AI Dissertation Competition Finalists

AI Dissertation Proposal Competition

Advancing Rigorous Scholarship at the Intersection of AI and Business
A wall in the atrium that says "Where Business Meets Leadership"

Building a Better Future Through Business and AI

Texas A&M University’s Mays Business School invites you to experience AI innovation during its AI Dissertation Proposal Competition on Sept. 24-25. Engage with cutting-edge academic research as doctoral candidates demonstrate how their advanced AI studies are pushing theoretical boundaries and creating new possibilities for business applications.

Join us to witness the future of business and AI.

Sponsor Spotlight

Special thanks to PwC for their generous support of our AI Dissertation Competition.

Itinerary

More competition details coming soon.

Location

David R. Norcom ’73 Conference Room

Wayne Roberts ’85 Building, Texas A&M University
256 Olsen Blvd., College Station, TX 77843

Parking

Paid parking is available in Lot 72

2026 AI Dissertation Proposal Competition Finalists

Accounting

Synthesizing the Consensus: Generative AI, LLM Visibility, and the Integration of Multi-Provider Consensus Forecasts

By Leonard Yang Liu, University of Maryland

Finance

AI and Appropriation Risk

By Winston Chen, University of Southern California

Management

Where to Draw the Line: How Delegating Peripheral Work to AI Undermines Core Professional Judgment

By Farnam Mohebi, UC Berkeley

Management Information Systems

Generative AI, Large Language Model, and Content Creation Platform Design

By Hongxian Huang, New York University

Marketing

Designing Self-Sustaining Markets: An Application to Content Platforms

By Lei Huang, MIT

Supply Chain

Large-X-Model Based Robust Inventory Operating Systems

By Xiaoyu Fan, New York University