2015 in the Department of Computer Science & Information Engineering, National Dong Hwa University, Taiwan, where he is also the director of Library and Information Center.
His research interests focus on Computer Algorithms, Graph Theory and Bioinformatics. He has published more than 30 papers in famous journals, some of which are SCI, SSCI and EI indexed.
|Prof. Shun-Feng Su
Department of Electrical Engineering
National Taiwan University of Science and Technology
Biography:Shun-Feng Su received the B.S. degree in electrical engineering, in 1983, from National Taiwan University, Taiwan, and the M.S. and Ph.D. degrees in electrical engineering, in 1989 and 1991, respectively, from Purdue University, West Lafayette, IN.
He is now a Chair Professor of the Department of Electrical Engineering, National Taiwan University of Science and Technology, Taiwan, R.O.C. He is an IEEE Fellow and CACS fellow. He has published more than 190 refereed journal and conference papers in the areas of robotics, intelligent control, fuzzy systems, neural networks, and non-derivative optimization. His current research interests include computational intelligence, machine learning, virtual reality simulation, intelligent transportation systems, smart home, robotics, and intelligent control.
Dr. Su is very active in various international/domestic professional societies. He is the president of the International Fuzzy Systems Association. He is also in the Boards of Governors of various academic societies, including IEEE Systems, Man, and Cybernetics Society. Dr. Su also acted as Program Chair, Program Co-Chair, or PC members for various international and domestic conferences. Dr. Su currently serves as an Associate editor of IEEE Transactions on Cybernetics, of IEEE Transactions on Fuzzy Systems, and of IEEE Access. He is the Editor-in-Chief of International Journal of Fuzzy Systems and a subject editor of Journal of the Chinese Institute of Engineers.
Speech Title: Learning Control: Ideas and Problems in Adaptive Fuzzy Control
Abstract: Intelligent control is a promising way of control design in recent decades. Intelligent control design usually needs some knowledge of the system considered. However, such knowledge usually may not be available. Learning becomes a important mechanism for acquiring such knowledge. Learning control seems a good idea for control design for unknown or uncertain systems. To learn controllers is always a good idea, but somehow like a dream. It is because learning is to learn from something. But when there is no good controller, where to learn from? Nevertheless, there still exist approaches, such as adaptive fuzzy control, that can facilitate such an idea. It is called performance based learning (reinforcement learning and Lyapunov stability). This talk is to discuss fundamental ideas and problems in one learning controller -- adaptive fuzzy control. Some deficits of such an approach are discussed. The idea is simple and can be extended to various learning mechanisms. In fact, such an idea can also be employed in various learning control schemes. If you want to use such kind of approaches, those issues must be considered in your study
|Prof. Hari Mohan Srivastava
Department of Mathematics and Statistics
University of Victoria
Biography: H. M. Srivastava (Hari Mohan Srivastava) has held the position of Professor Emeritus in the De- partment of Mathematics and Statistics at the University of Victoria in Canada since 2006, having joined the faculty there in 1969, first as an Associate Professor (1969–1974) and then as a Full Professor (1974– 2006). He began his university-level teaching career right after having received his M.Sc. degree in 1959 at the age of 19 years from the University of Allahabad in India. More...
Speech Title: An Elementary and Introductory Approach to Fractional Calculus and Its Applications
Abstract: The subject of fractional calculus (that is, calculus of integrals and derivatives of any arbitrary real or complex order) has gained considerable popularity and importance during the past over four decades, due mainly to its demonstrated applications in numerous seemingly diverse and widespread fields of science and engineering. It does indeed provide several potentially useful tools for solving differential and integral equations, and various other problems involving special functions of mathematical physics as well as their extensions and generalizations in one and more variables. The main object of this lecture is to present a brief elementary and introductory approach to the theory of fractional calculus and its applications especially in developing solutions of certain interesting families of ordinary and partial fractional "differintegral" equations. This general talk will be presented as simply as possible keeping the likelihood of non-specialist audience in mind.