معرفی
Johan Fredrik Agerup is a Doctoral Research Fellow at the Department of Geosciences, University of Oslo, affiliated with the Faculty of Mathematics and Natural Sciences. His research focuses on solving inverse problems with deep learning, stability and accuracy in deep learning, multi-agent systems, active reinforcement learning, land-atmosphere gas and energy exchange, and plasma physics/fusion. He holds an MSc in Computational Science (2024, University of Oslo) and an MSc in Physics and Mathematics (2022, NTNU).
Background:
- 2024–present: PhD candidate, Department of Geosciences, University of Oslo
- 2024: MSc in Computational Science, University of Oslo
- 2022: MSc in Physics and Mathematics, NTNU
Research Interests: Agerup’s work bridges machine learning methodologies with environmental and physical sciences. He explores applications of deep learning in geoscience problems, including stability optimization and multi-agent systems for climate modeling. His plasma physics research contributes to fusion energy studies. Land-atmosphere interactions and energy exchange dynamics are central to his terrestrial climate science projects.
Projects: He participates in the ERC Start-up grant-funded project 'ACTIVATE' (Actively Learning Experimental Design in Terrestrial Climate Science), aiming to advance experimental design through AI-driven methods.
Affiliations: He is also registered as a student in the Faculty of Mathematics and Natural Sciences. His office is located at Room 217A in the Geologibygningen building, Sem Sælands vei 1, Oslo.
