Tamal K. Dey
Computer Science · Purdue University West Lafayette
Publications
367
Citations
8,054
Est. group size
~1
Recurring co-author estimate
Active years
39
Publishing since 1988
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.
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
- A Fast Algorithm for Computing Zigzag Representatives
Algorithmica · 2026
- Computing a Connection Matrix and Persistence Efficiently from a Morse Decomposition
SIAM Journal on Applied Dynamical Systems · 2026
- HalluZig: Hallucination Detection using Zigzag Persistence
arXiv (Cornell University) · 2026
- Limit Computation Over Posets via Minimal Initial Functors
arXiv (Cornell University) · 2026
- HalluZig: Hallucination Detection using Zigzag Persistence
arXiv (Cornell University) · 2026
- Limit Computation Over Posets via Minimal Initial Functors
arXiv (Cornell University) · 2026
- HalluZig: Hallucination Detection using Zigzag Persistence
2026
- HalluZig: Hallucination Detection using Zigzag Persistence
Underline Science Inc. · 2026
- Decomposing Multiparameter Persistence Modules
arXiv (Cornell University) · 2025
- A Fast Algorithm for Computing Zigzag Representatives
Society for Industrial and Applied Mathematics eBooks · 2025
- Quasi Zigzag Persistence: A Topological Framework for Analyzing Time-Varying Data
arXiv (Cornell University) · 2025
- Apex Representatives
arXiv (Cornell University) · 2025
- Conley-Morse persistence barcode: a homological signature of combinatorial bifurcations
ArXiv.org · 2025
- KindNest – An Essentials Connect
2025
- Adaptive and Privacy-Preserving Anomaly Detection in IoT Edge Security Using Neuromorphic Computing
2025
- 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
- Yusu Wang
Computer Science · The Ohio State University
- Facundo Mémoli
Computer Science · The Ohio State University
- Matthew Kahle
Computer Science · The Ohio State University
- Dena Marie Asta
Computer Science · The Ohio State University
- Shreyas N. Samaga
Computer Science · Purdue University West Lafayette
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.
Claim or correct this profile