Lehel CSATÓ is a professor at the Faculty of Mathematics and Computer Science, Babeș-Bolyai University, Romania. He had finished his PhD at Aston University (UK) and the focus of his research was the use of probabilistic non-parametric methods for inference using latent variable models. He is interested in mathematical aspects of machine learning, providing approximate solutions for inverse problems, performing sparse inference on large systems with applications to robotics, classification of complex data, and active learning. With the onset of the deep learning models, his interests shifted to a more profound and principled understanding of the working of deep systems; why these systems work, when do they work reliably and when are they likely to fail. His research includes the mathematical understanding of self-explainable deep learning models, studying explainable wavelet-based image classification and segmentation methods, and model simplifications using pruning techniques. |
Marie DEMLOVÁ received her Ph.D. degree in mathematics at the Charles University in Prague, Czechoslovakia. She is a full professor at the Czech Technical University in Prague. She served as a Head of the Department of Mathematics, Faculty of Electrical Engineering, Czech Technical University in Prague, from 1994 till 2006, and was a Vice-dean for Education from 2007 till 2013. She was a Chairman of the SEFI Mathematics Working Group from 2003 till 2009, and is a member of the Steering Committee of SEFI MWG since. Her research includes theoretical computer science, semigroup theory, automata theory, and mathematics education. |
Imre HORVÁTH is a professor emeritus of the Faculty of Industrial Design Engineering at the Delft University of Technology, the Netherlands. He is an internationally recognized expert in engineering design research and is known for his pioneering work concerning the evolution of the paradigm of intellectualized cyber-physical-social-human systems. He has been the author of more than 550 publications and was cited more than 5000 times. He has been the lead editor of several international journals. He was the initiator and organizer of the series of international Tools and Methods of Competitive Engineering symposia. His current research interests are in transdisciplinary systems research methodologies, synthetic systems knowledge, intellectualized cyber-physical-social-human systems, and self-managed autonomous learning approaches. |
Péter KÖRTESI |