New Energy Team:Climate change and challenges to nuclear plant safety–AI/ML analysis of meteo events
| Team Name | Climate change and challenges to nuclear plant safety – AI/ML analysis of extreme weather events |
| Track | Energy |
| Use Case | An analysis of long-term worldwide extreme event records using AI and machine learning techniques will reveal valuable insights for nuclear safety. The study may identify trends in various natural hazards (hydrological, meteorological, drought, wildfire, etc.), uncover correlations between hazards of different types, analyze hazard characteristics and affected world regions, and estimate probability of occurrence and induced risk to nuclear installations. The outcome may well support a better understanding of the natural hazard scenarios, ultimately contributing to more effective safety assessments for nuclear installations |
| Technology | AI/ML |
| Region | EMEA |
| Team lead | Paolo Contri |
| Team members |
(1) Name: Paolo Contri (Team Leader) Organization: IAEA (International Atomic Energy Agency) Email: P.Contri@iaea.org
(2) Name: Jan Stowisek Organization: IAEA (International Atomic Energy Agency) Email: J.Stowisek@iaea.org
(3) Name: Vijayan Sugumaran (Professor) Organization: Oakland University Email: sugumara@oakland.edu
(4) Name - Aswini Sivakumar (Graduate Student) Organization: Oakland University Email - aswinisivakumar@oakland.edu
(5) Name - Yashashri Kadam (Graduate Student) Email - yashashriarvind@oakland.edu Organization: Oakland University
(6) Name: Chris Chiesa Organization: PDC (Pacific Disaster Center) Email: cchiesa@pdc.org
(7) Name: Cassie Stelow Organization: PDC (Pacific Disaster Center) Email: cstelow@pdc.org
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| Social media handles | *all team members' social media links here* |
| Is your team interested in participating in an interview? | N |
| Optional: Expand on your technology expertise |
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