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Konstantinos Vasili

Engineering · Purdue University West Lafayette

OpenAlex ORCID
Early career · publishing since 2019Rising activity
Fault Detection and Control SystemsAnomaly Detection Techniques and ApplicationsNuclear reactor physics and engineeringTime Series Analysis and ForecastingNuclear Engineering Thermal-Hydraulics

Publications

24

Citations

26

Est. group size

~7

Recurring co-author estimate

Active years

8

Publishing since 2019

Research summary
AI-generated

Konstantinos Vasili works on making nuclear reactor operation safer and more autonomous by combining machine learning, statistical time-series analysis, and control engineering. His recent work focuses on detecting anomalies in reactor sensor data, forecasting and classifying reactor states, and developing predictive control and visualization tools to help automate reactor monitoring and decision-making.

Anomaly detection in nuclear reactor dataMachine learning and deep learning for time-series classificationAutonomous and predictive control of nuclear reactorsReactor state estimation and monitoringApplied signal processing and forecasting

Publication output was minimal or absent for much of the past decade but has grown sharply since 2023, peaking in 2025, indicating a recently intensified and still-active research agenda.

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

Publication cadence
Publications per year over the last 10 years — averaging 4.6/year recently
17182019: 1 publication192021222023: 2 publications232024: 6 publications242025: 11 publications11252026: 4 publications26
Recent publications
Publishes in
  • Transactions of the American Nuclear Society×8
  • SSRN Electronic Journal×3
  • arXiv (Cornell University)×3
  • IEEE Access×2
  • Zenodo (CERN European Organization for Nuclear Research)×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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