LabCompass

Chaitanya Koparkar

Computer Science · Indiana University

OpenAlex ORCID
Parallel Computing and Optimization TechniquesLogic, programming, and type systemsSoftware Testing and Debugging TechniquesCloud Computing and Resource ManagementSoftware Engineering Research

Publications

13

Citations

25

Est. group size

—

Recurring co-author estimate

Active years

8

Publishing since 2017

Research summary
AI-generated

Chaitanya Koparkar works in programming languages and compiler research, focusing on how programs represent and process structured data (such as trees and recursive datatypes) efficiently, including balancing parallel computing with compact data layouts. The work includes designing programming languages and optimization techniques for operating directly on serialized data, as well as accessible technical writing on software tools and testing methods.

Programming languages and compilersEfficient data representation and memory layoutParallel computing optimizationSoftware testing techniquesFunctional programming (e.g., Haskell/GHC)

Publication activity has been modest but fairly steady over the last several years, averaging around one to two publications per year.

Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026

Publication cadence
Publications per year over the last 10 years — averaging 1.4/year recently
2017: 1 publication17182019: 2 publications19202021: 3 publications3212022: 2 publications222023: 3 publications3232024: 2 publications242526
Recent publications
Publishes in
  • XRDS Crossroads The ACM Magazine for Students×6
  • arXiv (Cornell University)×2
  • DROPS (Schloss Dagstuhl – Leibniz Center for Informatics)×1
  • Artifact Digital Object Group×1
  • Proceedings of the ACM on Programming Languages×1

This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 11, 2026.

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