Portrait of Issam Falih

Issam Falih

Associate Professor in Computer Science
Université Clermont Auvergne
LIMOS — UMR 6158 CNRS · CNU Section 27

My research focuses on machine learning applied to complex data — heterogeneous, multi-view and multimodal. I am particularly interested in domain adaptation, attributed network mining, and the explainability of deep models, with applications in e-health, multimodal emotion analysis and the study of chronic pain.

News

June 2026
Paper accepted at CAp 2026Online domain adaptation for data stream anomaly detection, with H. Tcheneghon Motcheyo and E. Mephu Nguifo.
June 2026
Paper accepted at ISMIS 2026Accelerating Gradual Pattern Discovery through Dimensionality Reduction, with H. Tcheneghon Motcheyo, L. Tiogning-Djiogue and E. Mephu Nguifo.
Apr. 2026
Thematic school on generative AI co-organized at the University of Yaoundé I (Cameroon), as part of the FDMI-AMG project supported by the CNRS DSCA program.
Dec. 2025
PhD defense of Jingyao WangEdge AI for e-health: application to mobility monitoring.
Dec. 2025
Presentation at the NeurIPS 2025 Workshop on Evaluating the Evolving LLM Lifecycle with C. M. Tran on the evaluation of LLM agents.