I conduct research on fundamental and applied machine learning since 2007. With my leadership, the first Hungarian hidden Markov-model based Text-To-Speech (TTS) system was introduced in 2008. I obtained my PhD degree with summa cum laude in January 2014. Since then, my primary research field is deep learning. My main research interests are sequential data modeling with deep learning, self-supervised learning and deep reinforcement learning. I also participate in applied deep learning projects, like time series classification and forecast, image and audio classification and natural language processing. I was involved in various successful research and industrial projects. In 2017 I was certified as NVidia Deep Learning Institute (DLI) Instructor and University Ambassador.
Angelus Barbara
ISZT Nonprofit Kft. – Marketing- és kommunikációs vezető
+36 30 950 7815 – angelus.barbara@domain.hu
Kerekes Karina
Goodevent Rendezvényszervező Kft.
+36 70 442 6061 – kerekes.karina@goodevent.hu
I conduct research on fundamental and applied machine learning since 2007. With my leadership, the first Hungarian hidden Markov-model based Text-To-Speech (TTS) system was introduced in 2008. I obtained my PhD degree with summa cum laude in January 2014. Since then, my primary research field is deep learning. My main research interests are sequential data modeling with deep learning, self-supervised learning and deep reinforcement learning. I also participate in applied deep learning projects, like time series classification and forecast, image and audio classification and natural language processing. I was involved in various successful research and industrial projects. In 2017 I was certified as NVidia Deep Learning Institute (DLI) Instructor and University Ambassador.