Bálint Gyires-Tóth is a senior lecturer at BME. He conducts research on fundamental and applied machine learning since 2007. With his leadership, the first Hungarian hidden Markov-model based Text-To-Speech (TTS) system was introduced in 2008. He obtained his PhD degree with summa cum laude in January 2014. Since then, his primary research field is deep learning. His main research interests are sequential data modeling with deep learning, self-supervised learning and deep reinforcement learning. He also participates in applied deep learning projects, like time series classification and forecast, anomaly detection, image and audio classification and natural language processing. He was involved in various successful research and commercial projects. In 2017 he was certified as NVidia Deep Learning Institute (DLI) Instructor and University Ambassador.
Projects related to AI :