2023 JMD Editor’s Choice Award Honorable Mention

August 9, 2024 Tony Sha News awards

Our paper “Graph Neural Network-based Design Decision Support for Shared Mobility Systems” won the 2023 ASME Journal of Mechanical Design (JMD) Editor’s Choice (Best Paper) Award Honorable Mention. Congratulations to Yinshuang Xiao, the first author of this paper, on this remarkable achievement! Her dedication and hard work were truly pivotal to the depth and completeness of the work.

The selection of awards was guided by the following criteria: (i) fundamental value of the contribution, (ii) expectation of archival value (e.g., expected number of citations), (iii) practical relevance to mechanical design, and (iv) quality of presentation.

The preprint: Y. Xiao, F. Ahmed, Z. Sha, “Graph Neural Network-based Design Decision Support for Shared Mobility Systems,” Journal of Mechanical Design, volume 145, issue 9, pp: 091703 (13).

CAD Informatics for Design | IDETC/CIE 2024 Workshop

August 9, 2024 Tony Sha News CAD, conference, design, workshop

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.

PhD Students Siyu Chen, Bam Thongmak, and Ronnie Stone Receive Prestigious Awards and Fellowships

August 9, 2024August 29, 2024 Tony Sha News awards

Three PhD students won various fellowships and awards recently. Congratualtions them on receiving these prestigous recognitions! Way to go!

Siyu Chen was selected to receive the George J. Heuer, Jr. Ph.D. Endowed Graduate Fellowship from the Cockrell School of Engineering in the academic year 2024-2025.

Ronnie Stone was selected to receive the travel award from NSF to attend the SFF conference. He was also selected to receive the NSF travel support to attend the 2024 Frontiers in Design Representation (FinDeR) Summer School held at the University of Maryland.

Bam Thongmak was selected as one of the 2024 Broadening Participation (BPart) Fellows by the Design Theory and Methodology (DTM) Technical Committee of ASME. The pictures were taken during the IDETC/CIE 2024 Conference in DC.