Celebrating Husam's PhD Milestone

Husam’s research focuses on AI-driven automation for mechanical design, with a particular emphasis on multimodal CAD generation. His work investigates how to effectively fuse diverse modalities to generate executable parametric CAD programs, grounded in real-world industrial datasets.

In parallel, he studies the architecture of Mixture-of-Experts (MoE) models widely used in large language and vision-language systems, developing data-driven strategies to optimize their structure for improved efficiency and better alignment with the underlying input space. He also explores multi-fidelity modeling techniques to enhance scalability and performance across engineering applications.