Highlights

Postdoctoral Research · Scientific Machine Learning

Evolutionary Deep Neural Networks

Developing mesh-free, physics-informed neural network solvers for coupled physics problems in solid mechanics at Johns Hopkins University.

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Dynamic crack branching from the Fracture-Bench benchmark
Postdoctoral Research · Neural Operators

Fracture-Bench

Benchmarking neural-operator surrogates for fracture with shared datasets and consistent evaluation, enabling comparisons across scientific machine learning approaches.

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Large scale topology optimization results
Ph.D. Research · Structural Optimization

Large Scale Topology Optimization

Letting the optimizer decide where material should go inside a design domain — scaled up to large 3D problems in FEniCS with MPI parallelism, then 3D printed to see whether the answer really carries its load.

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Phase field fracture simulation with adaptive mesh refinement
Ph.D. Research · Fracture Mechanics

Phase Field Fracture and Mesh Adaptivity

Cracks as a smooth damage field rather than a moving boundary. Adaptive refinement guided by an energy-based error indicator keeps fast crack growth accurate without meshing the whole domain finely.

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Auxetic metamaterial expanding laterally under tension
Ph.D. Research · Metamaterials

Auxetic Metamaterials

Materials that get wider when you stretch them. The negative Poisson's ratio comes from the geometry of the microstructure, not the material — designed by topology optimization, then printed and tested.

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A collection of 3D printed lattice and metamaterial samples
Fabrication · 3D Printing

Some Cool 3D Printed Samples

The part of the work you can actually hold. Optimized geometries and metamaterial unit cells taken off the screen and onto the print bed, where a design either survives being squashed or it doesn't.

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The mesh processing pipeline from Gmsh through meshio and FEniCS to ParaView
Research Tooling · HPC

Parallel Processing

Getting a mesh from Gmsh into FEniCS and out to ParaView, then solving it across many cores — the pipeline behind every large simulation here.

U. M. Krishnan, A. Gupta, and R. Chowdhury. Working with complex meshes: The mesh processing pipeline. FEniCS 2021. doi: 10.6084/M9

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Comparison of solver convergence for good and bad quality meshes
Research Tooling · Meshing

Why Mesh Quality Matters

A badly shaped element is not just ugly — it costs iterations. Comparing convergence on good and bad meshes shows why quality metrics deserve attention before you ever hit run.

U. M. Krishnan, A. Gupta, and R. Chowdhury. Working with complex meshes: The mesh processing pipeline. FEniCS 2021. doi: 10.6084/M9

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Stepped building frame modelled in SAP2000
M.Tech Thesis · Earthquake Engineering

Seismic Response of Irregular Buildings

Stepped buildings and buildings on sloping ground are everywhere, yet the code says little about how their design forces should change. Across 32 frames I built an irregularity index and a magnification factor that pulls the code estimate back in line with the real response.

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The RCC residential building assessed at Brichgunj Military Station
B.Tech Project · Field Assessment

Condition Assessment of an RC Building

A G+2 residential block from 1991, no longer serviceable and with no structural drawings left. A rebound hammer and ultrasonic pulse velocity recovered its real concrete strength — and that revealed which beams and columns could no longer carry their load.

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