Dr. Fahd Bouzaraa

Machine Learning and Artificial Intelligence Expert -Responsible for developing, implementing and testing deep learning-based proof-of-concepts (semantic segmentation, Lane ID estimation, etc.) for autonomous driving systems. -Development and implementation of a semi-automatic labeling tool for the purpose of creating semantic segmentation datatsets. Tools: C++, Matlab, Python, Caffe, PyTorch, Caffe2, Qt and Qt GUI.

Doctoral candidate at “Huawei European Research Center” in Cooperation with the “Technische Universität München (TUM)”, Department of Data Processing. Thesis Topic: Multi-view Computational Photography, Deep Learning Tools: C++, Matlab, Qt and Latex. Link: https://mediatum.ub.tum.de/1351834

Master-thesis at the R&D Department of “Huawei European Research Center” in Munich. Topic: High Dynamic Range Stereo Imaging. Tools: C++, Matlab, Qt and Latex

Internship at the R&D Department of the ARRI Group in Munich. Topic: Evaluation of Algorithms for Optical Flow Computation.

High Dynamic Range Imaging Systems for Dynamic Scenes

Studies “Electrical Engineering and Information Technology” at the “Technische Universität München (TUM)” – Master Program. Modules: Information Technology, Signal-and Image Processing, Computer Vision. Degree: Master of Science (M.Sc.).

Studies “Electrical Engineering and Information Technology” at the “Technische Universität München (TUM)” – Bachelor Program. Modules: Information Technology, Signal-and Image Processing, Computer Vision. Degree: Bachelor of Science (B.Sc.).