June 20, 2016 at 1:00 p.m. Dr. Shahryar Rahnamayan, Associate Professor in the Department of Electrical, Computer and Software Engineering Faculty of Engineering and Applied Science at UOIT, will be presenting “Optimization and Research: Applications, Opportunities, and Challenges”.
Speaker: Dr. Shahryar Rahnamayan
Department of Electrical, Computer and Software Engineering Faculty of Engineering and Applied Science, UOIT
Day & Time: Monday, June 20, 2016
1:00 p.m. – 2:00 p.m.
Location: Room ENG 288
245 Church St., Toronto, ON, M5B 2K3
Organizer: IEEE Women in Engineering (WIE), IEEE Magnetics Chapter, IEEE Instrumentation & Measurement/Robotics & Automation Joint Chapter and Computer Science Department Ryerson University
Contact: Dr. Maryam Davoudpour
Abstract: In this research seminar, the speaker will explain his recent optimization research work and accomplishments, categorized in the following two main groups of contributions: theoretical/developmental and practical. The first group will cover his contributions in large-scale optimization, opposition-based computation, many-objective optimization, image-based large-scale visualization and interaction, incremental cooperative coevolution, micro-differential evolution, 3D visualization of many-objective Pareto-front, preserving constraint handling, decision making in high-dimensional objective space, and multi-modal optimization. In the practical category, the speaker will explain several real-world applications to demonstrate effectiveness of optimization in medical image processing, renewable energy systems, forensic science, scheduling, and wireless sensors network. This seminar will be beneficial for faculty and students who conduct ‘research in optimization’ or ‘optimization in research’.
Biography: Dr. Shahryar Rahnamayan received his B.Sc. and M.S. degrees both with honors in software engineering. In 2007, he received his Ph.D. degree in the field of evolutionary computation from Systems Design Engineering Department, University of Waterloo. Inspired from opposition-based differential evolution algorithm (ODE), more than 450 papers have been published. Before joining to the faculty of engineering and applied science, University of Ontario Institute of Technology (UOIT), Canada, as a tenure-track faculty member, he was a postdoctoral fellow at Simon Fraser University (SFU), Canada. He was granted tenure earlier and also was promoted to an associate professor position in 2013. His research includes evolutionary computation, image processing, machine learning, and opposition-based soft computing. Dr. Rahnamayan was awarded the Ontario Graduate Scholarship (OGS), President’s Graduate Scholarship (PGS), NSERC’s Japan Society for the Promotion of Science (JSPS) Fellowship, NSERC’s Industrial R&D Fellowship (IRDF), NSERC’s Visiting Fellowship in Canadian Government Laboratories (VF), and the Canadian Institute of Health Research (CIHR) Fellowship for two times. He has published more than 100 papers, Dr. Rahnamayan has received several prestigious research grants, such as, NSERC Discovery Grant and also Applied Research and Commercialization Initiative Fund. He recently visited the Michigan State University (MSU) and BEACON Research Center for two years in order to conduct research on large-scale and multi-objective optimization and visualization.