iiinova — where your digital self keeps evolving

Reposted by Jan Drgona

Climate Change AI @climatechangeai.bsky.social · 25/06/2026

Register for the Climate Change AI Virtual Summer School 2026 starting July 19! The program will feature an exciting lineup of lectures and tutorials exploring the intersections of artificial intelligence and climate action. 🎉🤖🌱

1118 0

Reposted by Jan Drgona

Climate Change AI @climatechangeai.bsky.social · 09/06/2026

Excited to announce the fourth Climate Change AI Summer School (virtual, July 19–August 22, 2026)! 🎉 Are you an #AI or #DataScience expert who wants to tackle #ClimateChange? Are you a #climate expert trying to use #ML in your work? Register here 👉 www.climatechange.ai/events/summe...

164 0

Reposted by Jan Drgona

Johns Hopkins Data Science and AI Institute @hopkinsdsai.bsky.social · 19/12/2025

Join us in advancing data science and AI research! The Johns Hopkins Data Science and AI Institute Postdoctoral Fellowship Program is now accepting applications for the 2026–2027 academic year. Apply now! Deadline: Jan 23, 2026. Details and apply: apply.interfolio.com/179059

0119 0

Jan Drgona @drgona.bsky.social · 11/12/2025

LEADS involves 14 institutions (5 national labs, 8 universities and 1 US Navy lab). It will introduce a paradigm shift into research by integrating SciML directly into domain-specific challenges.

000 0

Jan Drgona @drgona.bsky.social · 11/12/2025

Excited about the future of scientific machine learning under these DOE investments into our new Scidac institute called Learning Accelerated Domain Sciences (LEADS).

100 0

Jan Drgona @drgona.bsky.social · 06/12/2025

I am traveling to CDC 2025 in Rio today! If you are also attending, consider joining our workshop: Physics-Informed Learning for Control: Theory and Practice Tuesday, December 9 Room Oceania VII Rio de Janeiro – CDC 2025 Workshop information: sites.google.com/view/2025cdc...

030 0

Jan Drgona @drgona.bsky.social · 26/10/2025

When and where: Tuesday, October 28 | 1:15 PM - 2:30 PM Session Title Machine Learning for Optimization Room GWCC Building B Level 2 B201 talk info: submissions.mirasmart.com/InformsAnnua... session info: submissions.mirasmart.com/InformsAnnua...

submissions.mirasmart.com

JavaScript Detection

000 0

Reposted by Jan Drgona

Ralph O'Connor Sustainable Energy Institute (ROSEI) @energyathopkins.bsky.social · 16/10/2025

ROSEI is excited to unveil its first ever annual report, highlighting a year of rapid growth, groundbreaking research, and expanding impact! Explore the report and learn more about how the future of sustainable energy starts at JHU 🌎🔋💡 #HopkinsEnergy Report: energyinstitute.jhu.edu/annual-repor...

044 0

Jan Drgona @drgona.bsky.social · 03/10/2025

I would like to thank Priya Donti for the invitation and all the faculty and students I met for wonderful discussions on computing and sustainability!

010 0

Jan Drgona @drgona.bsky.social · 03/10/2025

It was an absolute pleasure to give a talk at the Computing and Sustainability Seminar, hosted by MIT Laboratory for Information and Decision Systems (LIDS). You can watch the recording here: www.youtube.com/watch?v=W9Lo...

youtube.com

2025 LIDS Computing and Sustainability Seminar: Jan Drgona (Johns Hopkins University)

YouTube video by MIT Laboratory for Information and Decision Systems (MIT LIDS)

110 0

Jan Drgona @drgona.bsky.social · 26/09/2025

This release was supported by the Ralph O’Connor Sustainable Energy Institute at Johns Hopkins University and by the EERE, BTO under the “Advancing Market-Ready Building Energy Management by Cost-Effective Differentiable Predictive Control” project.

000 0

Jan Drgona @drgona.bsky.social · 26/09/2025

Thanks to all contributors: Jan Boldocky, Aaron Tuor, Elad Michael

000 0

Jan Drgona @drgona.bsky.social · 29/08/2025

This year’s workshop will feature more tutorials and hands-on coding examples — bridging theory and practice to bring physics-informed ML to life. Organizers: Thomas Beckers, Truong Xuan Nghiem, Sandra Hirche, Rolf Findeisen, and Ján Drgoňa

000 0

Jan Drgona @drgona.bsky.social · 29/08/2025

We’re excited to announce the 2nd Workshop on Physics-Informed Machine Learning at CDC 2025 in Rio de Janeiro on December 9th! 🔗 Workshop details: sites.google.com/view/2025cdc... 📝 Register here: cdc2025.ieeecss.org/registration (Early registration ends soon!)

Jan Drgona @drgona.bsky.social · 24/07/2025

The Ralph O’Connor Sustainable Energy Institute at Johns Hopkins University also supported this research.

000 0

Jan Drgona @drgona.bsky.social · 24/07/2025

This research was supported by the U.S. Department of Energy through the Building Technologies Office under the Advancing Market-Ready Building Energy Management by Cost-Effective Differentiable Predictive Control project.

000 0

Jan Drgona @drgona.bsky.social · 24/07/2025

📜 Preprint: arxiv.org/abs/2403.12938 💻 Code: github.com/pnnl/NeuralD... Thanks to all co-authors, James Koch, Madelyn Shapiro, Himanshu Sharma, and Draguna Vrabie, for their contributions. Special thanks to James for leading this work, full of follow-up research potential.

arxiv.org

Learning Neural Differential Algebraic Equations via Operator Splitting

Differential algebraic equations (DAEs) describe the temporal evolution of systems that obey both differential and algebraic constraints. Of particular interest are systems that contain implicit relat...

000 0

Jan Drgona @drgona.bsky.social · 24/07/2025

Our paper on "Learning Neural Differential Algebraic Equations via Operator Splitting" was accepted to the IEEE CDC. If you don't have the time to read the full paper, check the paper summary with the Google Colab example at: drgona.github.io/NeuralDAEs/

drgona.github.io

Learning Neural Differential Algebraic Equations via Operator Splitting

Learning Neural Differential Algebraic Equations via Operator Splitting.

300 0

Jan Drgona @drgona.bsky.social · 03/07/2025

This release was supported by the Ralph O’Connor Sustainable Energy Institute at Johns Hopkins University.

000 0

Jan Drgona @drgona.bsky.social · 03/07/2025

🪲 Fixed Bugs: Fixed plot issues in several examples Fixed bug in CSTR system dynamics class in psl/nonautonomous.py Fixed bug in computing constraints violations and objective function values in L2O examples

100 0

Jan Drgona @drgona.bsky.social · 03/07/2025

Kudos to Tyler Ingebrand for integrating the FE examples in Neuromancer!

100 0

Jan Drgona @drgona.bsky.social · 03/07/2025

For more details on Function Encoders, check the papers by Tyler Ingebrand, Adam J. Thorpe, and Ufuk Topcu. Function Encoders: A Principled Approach to Transfer Learning in Hilbert Spaces arxiv.org/abs/2501.18373 Zero-Shot Transfer of Neural ODEs arxiv.org/abs/2405.08954

arxiv.org

Function Encoders: A Principled Approach to Transfer Learning in Hilbert Spaces

A central challenge in transfer learning is designing algorithms that can quickly adapt and generalize to new tasks without retraining. Yet, the conditions of when and how algorithms can effectively t...

000 0

Jan Drgona @drgona.bsky.social · 25/06/2025

🚀 Less than two weeks to go until the 2025 American Control Conference in Denver, Colorado! I’m excited for a packed schedule this year—with talks, a tutorial, a workshop, and most importantly, the chance to reconnect with friends and colleagues. 😊 sites.google.com/view/acc-phy...

lnkd.in

This link will take you to a page that’s not on LinkedIn

010 0

Jan Drgona @drgona.bsky.social · 12/06/2025

The spring semester is over, and my new course, "Introduction to Machine Learning and Control for Building Energy Systems," @jhu.edu is now complete. The material, including lecture slides and code examples, is freely available on GitHub. github.com/drgona/ML_an...

github.com

GitHub - drgona/ML_and_control_buildings_energy

Contribute to drgona/ML_and_control_buildings_energy development by creating an account on GitHub.

020 0

Jan Drgona @drgona.bsky.social · 25/04/2025

Are you planning to attend the American Control Conference 2025 in Denver? Consider joining our Workshop on Physics-Informed Machine Learning in Control: An Introduction, Opportunities, and Challenges 📅 Date: July 7, 2025 📍 Denver, Colorado 🔗 workshop details sites.google.com/view/acc-phy...

Jan Drgona @drgona.bsky.social · 18/04/2025

I am seeking a postdoctoral researcher to work on Scientific Machine Learning for Real-Time Decision Making. 📧 Interested candidates should send their CVs to my email: jdrgona1@jh.edu Please see the job description below for more information. www.linkedin.com/hiring/jobs/...

linkedin.com

LinkedIn Login, Sign in | LinkedIn

010 0

Jan Drgona @drgona.bsky.social · 26/02/2025

Huge thanks to all contributors to this release Rahul Birmiwal, Reilly Raab, Ali Reza Daneshvar Garmroodi.

000 0

Reposted by Jan Drgona

Ralph O'Connor Sustainable Energy Institute (ROSEI) @energyathopkins.bsky.social · 21/02/2025

Our final #EWeek2025 post highlights Ján Drgoňa, who recently joined Hopkins as an associate professor in the Department of Civil and Systems Engineering! He was asked "How could your research make a future impact in the fight against climate change?" #HopkinsEnergy

021 0

Reposted by Jan Drgona

Donna Vakalis @handle.invalid · 21/12/2024

Internship opportunity: Spatiotemporal Graph applications for Smart Buildings⚡⚡⚡ working closely with me, starting in early 2025. Considering applying or/and sharing this with your network please. Apply here: forms.gle/N3kwFxM3yEhS... LinkedIn ad here: www.linkedin.com/feed/update/...

033 0

Reposted by Jan Drgona

Ralph O'Connor Sustainable Energy Institute (ROSEI) @energyathopkins.bsky.social · 03/01/2025

New ROSEI researcher Q&A with @drgona.bsky.social just went live! He discussed how a project as an undergraduate shaped his passion for energy-efficient building controls, and why joining the Hopkins energy community was a "no-brainer." #HopkinsEnergy Story: energyinstitute.jhu.edu/rosei-resear...

energyinstitute.jhu.edu

ROSEI Researcher Q&A: Ján Drgoňa - Johns Hopkins - Ralph O’Connor Sustainable Energy Institute

This article is part of a series featuring Q&As with Ralph O’Connor Sustainable Energy Institute (ROSEI)-affiliated researchers. Next up is Ján...

042 0

Jan Drgona @drgona.bsky.social · 25/11/2024

FBKANs have been introduced in the paper: Finite basis Kolmogorov-Arnold networks: domain decomposition for data-driven and physics-informed problems authored by Amanda Howard, Bruno Jacob, Sarah Helfert Murphy, Alexander Heinlein, and Panos Stinis arxiv.org/abs/2406.19662

arxiv.org

Finite basis Kolmogorov-Arnold networks: domain decomposition for data-driven and physics-informed problems

Kolmogorov-Arnold networks (KANs) have attracted attention recently as an alternative to multilayer perceptrons (MLPs) for scientific machine learning. However, KANs can be expensive to train, even fo...

000 0

Jan Drgona @drgona.bsky.social · 25/11/2024

2D FBKAN example colab.research.google.com/github/pnnl/...

colab.research.google.com

Google Colab

100 0

Jan Drgona @drgona.bsky.social · 25/11/2024

In our latest NeuroMANCER release, we have two new examples demonstrating the use of Finite Basis Kolmogorov-Arnold Networks (FBKANs) for function approximation. 1D FBKAN example colab.research.google.com/github/pnnl/... #Neuromancer, #PNNL, #SciML, #KANs

colab.research.google.com

Google Colab

131 0