Infusing Predictive Artificial Intelligence into Scalable Scientific and Engineering Modeling and Simulations
This 2.5-day program introduces participants to mechanistic computational intelligence (CI) tools, described as “a new branch of predictive AI within computational science and engineering.”
The curriculum focuses on merging machine learning—particularly hierarchical neural networks—with traditional simulation approaches to address complex engineering problems.
June 25-27, 2025
Evanston, IL
2.5 Days
Computational and AI applications in science and engineering
High-precision simulation techniques handling extreme computational scales
AI-enhanced design optimization methods
Integration of data-driven training with data-free solving approaches
Hands-on experience with HIDENN-AI software applied to real-world problems
Co-founder
Northwestern University
Co-founder
UT Dallas
Technical Lead
HIDENN-AI
Software Developer
HIDENN-AI
Software Developer
HIDENN-AI
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