Adarsh Krishnamurthy

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Associate Professor

Iowa State University

United States

Research Interests

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Recent Grants

Grant: Close

Shape-Conformal, High-Resolution Aerosol Jet Printing of Electronics (SHAPE)

Open Date: 2022-10-01

Close Date: 2025-09-30

Grant: Close

LEAP-HI: AI-Optimized 3D Printing of Super-Soft Materials for Personalized Sensing

Open Date: 2021-08-01

Close Date: 2026-07-31

Grant: Close

CAREER: GPU-Accelerated Framework for Integrated Modeling and Biomechanics Simulations of Cardiac Systems

Open Date: 2018-03-01

Close Date: 2023-02-28

Grant: Close

CM: Machine-Learning Driven Decision Support in Design for Manufacturability

Open Date: 2016-09-01

Close Date: 2019-08-31

Grant: Close

PFI:BIC- A Smart Service System for Traffic Incident Management Enabled by Large-data Innovations (TIMELI)

Open Date: 2016-09-01

Close Date: 2019-08-31

Articles (19)

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Collaborators (2)

James Afful

Iowa State University

UNITED STATES

View details

Alberto Passalacqua

Associate Professor

Iowa State University

UNITED STATES

View details

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Adarsh Krishnamurthy

Research Interests

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Recent Grants

Articles (19)

Evaluating neural radiance fields (NeRFs) for 3D plant geometry reconstruction in field conditions

Latent diffusion models for structural component design

Machine learning approaches for improving atomic force microscopy instrumentation and data analytics

NURBS-based path planning for aerosol jet printing of conformal electronics

NeuFENet: Neural finite element solutions with theoretical bounds for parametric PDEs

Neural PDE solvers for irregular domains

Optimal surrogate boundary selection and scalability studies for the shifted boundary method on octree meshes

A computational framework for transmission risk assessment of aerosolized particles in classrooms

Direct immersogeometric fluid flow and heat transfer analysis of objects represented by point clouds

Optimization framework for patient-specific modeling under uncertainty

3D reconstruction of plants using probabilistic voxel carving

CyRSoXS: A GPU-accelerated virtual instrument for polarized resonant soft X-ray scattering

Deep Learning for Live Cell Shape Detection and Automated AFM Navigation

GPU-Accelerated Collision Analysis of Vehicles in a Point Cloud Environment

NURBS-Diff: A differentiable programming module for NURBS

Physics-aware machine learning surrogates for real-time manufacturing digital twin

Multi-resolution 3D CNN for learning multi-scale spatial features in CAD models

Algorithm consistent deep learning for structural topology optimization

Direct 3D printing of multilevel voxel models

Collaborators (2)

James Afful

Alberto Passalacqua

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