Chinmai Basavaraj

725 Gould Simpson, 1040 E 4th St, Tucson
812.244.9126

chinmaib@email.arizona.edu

Graduate Associate at the University of Arizona, pursuing dotoral degree under the guidance of Dr. Kobus Barnard and Dr. Martin Reimann

Research Interests

Machine Learning, Computer Vision, Consumer Decision-Making and Behavior, Neuroimaging

Current Positions:


Publications

Basavaraj, Chinmai, Martin Reimann, and Kobus Barnard, “Predicting experiential risk taking:A deep-learning approach,” Under review at Journal of Marketing Research.

Basavaraj, Chinmai, Martin Reimann, Kobus Barnard, and Michael I. Norton (2019), “Predicting experiential (vs. monetary) risk preferences from consumers’ memory: A behavioral and neuroimaging experiment,” Association for Consumer Research Annual Conference, Atlanta, Georgia, October 17-20, 2019.

Working Papers

Basavaraj, Chinmai, Martin Reimann, and Kobus Barnard, “Analysis of decision-making using deep-learning: A neuroimaging study of Iowa Gambling Task.”

Basavaraj, Chinmai, Nima Toosizadeh, Kobus Barnard, and Martin Reimann, “Neuroimaging analysis of Upper Extremity Flexion (UEF) to predict Mild-Cognitive Impairment (MCI).”

Research in Progress

Theory of Mind-based Cognitive Architecture for Teams
Chinmai Basavaraj, Kobus Barnard, Adarsh Pyarelal
Fall 2019 - Present
Estimation of Haemodynamic Response Function (HRF) using EEG and fNIRS Chinmai Basavaraj, Kobus Barnard, Martin Reimann
Spring 2020 - Present
Computational Temporal Interpersonal Emotion Systems (CompTIES)
Kobus Barnard, Emily Butler, Jinyan Guan, Chinmai Basavaraj
Fall 2016 - Present
Fall 2018 - Present

Teaching

University of Arizona

Indiana State University

Spring 2015, Summer 2015, Fall 2014