LabCompass

Saugata Basu

Computer Science · Purdue University West Lafayette

Established · publishing since 1992

Publications

208

Citations

4,044

Est. group size

~2

Recurring co-author estimate

Active years

34

Publishing since 1992

Research summary
AI-generated

Saugata Basu works in computational and real algebraic geometry, developing mathematical theory and algorithms for analyzing shapes and equations defined by polynomials (algebraic expressions involving powers of variables). This includes studying the complexity of computations on these shapes, topics like optimization (finding best solutions under constraints) and topological data analysis (methods for understanding the shape of complex data, including applications to biological 'omics' data). This work is largely theoretical/mathematical, with some recent applications to data science and quantum computing.

Real algebraic geometryComputational complexity of polynomial systemsTopological data analysis / persistent homologyOptimization theory (semi-definite and nonlinear)Applications to omics and quantum computing

Publication output has grown over the last decade, rising from about 4 papers/year in 2017 to a peak of around 12-13 in 2022 and 2024, with a recent dip in 2025.

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

Publication cadence
Publications per year over the last 10 years — averaging 7.6/year recently
2017: 4 publications172018: 5 publications182019: 4 publications192020: 6 publications202021: 9 publications212022: 13 publications13222023: 10 publications232024: 12 publications242025: 3 publications2526
Publishes in
  • arXiv (Cornell University)×32
  • Discrete & Computational Geometry×4
  • SIAM Journal on Applied Algebra and Geometry×3
  • Forum of Mathematics Sigma×3
  • Mathematische Annalen×2
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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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