Issam Falih
I am an Associate Professor at Université Clermont Auvergne, affiliated with the Laboratoire d'Informatique, de Modélisation et d'Optimisation des Systèmes (LIMOS – UMR 6158 CNRS). Prior to this position, I obtained my Ph.D. in Applied Computer Science from Université Sorbonne Paris Nord, focusing on unsupervised learning and network clustering methods for recommender systems.
Before my doctoral studies, I earned a Master’s degree in Intelligent Systems and Machine Learning from Université Paris Dauphine and an Engineering degree in Computer Science from the Institut National de Statistique et d'Économie Appliquée (INSEA), Morocco.
Research interest:
- Graph-Based Machine Learning and Unsupervised Clustering
- Domain Adaptation and Transfer Learning
- Explainable AI and Deep Learning
- Applications to recommender systems, health-related areas, and remote sensing
Latest news:
- Post-doc position available: Multi modal learning
- 02/2025 Accepted paper at JML Journal: Theoretical guarantees for domain adaptation with hierarchical optimal transport