Keynote Lecture

Available Soon

 

Brief Bio
Johan Suykens is a full Professor with KU Leuven. He is author of the books "Artificial Neural Networks for Modelling and Control of Non-linear Systems" (Springer) and "Least Squares Support Vector Machines" (World Scientific), co-author of the book "Cellular Neural Networks, Multi-Scroll Chaos and Synchronization" (World Scientific) and editor of the books "Nonlinear Modeling: Advanced Black-Box Techniques", "Advances in Learning Theory: Methods, Models and Applications" and "Regularization, Optimization, Kernels, and Support Vector Machines". He has served as associate editor for the IEEE Transactions on Neural Networks and Learning Systems and the IEEE Transactions on Artificial Intelligence and action editor of Neural Networks. He is a recipient of the International Neural Networks Society INNS 2000 Young Investigator Award for significant contributions in the field of neural networks. He has been recently awarded the 2024 IEEE CIS Neural Networks Pioneer Award. He has served as a Director and Organizer of the NATO Advanced Study Institute on Learning Theory and Practice 2002, as a program co-chair for the International Joint Conference on Neural Networks 2004 and the International Symposium on Nonlinear Theory and its Applications 2005, as an organizer of the International Symposium on Synchronization in Complex Networks 2007, as co-organizer of the NIPS 2010 workshop on Tensors, Kernels and Machine Learning, as chair of ROKS 2013 International Workshop on Advances in Regularization, Optimization, Kernel methods and Support vector machines, and as chair of DEEPK 2024 International Workshop on Deep Learning and Kernel Machines. He has been awarded an ERC Advanced Grant 2011 and 2017, has been elevated IEEE Fellow 2015 for developing least squares support vector machines, and is an ELLIS Fellow. He is currently serving as program director for the Master AI program at KU Leuven.