AI Tennessee
Theoretical Nuclear Physics professor Thomas Papenbrock is studying atomic nuclei using advanced theory and computation to better understand how matter behaves at its most basic level.
From learning instruments to mastering sports, the brain constantly adapts in response to experience through an ability known as plasticity. UT neuroscientist Keerthi Krishnan studies what happens when this process goes awry, aiming to uncover insights that could inform treatments for neurological disorders.
Anahita Khojandi has built her career around a guiding belief: Artificial intelligence should empower people—not replace them. A professor in the Department of Industrial and Systems Engineering and Heath Endowed Faculty Fellow in Business and Engineering, Khojandi designs decision-making systems that operate under uncertainty and support human users in high-impact real-world environments.
Joshua Rosenberg uses data science principles to improve educational outcomes while teaching students to analyze and interpret data. His work empowers teachers and students to use data and digital technologies to explore scientific questions in meaningful ways.
As AI is redefining nearly every field, UT is demonstrating how universities can lead AI responsibly, collaboratively, and at scale. By uniting research, education pathways, and partnerships, UT is positioning Tennessee as a hub for AI innovation.
As AI rapidly reshapes society, UT is positioning the state as a national leader in advanced computing, data science, and responsible AI innovation. Driving this momentum is Vasileios Maroulas, who is building a statewide AI ecosystem.
