01 / Power grid assets
Physics-informed digital twins
Fast thermal insight for bushings and fluid-immersed transformers under changing load and weather.
Explore project →SCIENTIFIC MACHINE LEARNING · ENGINEERING AI
Tittu Varghese
Mathew, PhD
Engineering physics.
Intelligent systems.
I develop physics-aware artificial intelligence for complex engineering problems across energy, advanced manufacturing, and structural integrity.
THE CONNECTING THREAD
Engineering Physics
× Artificial Intelligence
How can we combine physical laws, engineering knowledge, and machine learning to create AI systems that remain useful beyond the training dataset?
My work brings together computational mechanics, neural operators, Neural ODEs, and uncertainty quantification to turn high-fidelity simulation into practical AI systems.
SELECTED PROJECTS
Research with an industrial purpose.
02 / Structural integrity
Neural ODEs for fatigue crack growth
Continuous crack-growth models that connect loading, material physics, and uncertainty.
Explore project →03 / Advanced manufacturing
Scientific ML for manufacturing
Sensor-informed dynamics for composite processing, casting, and manufacturing quality.
Explore project →Conceptual illustrations · not measured or simulated results
10+Research papers
2Patent applications filed
GTC 2024Scientific ML presentation
2025Passion for Energy recognition
RESEARCH INTERESTS
Physical structure. Learned dynamics.
Uncertainty-aware decisions.
THE NEXT CONVERSATION