Dipl.-Ing. Wajih Hermi

Inter-brain coregistration based on brain activity: surface methods for a better understanding of voice information processing. The target is to implement algorithms for cortex surface coregistration, and taking into account the information measured by functional MRI. The outcome evaluation involves machine learning algorithms to identify invariant principles of brain function across subjects.

Evaluation of SIFT 3D descriptors for coregistration of MRI muscle volume images. The target of the project was to configure and test the relevance of the method using the SIFT library to match two volumic images of the same subject acquired at two different times with the muscle MRI.

The target was to make development of computer vision designated to for autonomous driving using stereo, visual odometry and 3D modeling using a set of images from the kitti 2D image database. Proposed solutions: 3D reconstruction of the images, prior recognition of the position of the road, Selection of the most likely route with the RANSAC method. / Tools: Python (PyCharm), 3D reconstruction, camera calibration, computer vision.

Design and implementation of an application for inventory management. The main objective of this project was to set up a web application that enables faster and more secure jobs for stakeholders. It allows to users to manage inputs and outputs of the stock of the Rayen Food Industries company specialized in the manufactory of baker's yeast. Technologies : Java 1.7, Spring Framework, Primefaces 5.0, apache-tomcat 7. With Scrum methodology.

Computer vision and Machine Learning : Python scripting Web development : Java/JEE, SQL databases, Frontend development

Software developer : * Backend development Java/JEE, C/C++, Oriented Object Development, SQL, Spring Framework * Frontend development HTML5, CSS3, Javascript