Sustainable Intelligent Multiphysics Manufacturing and Advanced Materials Processing Lab
We advance sustainable and intelligent manufacturing through a combination of multiphysics modeling, additive manufacturing, and experimental investigation. Our research integrates AI/ML and digital twin approaches with hands-on fabrication and advanced characterization to study process–structure–property relationships across materials and surface systems. By bridging simulation, experiments, and data-driven methods, we develop high-performance, scalable solutions for next-generation engineering applications in aerospace, biomedical, and energy technologies.
Research
The SIMMAP Lab focuses on advancing sustainable and intelligent manufacturing through the integration of multiphysics modeling, additive and advanced manufacturing, and rigorous experimental investigation. Our research combines physics-based simulation, AI/ML-driven modeling, and digital twin frameworks with hands-on fabrication and advanced in-situ and ex-situ characterization techniques to study complex process–structure–property relationships across materials and surface systems. We investigate thermal-fluid interactions, interfacial phenomena, and microstructural evolution in manufacturing processes, with an emphasis on controlling performance, reliability, and scalability. By bridging computational, experimental, and data-driven approaches, the lab develops high-performance, adaptive, and energy-efficient engineering solutions for next-generation applications in aerospace, biomedical, and energy systems.
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