Hamza Kebiri

PhD student
University of Lausanne (UNIL) and Lausanne University Hospital (CHUV)

University of Lausanne, Center for Biomedical Imaging (CIBM)
Lausanne University Hospital, Radiology Department (CHUV)

Email: hamza (dot) kebiri (at) unil (dot) ch
Phone: +41 21 314 15 37
Postal address: Centre de Recherche en Radiologie (RC7), Rue du Bugnon 46, CH-1011 Lausanne
Office: Rue Centrale 7, 4th floor, CH-1003 Lausanne



Research Interests

Hamza’s main research interest encompasses neuroscience, brain reconstruction, machine learning and its applications to biomedical neuroimaging. His PhD project aims at developing a pipeline for super-resolution reconstruction of the fetal brain white matter from diffusion MRI data.

Short Bio

Hamza Kebiri received a bachelor and master degree in Communication Systems from the Ecole Polytechnique Fédérale de Lausanne (EPFL) in Switzerland, and a master degree in Cognitive Science (Neuroinformatics & Neuroscience) from Osnabrück University, in Germany.

He has worked in a variety of machine learning projects including his EPFL master thesis in fraud detection on an online banking system, and a big data analysis of health risks from six hospitals.

In 2017, he joined the Connectomics department of the Max Planck Institute for Brain Research in Frankfurt. Under the direction of Prof. Moritz Helmstaedter, he focused on the segmentation and reconstruction of multibeam scanning electron microscopy (mSEM) data using deep learning.

Since May 2019, he is pursuing a PhD thesis in the Life Science program of the Lausanne University under the supervision of Dr. Meritxell Bach Cuadra, supported by the Swiss National Science Foundation (SNSF) project 182602. The objective is to reconstruct white matter fiber bundles of the in vivo — in utero fetal brain from diffusion magnetic resonance imaging (dMRI) data.