Suvrit Sra
Scholar

Suvrit Sra

Google Scholar ID: eyCw9goAAAAJ
TUM
Nonconvex OptimizationDeep Learning TheoryMatrix AnalysisGeometric Optimization
Citations & Impact
All-time
Citations
12,204
 
H-index
54
 
i10-index
130
 
Publications
20
 
Co-authors
125
list available
Resume (English only)
Academic Achievements
  • Honored with the Alexander von Humboldt Professorship for AI in May 2024. Multiple papers accepted at COLT 2022, ICML 2022, and other top conferences.
Research Experience
  • Currently on leave at TU Munich. Research interests include applications of machine learning to operations research (supply chains), LLM based OPT+ML applications, and more.
Background
  • Esther and Harold E. Edgerton (1927) Career Development Associate Professor of EECS. Core member: Institute for Data, Systems, and Society (IDSS), and Laboratory for Information and Decision Systems (LIDS). Main research areas include machine learning, optimization, and mathematics, with a focus on non-convex optimization, non-Euclidean and geometric optimization, deep learning theory, etc.
Miscellany
  • No longer active on social media.