Elasticity Imaging with Deep Learning
Deep learning methods for mapping tissue mechanics from displacement fields and synthetic finite-element training data.
Deep learning methods for mapping tissue mechanics from displacement fields and synthetic finite-element training data.
Adjoint-based nonlinear inverse mechanics for recovering HUVEC surface tractions.
Top 88 of 468 teams in a large-scale image labeling competition with distribution shift.
Postdoctoral research on inverse problems in electromagnetics and acoustoelastics.
Top 10% of 3,967 teams with LightGBM and engineered click-count/time-interval features.
Silver medal, top 5% of 4,551 teams, using neural and classical NLP ensembles.
Silver medal, top 1% of 3,779 teams, with a temporal-aware stacked learning pipeline.
IBM-funded CNN project for identifying circuit-board lithography defects.
Adjoint-based inverse elasticity and adaptive meshing for biological tissue property recovery.
CNN-based eye-gaze tracking from 50,000 face snapshots.
Datathon project predicting hospital utilization from county-level health resource features.
Denoising, inpainting, compressive sensing, and segmentation with variational PDE methods.
Barnes-Hut and brute-force N-body algorithms benchmarked in serial and parallel implementations.
A MATLAB tool for approximating real-time call and put option chains from a stock ticker.
Inverse elasticity reconstruction of shear modulus from ultrasonic displacement fields.
LS-DYNA and HyperMesh simulation for inverse axle-load estimation from bridge response.
Simulation and reliability analysis for CSIP behavior under hurricane, wind, impact, and seismic hazards.
LS-DYNA impact simulation and experimental comparison for glass fiber reinforced structural panels.
Matched-filter signal processing for truck axle detection from bridge strain data.
Dynamic simulation of composite sandwich insulated panels under varying wind loads.
Finite element modeling of a highway bridge under AASHTO-style truck loads.