Energy Transition
We develop methods and tools to ensure that energy systems are operated efficiently, reliably, and can adapt to changing environments. This requires solving two challenges simultaneously: ensuring that current operations […]
Jan Drgona is an Associate Professor in the Department of Civil and Systems Engineering at Johns Hopkins University (JHU), where he is a core faculty member of the Ralph S. O’Connor Sustainable Energy Institute (ROSEI) and an associate member of the Data Science and AI Institute (DSAI). Before joining JHU, Jan was a Senior Data Scientist in the Physics and Computational Sciences Division at the Pacific Northwest National Laboratory (PNNL), where he continues to hold a joint appointment. Jan previously worked as a postdoctoral researcher in the Mechanical Engineering Department at KU Leuven, Belgium, and received his PhD in Control Engineering from the Slovak University of Technology in Slovakia. His research is focused on scientific machine learning for modeling, optimization, and control of cyber-physical systems with applications to sustainable energy.