USC OORI Awards Four Faculty-led Projects under GenAI Program

The University of Southern California (USC) Office of Research and Innovation (OORI) has announced four new awardees named under the Generative Artificial Intelligence (GenAI) Research Program.

USC has made recent advances across the university to enhance research efforts in the field of artificial intelligence (AI) and Generative AI (GenAI). For example, USC recently launched the Center for Generative Artificial Intelligence and Society to examine how GenAI is reshaping the way humans live, work, learn, and play, and how it can be leveraged for the common good. Additionally, OORI has worked to implement support services and available funds for faculty interested in pursuing critical and timely cutting-edge research on GenAI.

Through the internally funded GenAI Research Program, OORI provides funding to explore the transformative impact of GenAI on the world, including its potential capacity to unleash human potential. Funding is available for researchers from across schools and disciplines. The GenAI Research Program consists of three subprograms: (1) Building GenAI Research Networks; (2) GenAI Research Award; and (3) Collaborative GenAI Research Award.

The 2024 GenAI Research Program awardees are as follows:

  1. Hosung Kim, PhD, Assistant Professor of Neurology – Keck School of Medicine of USC
    1. Proposal Title: Simulation of realistic motion artifacts and correction of motion-affected MRI Images via a conditional diffusion probabilistic model
  • Xiaohui Chen, PhD, Associate Professor of Mathematics – USC Dana and David Dornsife College of Letters, Arts, and Sciences
    • Proposal Title: Quantum Empowered Generative Artificial Intelligence
  • Paul Thompson, PhD, Professor of Ophthalmology, Neurology, Psychiatry and the Behavioral Sciences, Radiology, Psychiatry, and Engineering, Associate Director, USC Mark and Mary Stevens Neuroimaging and Informatics Institute – Keck School of Medicine of USC
    • Proposal Title: Generative AI-Based Tractometry to Reveal Brain Fiber Tract Abnormalities in Alzheimer’s and Parkinson’s Disease
  • Ruishan Liu, PhD, WiSE Gabilan Assistant Professor of Computer Science – USC Viterbi School of Engineering
    • Proposal Title: Large Language Models-Based AI Solutions for Clinical Trial Enrollment and Design