Prof. Salah Bourennane is a Full Professor with over 35 years of research experience in signal and image processing, and has held major leadership roles such as Dean of Research at École Centrale Méditerranée and Head of the Multidimensional Signals Group at the Fresnel Institute. His research spans statistical and array signal processing, image processing, remote sensing, artificial intelligence, and tensor signal processing, reflecting a strong integration of theoretical foundations and modern AI paradigms (cf. Kay, Statistical Signal Processing; Cichocki et al., Tensor Decompositions). With more than 450 publications, extensive editorial responsibilities, leadership in major international conferences, and experience as Principal Investigator on large academic and industry-funded projects, he is widely recognized as a leading figure in the global signal processing community.

Research interests:

• Signal Processing
• Image & Multidimensional Data Processing
• Artificial Intelligence in Image Processing
• Remote Sensing & Geospatial Data
• Performance Analysis & System Evaluation

Prof. Salah Bourennane's contribution to the Chair and other Chair members will gain new studies about Explainable Artificial Intelligence applications in intelligent wearable systems, manufacturing, and healthcare areas. His studies and studies at the International Chair perfectly align to reach Industry 5.0 in the future.