Optimal placement of portable charging stations on UW–Madison campus via network optimization (Julia/JuMP). CS 524 Final Project, Spring 2026.
MiniZinc implementation of a surface-based formulation of the Traveling Salesman Problem (EuroCG 2026 preprint).
Nurse scheduling optimization prototype using MILP. Web interface built with Python, Streamlit, and PuLP. Generates cost-effective schedules with regulatory compliance.
Battery charging and discharging planning
간호사 3교대 근무표 자동 생성 데스크톱 앱 — PuLP + HiGHS 수리최적화 솔버 기반, Electron, 오프라인 동작
Journal-grade reproducible pipeline for reliability-aware multi-UAV routing under risk & soft time windows (TR-E).
Evaluation of HiGHS: the software for the definition, modification and solution of large scale sparse linear optimization models.
Production FastAPI microservice with SciPy HiGHS primal-dual linear programming solver and dual shadow price attribution for B2B CPaaS customer acquisition allocation, reducing CAC by 8.3% while maximizing customer lifetime value ($35.8M LTV acquired) under sub-150ms p95 latency.
Linear programming optimizer for production planning and resource allocation using SciPy HiGHS solver across multiple demand scenarios.
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