Rate My Professor Saunak Basu

Basu's academic interests include big data, machine learning, sentiment analysis, blockchain, and predictive analytics, particularly human-AI hybrid decision-making on digital platforms such as crowdfunding and ICO markets. His key publications are "Human Decision Making in AI Augmented Systems: Evidence from the Initial Coin Offering Market" (2021, with A. Garimella, W. Han, A. Dennis; 11 citations), "Impact of Artificial Intelligence on Human Decision Making on ICO Platforms" (2019, with W. Han, A. Garimella; 6 citations), "Implied Volatility and Predictability of GARCH Models" (2017, with V. Rajvanshi, A. Santra; 3 citations), and his 2023 dissertation. He presented "Explainability in Human-AI Hybrid Decision-Making on Crowdfunding Platforms" at the INFORMS Annual Meeting in November 2025 and chaired the session "Gig Economy and Social Media Research: Precarity, Policy, and Platform Governance: Unintended Consequences." At UNLV, Basu holds Graduate Faculty status at the Chair level across all levels and serves as affiliated faculty for advancing research with generative AI. Previously, he was a Graduate Research Assistant at UIUC's Gies College of Business.