LabCompass

Charitha Saumya

Computer Science · Purdue University West Lafayette

Mid career · publishing since 2015

Publications

25

Citations

75

Est. group size

~2

Recurring co-author estimate

Active years

12

Publishing since 2015

Research summary
AI-generated

Charitha Saumya works on compiler and program-analysis techniques that make software run faster or be tested more effectively, including reducing code size and control-flow complexity in GPU programs, transforming code for automated bug-finding (symbolic execution), and generating test binaries. Some work also applies these systems techniques to simulating electric-vehicle trip scheduling. This research is largely tool- and systems-oriented, aimed at improving performance and reliability of compiled code and testing infrastructure.

Compiler optimization and code transformationGPU program control-flow simplificationAutomated software testing and symbolic executionBinary code generation and analysisSimulation of electric vehicle trip scheduling

Publication output has been variable but generally increasing over the past decade, with a notable surge in 2022 and again projected for 2025-2026, following a slower period around 2017-2020.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 3.4/year recently
172018: 1 publication182019: 2 publications19202021: 4 publications212022: 8 publications8222023: 1 publication232024: 1 publication242025: 2 publications252026: 5 publications26
Publishes in
  • arXiv (Cornell University)×5
  • Zenodo (CERN European Organization for Nuclear Research)×4
  • Proceedings of the ACM on Programming Languages×2
  • Dagstuhl Research Online Publication Server×2
  • Simulation Modelling Practice and Theory×1
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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 20, 2026.

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