LabCompass

Lefteri H. Tsoukalas

Engineering · Purdue University West Lafayette

OpenAlex ORCID
Established · publishing since 1986
Fault Detection and Control SystemsEnergy Load and Power ForecastingSmart Grid Energy ManagementNeural Networks and ApplicationsNuclear reactor physics and engineering

Publications

264

Citations

4,888

Est. group size

~3

Recurring co-author estimate

Active years

41

Publishing since 1986

Research summary
AI-generated

Lefteri H. Tsoukalas works at the intersection of nuclear engineering and artificial intelligence, developing machine-learning and data-driven methods to monitor, forecast, and secure energy systems. His work spans nuclear reactor components (such as sodium cold traps and molten salt heat exchangers), smart grids, and electricity load and price forecasting, often using neural networks and explainable AI techniques. He also contributes to materials science topics relevant to nuclear fuels and sensors.

AI and machine learning for energy systemsNuclear reactor monitoring and controlElectricity load and price forecastingSmart grid and microgrid managementNuclear materials and fuel science

Publication output has fluctuated over the past decade, dipping around 2019-2020 before rebounding to a steady pace of roughly 8-11 papers per year 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 8.2/year recently
2017: 12 publications12172018: 6 publications182019: 5 publications192020: 4 publications202021: 9 publications212022: 9 publications222023: 8 publications232024: 11 publications242025: 8 publications252026: 5 publications26
Recent publications
Publishes in
  • Energies×13
  • IGI Global eBooks×4
  • International Journal of Artificial Intelligence Tools×3
  • OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)×3
  • International Journal of Monitoring and Surveillance Technologies Research×3
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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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