Dr. Sha is invited to give a presentation on a workshop, “The Trove of CAD Informatics: Acquiring and Analyzing CAD Data for Design Process Insights and AI Applications,” at the 2024 IDETC/CIE conference. He will present SiDi Lab’s most recent work on cross-modal synthesis for 3D computer-aided design (CAD) generation. He will also join a panel discussion session and share his thoguths on how CAD informatics can support design research and design education.

Some relevant papers related to the presentation given are:

X. Li, Y. Sun, Z. Sha, “LLM4CAD: Multi-Modal Large Language Models for 3D Computer-Aided Design Generation,” ASME 2024 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, Washington DC, Aug. 25-28, 2024.

X. Li, Y. Wang, Z. Sha, “Deep-Learning Methods of Cross-Modal Tasks for Conceptual Design of Product Shapes: A Review,” Journal of Mechanical Design, volume 145, issue 4, pp: 041401 (20). DOI:  https://doi.org/10.1115/1.4056436.

X. Li, C. Xie, Z. Sha, “A Predictive and Generative Design Approach for 3D Mesh Shapes Using Target-Embedding Variational Autoencoder“, Journal of Mechanical Design, Transactions of the ASME, volume 144, issue 11, pp: 114501 (7). DOI: https://doi.org/10.1115/1.4054906.