Deepayan Chakrabarti
Scholar

Deepayan Chakrabarti

Google Scholar ID: OPg56pYAAAAJ
Associate Professor, McCombs School of Business, UT Austin
Machine LearningGraph MiningRobust OptimizationBig Data
Citations & Impact
All-time
Citations
3,897
 
H-index
28
 
i10-index
40
 
Publications
20
 
Co-authors
9
list available
Contact
Resume (English only)
Academic Achievements
  • More details can be found in his resume, Google Scholar, and DBLP profiles.
Research Experience
  • Associate Professor at the McCombs School of Business, UT Austin, in the Information, Risk, and Operations Management (IROM) department; also an Amazon Scholar.
Background
  • Research interests include a broad range of problems in Machine Learning and Data Mining, with a recent focus on analyzing large graphs and social networks, robust optimization, and machine learning. His work spans model-building, statistical inference, designing algorithms, and providing theoretical proofs of consistency.
Miscellany
  • Open to new Ph.D. students. Prospective students should not contact directly but mention their research areas and interest in working with him in their Statement of Purpose.