Department of Computer Science
Colloquium Series 2019-20
Wednesday, February 5, 2020, 3:00 PM, RB 104
Mutual Learning Between Two Machines, A Human and A Machine, and Two Humans (Students)?
Snehasis Mukhopadhyay, Ph.D.
Professor and Associate Chair, Department of Computer and Information Science
Associate Faculty, STEM Education Innovation Research Institute (SEIRI)
Indiana University Purdue University Indianapolis (IUPUI)
Abstract: This talk essentially consists of three mini-talks to communicate three current research directions of the speaker. In the first part, we will discuss the problem of mutual learning between two machines (computationally modeled as two learning automata). This work is currently supported by an NSF grant. In the second part, we will discuss learning happening between a machine (an algorithm) and a human user, in a framework termed by the speaker as “Interactive Data Science”. This work is supported by a current grant from the USDA and NSF. In the third part, we will discuss mutual learning occurring in an educational setting between CS students and other more senior student role models in a graduate-level CS course, in an approach called “Peer Assistant Role Models” by the speaker and his associates. This work is supported by a grant from the IUPUI STEM Education Innovation Research Institute (SEIRI). In view of the talk’s limited time, only overviews will be presented for each of the three modules. For details, the attendees are encouraged to engage in continued discussions with the speaker, or consult some of his publications..
Brief Bio of the Speaker: Dr. Snehasis Mukhopadhyay is a Professor and the Associate Chair in the Department of Computer and Information Science at IUPUI. He is also an associate Faculty in the STEM Education Innovation Research Institute (SEIRI) at IUPUI. He received his Ph.D. from Yale University, and a Master’s degree from the Indiana Institute of Science, Bangalore, India. He received a CAREER award from the NSF for integrating research and education. He has continuously received research funding from government agencies including NSF, NIH, NOAA, and USDA. He has twice received the Indiana University Trustees Teaching Awards (TTA) in the years 2014 and 2017, and has been nominated again for the same award in the year 2020. He has been very recently recognized and honored at an event titled “Celebration of Teaching and Engaged Learning” by the Chancellor and the Vice Chancellor of IUPUI for having “an important and meaningful impact”. He has provided extensive professional services including being NSF Review panelist on multiple occasions, and being the General Chair of the 2016 ACM International Conference on Information and Knowledge management (CIKM). His current research interests are in the areas of Artificial Intelligence, Machine Learning, Interactive Data Science, and Computer Science Education Research.
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