Wathela Alhassan


Fields of interest:

Astrophysics, Machine learning, GIS and remote sensing, Data science


Wathela Alhassan is a PhD Candidate (Applications of Artificial Intelligence in Geophysics) at AstroCent and scholarship holder at Geoplanet Doctoral School, Nicolaus Copernicus Astronomical Center.

He worked as a researcher at Department of Astronomy and Space Science, Institute of Space Research and Aerospace (ISRA) in Sudan, where he was leading tow research projects, the first one is on improving the performance of the FIRST classifier using localization and detection techniques. The second one is at ISRA, on site selection for finding the best location to establish an optical astronomical observatory using satellite imageries and Geographic Information System (GIS) based on multiple criteria.

Wathela Alhassan was a part of the Machine Learning Engineers team building a Machine Learning Model to quantify the influence of climate anomalies on forced displacement of individuals and communities in Somalia through satellite imagery analysis. He was also a teaching assistant at the University of Cape Town.

Degrees and titles

BSc in Astronomy & Meteorology Department of Astronomy and Meteorology, Omdurman University, Omdurman (Sudan)
MSc in Remote Sensing and Geographic Information System (GIS) Council of Bioscience, Advanced technology and Environment, Sudan Academy of Science, Khartoum (Sudan)
BSc (Honours) in Astrophysics and Space Science from Department of Astronomy, University of Cape Town, Cape Town (South Africa).
MSc in Astrophysics and Space Science from Inter-University Institute for Data Intensive Astronomy (IDIA) and De Astronomy, University of Cape Town (South Africa)


Position in the project

PhD Student in Seismic Sensors Group


walhassan at camk.edu.pl