My Name is ASSAAD ZEGHINA, I was born in Batna, Algeria. I studied Artificial Intelligence at Batna 2 University (master's) and i obtained a second master's degree from Paris City Univercity (Descartes) and obtained my PhD in December 2024, from the University of Strasbourg. I am currently looking for new challenges, particularly a Maître de Conférences (MCF) position in computer science, where I can continue my research in AI, deep learning, and graph-based machine learning. I have always dreamed of becoming a scientist, and I have worked hard to achieve this goal. Along my journey, I gained professional experience by developing small software solutions and websites for individuals and companies, and laboratories. My research interests include Deep Learning, computer vision, NLP, data science, and graph-based deep learning. During my PhD, I worked on frequent motif mining in spatiotemporal graphs using deep learning and reinforcement learning, leading to the development of Deep-QMiner, a multi-agent deep reinforcement learning approach. I also contributed to Multi-SPMiner, an adaptation of SPMiner for spatiotemporal multigraphs using deep learning. My work involved evaluating these methods on synthetic and real-world datasets, including Corine Land Cover and Register Parcel Graphs. Beyond research, I have experience in teaching and have teached courses like computer architecture, human-machine interaction, advanced programing, software architecture and more...