Title: Data Driven Optimization in Business Analytics and Energy Markets.
Speaker: Dr. Aswin Kannan
Venue: Seminar hall, second floor, IEOR Building
Day, Date, Time: Tuesday, 13th August 2024, 9:30AM-10:30AM
Abstract: I will discuss about multi-objective optimization problems in energy markets, machine learning, and unit-commitment. In the context of machine learning, this covers the hyperparameter optimization problem and objectives include accuracy, bias, and computational time. The talk will also focus on modeling and algorithms for game theoretic energy markets and policy design from my current and previous research. In process, we also consider data-driven portfolio optimization problems in retail and language processing from both my current and previous research.
Brief Bio: Aswin Kannan is currently a Faculty member and Group Leader at Humboldt Universitaet zu Berlin in Germany. He holds a Doctorate from Penn State, US (2014, Advisor: Dr. Uday Shanbhag), a Masters from Univ. of Illinois at Urbana Champaign, US (both in Industrial Engineering), and a Bachelors from College of Engineering Guindy (India). Prior to joining Humboldt, he had worked for IBM Research (2015-2021), Oracle Analytics, and Argonne National Labs (in the US and India).