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The O'Donnell Institute Graduate Student Fellowships support doctoral students pursuing research in advanced AI/ML technologies, digital twins, and quantum information sciences. The research projects for the 2024 - 2025 academic year were:

• Algorithms for Reduced-Order Modeling and Data Assimilation with Applications to Digital Twins of Complex Flow System.  
  Student: Mark de Vernon (Mathematics),  Advisor: Tom Hagstrom.
  
  
• Toward World Model-Based Learning: A New Paradigm for Generalized Artificial Intelligence.
  Student: Eli Laird (Computer Science and Guildhall), Advisor: Corey Clark.
  
  
• A Self-Supervised Deep Learning Approach for Radar Interferometry Denoising.
  Student: Kang Liang (Earth Sciences), Advisor: Zhong Lu.
  
  
• Quantum Reinforcement Learning in Power Distribution System Operations.
  Student: Ding Lin (Electrical and Computer Engineering), Advisor: Jianhui Wang.


• Advanced Machine Learning Techniques for Discovering Aging Biomarkers in Human Skeletal Muscles.
  Student: Yinglu Tang (Biology), Advisor: Zhihao Wu.