CS Seminar-Why Machine Learning is Important in Decision Making
Jodrey School of Computer Science
Friday, January 15, 2016
Carnegie Hall 113
Why Machine Learning is Important in Decision Making
Dr. Hossein Parvar
Gathering the required information from complex environments and learning a world model for dynamic planning and decision making is a challenging problem in robotics and intelligent organizations. It gives the opportunity to engineers to develop new intelligent systems to address these problems. My proposed architecture is important for a variety of applications, including: wireless sensor networks (WSN), autonomous robotics, robot collaboration, and team decision making in complex systems such as healthcare, emergency management, disaster management, crisis management, and logistics management. In complex systems, we need to find a proper model for selecting specific sources of data, and also a model for predicting objects or the relation between the objects based on observations. Finding proper models is the main issue in the proposed architecture. Thanks to machine learning methods, we can create required models for this architecture.
The talk will cover the role of machine learning in decision making. I will talk a bit about the research that I'm doing in providing required information for the decision making process and the role of machine learning, challenges and opportunities. I will also talk about my research on machine learning in past few years.
About the Presenter
Hossein Parvar is a postdoctoral fellow in the Jodrey School of Computer Science at Acadia University and adjunct faculty member in Faculty of Computer Science at Dalhousie University. He has co-chaired or been part of the program committee for number of Iranian or international conferences, seminars and workshops. He was a member of governing council of Intelligent System Scientific Society of Iran (ISSSI) from 2007-2013. He was also a full-time faculty member in different universities in Iran for over 10 years. He has worked on different projects in the private and public sector in Iran providing situation analysis and problem definition, project management and guidance. Since 2013, He has been working on machine learning projects in Canada. His research interests include the design and implementation of intelligent systems based on machine learning and data fusion methods to develop better collaboration between machines or between human and machine.
Everyone is welcome to attend