Hamza, driven and ambitious in the realm of ML and signal processing, embarked on his journey with CITY immediately following his graduation from LUMS in June ’23. At CITY, his research has mainly been focused on predicting natural disasters that envelope the urban lifestyle. Specifically, utilizing satellite imagery to pinpoint areas of high flood susceptibility along with incorporating hydrological factors of the study area. His expertise also lie in data manipulation tools such as QGIS, GEE, Sentinel Application Platform (SNAP). He has a deep seated interest in model generalizability through transfer learning and weakly supervised techniques.