LabCompass

Ana María Estrada Gómez

Computer Science · Purdue University West Lafayette

OpenAlex ORCID
Early career · publishing since 2020
Anomaly Detection Techniques and ApplicationsData Stream Mining TechniquesAdvanced Neural Network ApplicationsPrivacy-Preserving Technologies in DataTraffic Prediction and Management Techniques

Publications

12

Citations

74

Est. group size

—

Recurring co-author estimate

Active years

6

Publishing since 2020

Research summary
AI-generated

Ana María Estrada Gómez works on statistical methods for analyzing large, complex, and streaming data, including techniques for monitoring high-dimensional data streams, identifying root causes of problems in systems that generate diverse types of data, and developing computational tools for large-scale spatial statistics. Her work also touches on privacy-preserving approaches to analyzing data spread across multiple locations (federated data analytics). This research is generally aimed at applications in quality monitoring and diagnosis of complex systems.

Anomaly detection and root-cause analysisMonitoring and diagnosis of high-dimensional streaming dataFederated and privacy-preserving data analysisSpatial statistical modeling (Gaussian processes)Graphical models for complex systems

Publication output was minimal before 2020 but has become more active and consistent from 2020 through 2025, averaging about 1.6 papers per year over the last five years.

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

Publication cadence
Publications per year over the last 10 years — averaging 1.6/year recently
1718192020: 1 publication202021: 3 publications3212022: 3 publications322232024: 3 publications3242025: 2 publications2526
Recent publications
Publishes in
  • Technometrics×3
  • Figshare×3
  • IISE Transactions×2
  • Journal of Quality Technology×1
  • Healthcare Analytics×1
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By research-topic overlap
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  • Herman Shen

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  • Qingyi Gao

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  • Shuhan Yuan

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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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