Trustworthy Surrogates for Simulation Studies: Accuracy–Interpretability Tradeoffs and Explanation Consistency: an EV Charging Infrastructure Application

Project Details

• Student(s): Ali Tawil, Decile Chamichian
• Advisor(s): Dr. Maha Yazbeck
• Department: Industrial & Mechanical
• Academic Year(s): 2025-2026

Abstract

This project studies the use of surrogate models in simulation-based decision-making, with a focus on balancing predictive accuracy and interpretability. The work evaluates how reliably different models support operational insights in an electric vehicle charging infrastructure application.