Computational mechanics
Modeling fracture, coupled physics, and structural response with efficient numerical methods.
Research · Engineering · Discovery
Postdoctoral Research Fellow at Johns Hopkins University
Exploring how computational mechanics and scientific machine learning can help us understand, design, and improve engineering systems.

Computational mechanics &
scientific machine learning
Areas of focus
Modeling fracture, coupled physics, and structural response with efficient numerical methods.
Combining physical principles and neural networks to solve challenging engineering problems.
Exploring material layouts and metamaterials through simulation, optimization, and fabrication.
Selected work
Explore projects, simulations, and the lessons behind the work.
I'm always happy to discuss research ideas, collaborations, or opportunities. Reach me at ukrishn4@jh.edu or fill in the form below.