Peter Pavlík

Research areas: machine learning, time series forecasting, ensemble learning, convolutional neural networks and interpretability

Position: PhD student

Peter is a research assistant focused on machine learning with experience mainly in time series prediction using both statistical and artificial intelligence approaches, ensemble learning and using convolutional neural networks with emphasis on interpretability. He worked on multiple projects in the energy domain and is interested in developing environmentally friendly solutions of the future.

Peter holds a Masters’ degree in Intelligent Software Systems from the Faculty of Informatics and Information Technologies STU. During his bachelor studies at FIIT, he was a member of the research oriented group of students, received the Best Bachelor Paper Award at the IIT.SRC 2018 faculty student research conference and graduated cum laude. After graduating, he worked as a data engineer in an international company where he gained industry knowledge on development and maintenance of Big Data processes.