Computational mechanics · Machine learning

Understanding
soft materials.

I study how soft materials deform and fail, combining computational mechanics and machine learning with applications in heart valve biomechanics.

Explore my work
From heart valve to fiber network A schematic three-leaflet aortic valve is shown from above. The view zooms into a leaflet to reveal an intersecting collagen fiber network undergoing gentle deformation, then returns to the valve. Conceptual illustration, not anatomical or simulation data. 01 / AORTIC VALVE 02 / COLLAGEN FIBER NETWORK
Valve → tissue → fibers
Nishan Parvez
Nishan Parvez, PhDPostdoctoral Research Fellow

Currently studying heart valve biomechanics at Children’s Hospital of Philadelphia. PhD in Mechanical Engineering, Rensselaer Polytechnic Institute.

Research areas

Selected work.

Mechanics, across scales
01

Biomechanics / Current research

Heart valve
biomechanics.

Modeling heart valve deformation to understand how soft biological tissues respond to complex loading.

Soft tissueFinite elements
Discuss this research
02

Machine learning / Constitutive modeling

Physics-preserving
machine learning.

Physics-preserving neural networks that connect fiber-scale behavior to efficient continuum simulations.

Neural networksMaterial models
Read the paper
03

Fiber networks / Damage & fracture

Fiber networks
and fracture.

Exploring how microscopic connectivity shapes elasticity, crack growth, and the transition from brittle to ductile failure.

FractureMultiscale mechanics
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From the research

Selected publications.

All on Google Scholar
2025

A physics preserving neural network based approach for constitutive modeling of isotropic fibrous materials

N. Parvez, J. Merson · Engineering with Computers

2025

Crack Insensitivity and Brittle to Ductile Transition in Network Materials

N. Parvez, C. Picu · Journal of the Mechanics and Physics of Solids

2023

Stiffening mechanisms in stochastic athermal fiber networks

N. Parvez, J. Merson, C. Picu · Physical Review E

More publications

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Research & collaboration.

For research inquiries and opportunities to collaborate.

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