Bart De Moor

By training, I am an electrical engineer with a Ph.D. (1988) in System Identification from the KU Leuven in Belgium. After a two-year post-doc at Stanford, I became a full professor (1991) at KU Leuven, with research activities in data-driven mathematical engineering (numerical linear algebra and algebraic geometry, system identification and control, data science and machine learning), with main applications in the process industry and health (bioinformatics, clinical decision support systems). I co-founded eight spinoff companies in these areas. Three times I was the main science and technology advisor to Belgian ministers.

Having participated in many assessment initiatives worldwide, I can safely state that I admire the DNRF: its high standards of research assessment and support, its impactful Centers of Excellence, the Niels Bohr Professorships, and the foundation’s visionary leadership and its independence. All of these characteristics testify to the reputation and impact of the DNRF, which I like to cite everywhere I go as a fantastic role model for research funding.


Name (born) Bart de Moor (1960)
Current position Full Professor, Dept. Electrical Engineering, KU Leuven, Belgium
Elected period December 1, 2017 – November 30, 2021 (second period)
Appointed by The Ministry of Higher Education and Science
Independence Considered independent
Expertise Numeric linear algebra and Algebraic geometry, system identification and control, data science, machine learning, decision support systems (Health 2.0, Industry 4.0)
Education PhD Electrical Engineering, KU Leuven, Faculty of Engineering, Belgium
Selected board and committee appointments Fellow IEEE & SIAM

Board Member Flanders Biotech Institute

Chairman of the Board of Alamire Foundation

Chairman of the Board of Health House

Member of the Scientific Advisory Board of the Wallenberg Autonomous System and Software Program