Multiphysics modeling of emerging resilient and sustainable systems represents an advanced research frontier, integrating diverse physical phenomena such as structural mechanics, fluid dynamics, thermal effects, and electromagnetic fields. This approach aims to accurately simulate complex systems, predicting their behavior and performance across varying conditions. The ultimate objective is to design systems that not only withstand disruptions but also remain sustainable over the long term, capable of adapting to evolving environmental and operational challenges. Dr. Makhmalbaf leads AI-enabled design efforts, collaborating closely with Dr. Chao, whose expertise in earthquake and structural engineering enhances the robustness of these simulations. Director Dr. Shahandashti plays a pivotal role in guiding research on AI’s strategic application in decision-making for innovative facade systems, ensuring these systems meet rigorous standards of resilience and sustainability.

Sample Publications

Multi‐Level Optimization of UHP‐FRC Sandwich Panels for Building Façade Systems – Artificial Intelligence in Performance‐Driven Design

Proactive Seismic Rehabilitation Decision Making for a Road Network Considering Multiple Assets’ Performance Uncertainties