PNNL

Before joining PNNL, Ján Drgoňa was a postdoc at KU Leuven, Belgium, working on the cloud-based implementation of model predictive control (MPC) in a real-world office building. Drgoňa has a PhD in Control Engineering from Slovak University of Technology in Bratislava, Slovakia. His PhD thesis titled “Model Predictive Control with Applications in Building Thermal Comfort Control” is focused on learning-based approaches towards solution of MPC. His MSc thesis was on the “Efficient Modeling of Hybrid Systems”, finalized during the research stay at Linköping University, Sweden.

• Model Predictive Control
• Constrained Optimization
• Domain-Aware Deep Learning
• Modeling and Control of Energy Systems

• Postdoc in Machine Learning and Optimal Control of Thermal Systems, KU Leuven
• PhD in Process Control, Slovak University of Technology, 2017 (summa cum laude)
• Visiting PhD in Machine Learning and Optimal Control of Thermal Systems, KU Leuven, 2017
• MSc in Information Engineering, Automation, and Mathematics, Slovak University of Technology, 2012
• Visiting MSc in Automatic Control, Linköping University, Department of Electrical Engineering, Spring 2012
• BSc in Information Engineering, Automation, and Mathematics, Slovak University of Technology, 2010

• Best Paper Award at Dynamic Systems and Control Conference, Energy Systems Technical Committee, The American Society of Mechanical Engineers
• Recipient, National Scholarship Program of the Slovak Republic
• Erasmus Mundus Scholarship, European Union