Federal Grant Award Summary

North Carolina State University received a $549,353 Faculty Early Career Development (CAREER) award from the National Science Foundation's Division of Chemical, Bioengineering, Environmental, and Transport Systems (Engineering program, CFDA 47.041) beginning July 1, 2026 and extending through June 30, 2031. This project will develop a dynamical-systems framework for analyzing and improving global optimization algorithms used in engineering design and machine learning. The primary deliverables include: (1) theoretical models representing optimization algorithms as dynamical systems evolving in function spaces; (2) data-driven analyses applying machine learning methods to identify patterns in solver behavior; and (3) autonomous performance improvement capabilities that enable solvers to self-optimize without manual parameter tuning. The research will encompass analysis of widely-used algorithms including stochastic gradient Langevin dynamics, branch-and-bound methods, outer approximation techniques, and black-box Bayesian optimization.

The project will produce practical benefits for industrial applications in process systems engineering, materials design, drug discovery, and product development by enabling engineers to better interpret solver decisions and accelerate solution discovery. Additionally, the award includes an educational component to integrate data science and computational skills into chemical engineering curricula and promote STEM career exploration among younger students. As a CAREER award, the project emphasizes integration of research innovation with workforce development objectives aligned with NSF Engineering program priorities.