معرفی
Fabrice MUHLENBACH is a Lecturer in Computer Science at Jean Monnet University of Saint-Étienne, where he has been working since September 2003. He conducts his research within the Hubert Curien Laboratory (UMR CNRS 5516), specifically as a member of the Connected Intelligence research team. His academic background is multidisciplinary, combining computer science with cognitive psychology and cognitive sciences.
MUHLENBACH's research focuses on artificial intelligence, particularly in improving recommendation processes from intelligent systems. His work addresses ethical considerations in AI and explores ways to escape the "filter bubbles" commonly encountered in recommendation systems. He has developed innovative approaches to recommendation systems that consider complementary cultural forms when users become saturated with similar content. His research also investigates the potential usefulness of knowledge from scientific disciplines outside one's expertise.
His publications demonstrate expertise in data mining, text mining, recommendation systems, and AI ethics. His work spans from theoretical foundations to practical applications, with notable contributions in clustering algorithms, semantic search, and health informatics. His research has practical implications, as evidenced by the industrial patent filed for a method of automatic multimedia content selection.
- Best Paper Award at ADMA 2017 conference
- Patent FR3046269 for "Method for automatic selection of multimedia content in a database" (2017)
- Contributions to Encyclopedia of Social Network Analysis and Mining (2014, 2017)
MUHLENBACH has supervised doctoral theses in recommendation systems and data mining, and has been actively involved in teaching various computer science subjects including data analysis, machine learning, and computer ethics. His work bridges technical aspects of AI with human-centered considerations, reflecting his background in both computer science and cognitive psychology.
