Aryan Mokhtari
Scholar

Aryan Mokhtari

Google Scholar ID: glcep6EAAAAJ
UT Austin
OptimizationMachine Learning
Citations & Impact
All-time
Citations
9,946
 
H-index
43
 
i10-index
77
 
Publications
20
 
Co-authors
57
list available
Contact
No contact links provided.
Resume (English only)
Academic Achievements
  • 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.
Research Experience
  • 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).
Background
  • 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).