Research

The IDEA Lab conducts research at the intersection of artificial intelligence, computational mechanics, and biomedical engineering, addressing consequential challenges in intelligent manufacturing, human health, and climate-resilient agriculture.

5
Book Chapters
83
Journal Papers
57
Conference Papers
100
Abstracts

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IDEA Lab research projects arranged by five thematic areas

The five research thrusts of the IDEA Lab and their thematic intersections.

Five Research Thrusts

Thrust 1
Machine Learning Applications

Neural PDE solvers, NURBS-Diff differentiable programming, ML-accelerated topology optimization, and neural implicit geometry.

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Thrust 2
Engineering Analysis

Immersogeometric and isogeometric methods for mesh-free CFD and FSI on complex geometries, point clouds, and AI-generated shapes.

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Thrust 3
Cyber-Manufacturing

Real-time digital twins for additive manufacturing, LLM-driven G-code generation, and cybersecurity for networked AM systems.

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Thrust 4
Cardiac Modeling

Patient-specific FSI simulations, bioprosthetic valve design, and personalized cardiac therapy planning. NSF CAREER award recipient.

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Thrust 5
Plant Science Applications

3D plant modeling for climate-resilient crops using NeRFs, implicit neural representations, and multiscale geometric methods.

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Other Research Areas

GPU-accelerated CAD

High-performance geometric algorithms for CAD operations using GPU parallel computing, including distance queries, Hausdorff metrics, and surface intersections.
Non-Destructive Evaluation

Computational methods for NDE of composite structures, combining CAD geometry with simulation to detect defects without physical inspection.
Scientific Visualization

GPU-accelerated volume rendering and post-processing tools for isogeometric analysis results, enabling real-time visualization of complex simulation data.

Selected Publications Full list

Recent highlights spanning all five research thrusts.

Spotlight

Recent Highlights