Wathela Alhassan

Research

Fields of interest:

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

Biography:

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

2012
BSc in Astronomy & Meteorology Department of Astronomy and Meteorology, Omdurman University, Omdurman (Sudan)
2015
MSc in Remote Sensing and Geographic Information System (GIS) Council of Bioscience, Advanced technology and Environment, Sudan Academy of Science, Khartoum (Sudan)
2016
BSc (Honours) in Astrophysics and Space Science from Department of Astronomy, University of Cape Town, Cape Town (South Africa).
2019
MSc in Astrophysics and Space Science from Inter-University Institute for Data Intensive Astronomy (IDIA) and De Astronomy, University of Cape Town (South Africa)

Contact

Position in the project

PhD Student in Seismic Sensors Group

E-mail

walhassan at camk.edu.pl

Office

5.05