Arindam Khan
Scholar

Arindam Khan

Google Scholar ID: yRsbV0AAAAAJ
Associate Professor, Indian Institute of Science, Bengaluru
Approximation AlgorithmsComputational GeometryOptimization under Uncertainty
Citations & Impact
All-time
Citations
1,064
 
H-index
19
 
i10-index
30
 
Publications
20
 
Co-authors
52
list available
Resume (English only)
Academic Achievements
  • Best Paper Award, MFCS 2020; Prof. Priti Shankar Teaching Award 2023; Google India Research Award 2021; Pratiksha Trust Young Investigator Award 2021. Co-organized multiple academic conferences and workshops. Published numerous research papers.
Research Experience
  • Conducted research at TU Munich, IDSIA Switzerland, Microsoft Research Redmond, UC Berkeley, Microsoft Research Silicon Valley, TU Eindhoven, and IBM Research.
Education
  • PhD in Algorithms, Combinatorics, and Optimization (ACO), Georgia Institute of Technology; MS in Mathematics, Georgia Institute of Technology; Dual Degree (BTech and MTech) in Computer Science and Engineering, Indian Institute of Technology (IIT), Kharagpur.
Background
  • Research interests include the design and analysis of algorithms and theoretical computer science. Current research focus is on approximation algorithms, online algorithms, computational geometry, online learning, and combinatorial optimization. Also interested in fairness, algorithms for big data, and machine learning theory.