Ján Drgoňa
3400 N Charles St,
Baltimore, MD 21218
I am an associate professor in the Department of Civil and Systems Engineering at Johns Hopkins University (JHU). I hold a secondary appointment at the Department of Electrical and Computer Engineering, and I am the core faculty member of the Ralph S. O’Connor Sustainable Energy Institute (ROSEI), and an affiliate of the Data Science and AI Institute (DSAI).
Previously, I was a research data scientist at the Pacific Northwest National Laboratory (PNNL), and a postdoc at KU Leuven in Belgium. I did my PhD in process control from Slovak University of Technology.
My project portfolio is focused on differentiable programming and scientific machine learning (SciML) for dynamical systems, constrained optimization, and control with applications to sustainable energy systems.
I am a lead software developer of Neuromancer SciML library in PyTorch for solving constrained optimization, physics-informed machine learning, and optimal control problems.
news
| Oct 6, 2025 | I gave a talk at the roundtable event on Construction and Environmental Aspects of Data Centers hosted by the University of Maryland’s Department of Civil and Environmental Engineering. |
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| Oct 4, 2025 | I gave a talk on Scientific Machine Learning at JHU’s Connect to Campus 2025 event. |
| Sep 29, 2025 | I gave a talk at the Computing and Sustainability Seminar, hosted by MIT’s Laboratory for Information and Decision Systems (LIDS). |
| Jul 7, 2025 | I had a packed program at the ACC 2025 in Denver, CO. I co-organized workshop on Physics-Informed Machine Learning in Control. I co-organized a tutorial session on Safe Physics-Informed Machine Learning for Dynamics and Control. I also presented my work on differentiable predictive control (DPC) in a tutorial session on Learning Interpretable Control Policies: Unifying Reinforcement Learning, Differentiable Programming and Bayesian Optimization. All my ACC slides are available at GitHub. |
| Jun 22, 2025 | I gave a talk at the EU-JHU Energy Technology & Science Bridge. |