Technical - Partner Event
AI Seminar – Devika Subramanian
When
June 25, 2021 - June 25, 2021
12:00 PM – 1:00 PM MST
Where
Online
Online
Title: Big data and machine learning: Challenges and opportunities
Presenter: Devika Subramanian, Rice University
Abstract: The main theme that drives my research is bringing big data and machine learning to bear on largescale problems in science, engineering, medicine and public policy. I have spent the last 25 years developing novel prediction algorithms and modeling techniques for a range of decision-making problems in medicine, engineering, natural sciences, and social sciences with support from the NSF, ONR, NIH, DHS, DARPA, and the City of Houston. My recent projects are in the areas of medical decision making, forecasting weather and disease, analysis of social media data to understand public support for issues, detecting and analyzing the influence of bots on social media, neuroscience of human learning, and assessments of hurricane wind and rainfall flooding risks. In this talk, I will present an overview of four of my projects and summarize key lessons I learned from formulating and deploying machine learning solutions.
Bio: Devika Subramanian obtained her B.Tech. in Computer Science and Engineering from IIT Kharagpur, and her M.S. and Ph.D. in Computer Science from Stanford University. She is a full professor of Computer Science and Electrical Engineering at Rice University, where she has served on the faculty since 1996. She has given invited lectures on her work at many conferences and universities in the world. She has also won teaching awards at Stanford University, Cornell University and at Rice University.
The University of Alberta Artificial Intelligence (AI) Seminar is a weekly meeting where researchers (including students, developers, and professors) interested in AI can share their current research. Presenters include local speakers from the University of Alberta and industry as well as other institutions. The seminars discuss a wide range of topics related in any way to Artificial Intelligence, from foundational theoretical work to innovative applications of AI techniques to new fields and problems are of interest. Learn more at the AI Seminar website and by subscribing to the mailing list!
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