Graduate Student Fellowships

The O'Donnell Institute Graduate Student Fellowships support doctoral students pursuing research in advanced AI/ML technologies, digital twins, and quantum information sciences. The current research projects are:

• A Self-Supervised Deep Learning Approach for Radar Interferometry Denoising. Student: Kang Liang (Earth Sciences),  Advisor: Zhong Lu.
  
  
• 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.
  
  
• 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 Muscle.  Student: Yinglu Tang (Biology) , Advisor: Zhihao Wu.