Scholar
Johan Suykens
Google Scholar ID: WtBmh0UAAAAJ
Professor, KU Leuven
Citations & Impact
Citations
17,831
H-index
56
i10-index
237
Publications
20
Co-authors
178
list available
Contact
No contact links provided.
Publications
Resume (English only)
Academic Achievements
- Author of several books such as 'Artificial Neural Networks for Modelling and Control of Non-linear Systems' and 'Least Squares Support Vector Machines'; received numerous awards including the 1999 IEEE Signal Processing Society Best Paper Award, 2019 Entropy Best Paper Award, and the 2024 IEEE Neural Networks Pioneer Award; led several major projects funded by the European Research Council.
Research Experience
- Was a Visiting Postdoctoral Researcher at the University of California, Berkeley in 1996; later became a Postdoctoral Researcher with the Fund for Scientific Research FWO Flanders; currently a full Professor at KU Leuven. Has served as an associate editor for several IEEE transactions and organized multiple international conferences and workshops.
Education
- Received a master's degree in Electro-Mechanical Engineering from KU Leuven in 1989; obtained a PhD in Applied Sciences from KU Leuven in 1995.
Background
- Research interests include modeling and control of nonlinear systems, support vector machines, etc. Specializes in electro-mechanical engineering and applied sciences.
Miscellany
- Hobbies and personal interests not specifically mentioned. Involved in or leading various AI-related initiatives, including being a member of the Executive and Steering committee of Leuven.AI Institute at KU Leuven and Chairman of the GenAI Expert Committee at KU Leuven.
