Hans Gamido
Hans obtained his BS Applied Physics degree magna cum laude in 2024. In his undergraduate thesis, he worked with explainable artificial intelligence methods to identify notable regions that best characterize the decade of time slices of a sea surface temperature simulation model. He is currently an Erasmus Mundus scholar pursuing a joint master's degree in Sustainable Systems Engineering with a specialization track in Advanced Machine Learning and Optimization of Systems.
BS Thesis:
Localizing regional indicators of 2-m surface temperature dynamics using explainable artificial intelligence
BS Adviser: