Adaptive DOE for Discrete-Event Simulation Metamodels Using Uncertainty-Guided Sampling: an EV Charging Infrastructure Application

Project Details

• Student(s): Elio Saliba, Elio Tamer Youssef, Sean Abi Gerges
• Advisor(s): Dr. Maha Yazbeck
• Department: Industrial & Mechanical
• Academic Year(s): 2025-2026

Abstract

This project investigates adaptive experimental design methods for improving the efficiency of simulation metamodeling. The approach is demonstrated using an electric vehicle charging infrastructure application, with the goal of obtaining accurate insights while reducing the number of required simulations runs.