PhD Researches

Actual PhD Researches

• Reinforcement learning in chemical industries (Kinga Szatmári, 2023 - )

• Development of machine learning-based process engineering tools for handling uncertain information (Éva Kenyeres, 2024 - )

• Application of reinforcement learning in chemical process control (Balázs Fricz, 2025 - )

• Machine learning-based intensification of chemical processes (Gréta Tálosi, 2025 - )

• Development of Bayesian Deep Learning and Reinforcement learning algorithms (Martin Ferenczi, 2025 - )

• Unified Probabilistic Learning on Diverse Data Streams: Merging Advanced ML Models, Bayesian Uncertainty, and LLM-Based Explanations  (Lakshmi Vundru, 2025 - )

Finnished PhD Researches

• Development of tools based on data analysis methods supported by process simulation to improve chemical production/product quality (Gergely Horváth, 2021 - 2025)

• Process improvement with Industry 4.0 solutions (Pál Hanzelik, 2021 - 2025)