Feeding trajectory optimization in fed-batch reactor with highly exothermic reactions. - Alex Kummer; Tamás Varga (Comput. Chem. Eng., 2017)

Genetic programming-based development of thermal runaway criteria. - Alex Kummer; Tamás Varga; János Abonyi (Comput. Chem. Eng., 2019)

NMPC-based control scheme for a semi-batch reactor under parameter uncertainty. - Alex Kummer; Lajos Nagy; Tamás Varga (Comput. Chem. Eng., 2020)

Semi-batch reactor control with NMPC avoiding thermal runaway. - Alex Kummer; Tamás Varga; Lajos Nagy (Comput. Chem. Eng., 2020)

Multi-agent reinforcement learning-based exploration of optimal operation strategies of semi-batch reactors. - Ádám Sass; Alex Kummer; János Abonyi (Comput. Chem. Eng., 2022)

Edge-Computing and Machine-Learning-Based Framework for Software Sensor Development. - Pál Péter Hanzelik; Alex Kummer; János Abonyi (Sensors, 2022)

Resilience-based explainable reinforcement learning in chemical process safety. - Kinga Szatmári; Gergely Horváth; Sándor Németh; Wenshuai Bai; Alex Kummer (Comput. Chem. Eng., 2024)

Data Reconciliation-Based Hierarchical Fusion of Machine Learning Models. - Pál Péter Hanzelik; Alex Kummer; János Abonyi (Mach. Learn. Knowl. Extr., 2024)

Generally Applicable Q-Table Compression Method and Its Application for Constrained Stochastic Graph Traversal Optimization Problems. - Tamás Kegyes; Alex Kummer; Zoltán Süle; János Abonyi (Inf., 2024)

Machine Learning Classifier-Based Metrics Can Evaluate the Efficiency of Separation Systems. - Éva Kenyeres; Alex Kummer; János Abonyi (Entropy, 2024)