Thierry Denoeux

Thierry Denoeux is a Full Professor (Exceptional Class) at the Department of Information Processing Engineering, Université de Technologie de Compiègne, France. He holds senior membership in the Institut Universitaire de France (since 2019, reconducted 2024) and serves as Editor-in-Chief of the International Journal of Approximate Reasoning. His research focuses on reasoning and decision-making under uncertainty, with major contributions to the theory of belief functions and its applications in machine learning, statistical inference, and information fusion. Denoeux has authored over 350 publications and supervised 30+ PhD theses.

• Education: Graduated from École nationale des ponts et chaussées (PhD from same institution).
• Roles: President of the Belief Functions and Applications Society, Associate Editor of Fuzzy Sets and Systems, and other journals.

His research interests emphasize managing uncertainty in intelligent systems, with applications in medical imaging, data mining, and econometrics. Recent work includes evidential machine learning frameworks, uncertainty quantification in neural networks, and fusion of multimodal medical data.

Publications span topics like evidential clustering, fusion of uncertain data, and applications in hydrology and materials science. Over 150 journal articles and conference papers since 2020 alone reflect his prolific output in belief functions theory and its practical implementations.

• Awards: Senior IUF Membership (2019–present).
• Grants/Advising: Extensive supervisory experience in PhD and postdoctoral research, with notable contributions to interdisciplinary projects involving healthcare and environmental applications.

Denoeux collaborates internationally, leading initiatives in evidential AI and uncertainty-aware decision systems through his editorial and society leadership roles.