Kernel-Agnostic Method of Multipliers for GPU-Accelerated Nonlinear Programming
A GPU-friendly augmented-Lagrangian framework for large-scale constrained nonlinear programs.
Research Projects
Selected research projects, newest first. Each page links to the associated papers, talks, slides, and code.
GPU-Accelerated Bregman Douglas–Rachford Splitting for Discrete Optimal Transport
A scalable first-order solver for large-scale discrete optimal transport on the GPU.
Enabling Workforce Intelligence through Occupational Taxonomy Alignment
Aligning occupations across taxonomies via Fused Gromov–Wasserstein over a global task meta-network.
Wasserstein Motifs: Optimal Transport for Ecological Network Alignment
A rigorous, scalable optimal-transport framework for aligning food webs and extracting interaction backbones.
Networked Competitive Bivirus SIS Models: The Discrete-Time Case
Equilibrium analysis and simulation of two competing viruses spreading over networks in discrete time.
Evaluation of SSVEP Stimuli Design for Visual Field Assessment
Designing and evaluating SSVEP stimulus layouts for objective, BCI-based visual-field assessment.