Social science to artificial intelligence and beyond – a journey | Dr. Vijay Mago, Lakehead University

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Presented by The Department of Mathematics & Computer Science Optimization Seminar Series

Thursday, May 30, 2019
1:00 – 1:50 PM
C630

As researchers in computer science, we always face a challenge when people ask about the application of our research; policy makers talk about how computer science can help them predict the impact of policies - knowledge translation for practitioners, and as theoretical scientists, we want to improve the existing algorithm or develop new ones - incremental research.

The focus of this talk is to present the recent works at DataLAB at the Lakehead University, where we have applied our research outcomes to – a) support the student mobility between colleges and universities, b) develop law cases repository c) understand the contributory factors of success for transfer students, d) build artificial intelligent facilitator for conceptual map building, e) present a simulation framework to test the policies for homeless in Montreal, f) design a new algorithm for semantic analysis, g) design an improved algorithm to automate essay evaluation, and finally h) a mechanism to host big data on High Performance computing for near real-time searching and querying.

Biography: Vijay Mago received the Ph.D. degree in computer science from Panjab University, India, in 2010. In 2011, he joined the Modelling of Complex Social Systems Program at the IRMACS Centre of Simon Fraser University. He is currently an Associate Professor with the Department of Computer Science, Lakehead University, Thunder Bay, ON, Canada, where he teaches and conducts research in areas, including big data analytics, machine learning, natural language processing, artificial intelligence, medical decision making, and Bayesian intelligence. He has served on the program committees of many international conferences and workshops. In 2017, he joined Technical Investment Strategy Advisory Committee Meeting for Compute Ontario. He has published extensively (more than 50 peer reviewed articles) on new methodologies based on soft computing and artificial intelligence techniques to tackle complex systemic problems, such as homelessness, obesity, and crime. He currently serves as an Associate Editor for IEEE Access and BMC Medical Informatics and Decision Making and as a Co-Editor for the Journal of Intelligent Systems.

Room or Area: 
C630

Free. Everyone welcome.


Contact:

Catharine Reader | catharine.reader@uleth.ca | (403) 382-7154 | http://www.cs.uleth.ca/~benkoczi/wordpress/?p=647