Madjeda Touatit

Computer Vision PhD researcher with a Master's degree in Artificial Intelligence and a Bachelor's degree in Computer Science and Mathematics. Experienced in developing computer vision algorithms for camera pose estimation, 3D vision, visual localization, and image processing. Hands-on experience with Python, PyTorch, OpenCV, NumPy, C++, MATLAB, and Linux.

Research experience includes 2D–3D correspondence, camera geometry, feature detection and matching, point clouds, fisheye imagery, and the KITTI-360 dataset. Strong mathematical foundation with a particular interest in perception, object detection, tracking, and real-time computer vision systems.

PhD Researcher – Computer Vision at UNIVERSITY OF SZEGED (2021-01 – Present)

• Develop and test computer vision algorithms for camera pose estimation using fisheye camera images and geometric constraints.
• Investigate 2D–3D correspondence methods by matching image features with 3D information from point cloud-based representations.
• Work with the KITTI-360 dataset, including camera images and 3D point cloud data, for visual localization experiments.
• Implement feature detection, descriptor-based matching, and geometric verification pipelines using Python.
• Apply camera geometry, multi-view geometry, and pose estimation techniques for localization problems.
• Design experiments to evaluate algorithm robustness, accuracy, and sources of error.
• Work in Linux-based environments for algorithm development, data processing, and experimentation.

PhD in Computer Vision – UNIVERSITY OF SZEGED (2021-01)

Master of Science in Computer Science – UNIVERSITY OF BATNA 02 (2021-01 – 2021-12)

Bachelor of Science in Computer Science and Mathematics – UNIVERSITY OF BATNA 02 (2019-01 – 2019-12)

Erasmus+ Exchange Student – Riga Technical University (2018-09 – 2019-01)