Lehel Csató

Lehel Csató is a Professor at the Faculty of Mathematics and Informatics of Babeș-Bolyai University in Cluj-Napoca, Romania. His academic journey includes a PhD from Aston University and a postdoctoral position at the Max Planck Institute for Biological Cybernetics. He specializes in Machine Learning, Probabilistic Robotics, and Nonparametric Bayesian Methods, with a focus on Gaussian Processes and their applications in data analysis and robotics.

Teaching includes courses in Logic and Functional Programming (Hungarian), Numerical Modelling in Data Analysis (English), and Artificial Intelligence (Hungarian). His research emphasizes sparse Gaussian Process approximations and their use in reinforcement learning, robotics, and medical image analysis. He contributed to the development of the Sparse Online Gaussian Process toolbox.

Publications span topics from deep learning architectures to optimization techniques in neural networks. He has organized the ClujUAV drone navigation competition and collaborated on interdisciplinary projects involving robotics, vision, and medical data analysis.