Chinmai Basavaraj

725 Gould Simpson, 1040 E 4th St, Tucson

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:


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


University of Arizona

Indiana State University

Spring 2015, Summer 2015, Fall 2014