UT Shield

Aryan Mokhtari

 

  • Associate Professor, ECE, UT Austin (William W. Hagerty Fellow)
  • Core Member, NSF AI Inst. for Foundations of Machine Learning (IFML)
  • Core Member, NSF AI Inst. for Future Edge Networks & Distributed Intelligence (AI-EDGE)
  • Google Scholar

 

 

Research Interests:

  • Optimization Theory and Algorithms:
    • Convex and Nonconvex Optimization, Minimax Optimization, Bilevel Optimization, Parameter-free and Adaptive Optimization
  • Foundations of ML and AI:
    • Multi-Task Learning, In-Context Learning, Machine Unlearning, Efficient Fine-Tuning

Support

My research has been supported by an NSF CAREER Award CCF-2338846, NSF Grants CCF-2007668 and ECCS-2127697, an ARO Early Career Program (ECP) Award, a Google Research Scholar Award, the NSF AI Institute for Foundations of Machine Learning (IFML), the NSF AI Institute for Future Edge Networks and Distributed Intelligence (AI-EDGE), and the Machine Learning Laboratory at UT Austin.