LabCompass

Tamal K. Dey

Computer Science · Purdue University West Lafayette

Established · publishing since 1988

Publications

367

Citations

8,054

Est. group size

~1

Recurring co-author estimate

Active years

39

Publishing since 1988

Research summary
AI-generated

Tamal K. Dey works in computational topology, a field that develops algorithms to analyze the 'shape' of data, such as identifying holes, loops, and connected components in complex datasets. His recent work focuses on techniques like zigzag persistence and connection matrices, which track how these shape features change across time-varying or multi-parameter data, with applications including anomaly and hallucination detection in AI systems. This research combines mathematical topology with efficient algorithm design for large-scale data analysis.

Computational topology and persistent homologyZigzag and multiparameter persistence methodsDynamical systems analysis via Morse decompositions and connection matricesTopological data analysis applied to machine learning problemsAlgorithm design for shape and structure analysis in data

Publication output has fluctuated over the past decade, peaking sharply in 2022 (30 publications) before settling to a more moderate but still active pace in recent years.

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

Publication cadence
Publications per year over the last 10 years — averaging 14.4/year recently
2017: 10 publications172018: 14 publications182019: 8 publications192020: 9 publications202021: 15 publications212022: 30 publications30222023: 12 publications232024: 14 publications242025: 8 publications252026: 8 publications26
Recent publications
Publishes in
  • arXiv (Cornell University)×43
  • Cambridge University Press eBooks×14
  • DROPS (Schloss Dagstuhl – Leibniz Center for Informatics)×7
  • Leibniz-Zentrum für Informatik (Schloss Dagstuhl)×5
  • SIAM Journal on Applied Dynamical Systems×4
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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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