Dr. Zhenghui Sha received the national-level award at the ASME International Design Engineering Technical Conference this month.

The American Society of Mechanical Engineers held its annual International Design Engineering Technical Conference in St. Louis, Missouri.

Sha, assistant professor in the Walker Department of Mechanical Engineering, received the Young Engineer Award, which recognizes a promising young investigator who is making outstanding contributions to the progress in the application of computers in engineering.

The ASME SEIKM Technical Committee and the ASME CIE Hackathon Committee co-organized this year’s SEIKM Panel on the topic of “The Role of Hackathon Mechanism in Promoting Data Science in Mechanical Engineering Research and Education: Perspectives from Academia and Industry.” This panellists are Zhenghui Sha (UT Austin), Yan Lu (NIST), Ye Wang (Autodesk), and Daniele Grandi (Autodesk). They discussed 1) the ways and mechanisms to build academia-industry relationships in providing ME students with practical data-driven engineering problems and hands-on experiences, 2) how to train the data-literate mechanical engineers that can harness the data revolution in different engineering fields, and 3) the connection/gaps between data science education in the classroom and data science applications in industry.

The motivation of the ASME Hackathon initiative is to support an engaging and inclusive platform for researchers to practice data-driven discovery and explore new statistical and machine-learning techniques appropriate for the use of unstructured data that would be beneficial to mechanical engineering, and developing pathways to train the data-literate mechanical engineers that can harness the data revolution in different engineering fields.

Three graduate students, Yinshuang Xiao, Xingang Li, and Daniel Weber, recently attended the 2022 IDETC/CIE conference in St. Louis, Missouri in person. Check their papers, posters and video presentations below.

Y. Xiao, F. Ahmed, Z. Sha, “Travel Links Prediction In Shared Mobility Networks Using Graph Neural Network Models,” ASME 2022 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, St. Louis, Missouri, Aug. 14-17, 2022.

X. Li, Y. Wang, Z. Sha, “Deep Learning of Cross-Modal Tasks for Conceptual Design of Engineered Products: A Review,” ASME 2022 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, St. Louis, Missouri, Aug. 14-17, 2022.

D. Weber, Z. Sha, “Z-Chunking for Cooperative 3D Printing of Large and Tall Objects,” CIE Graduate Research Poster Competition, ASME 2022 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, St. Louis, Missouri, Aug. 14-17, 2022.

Some pictures taken during their presentations:

Check our recent work on hybrid swarm manufacturing, collaborated with our partners at AMBOTS and Dr. Wenchao Zhou. This is a challenging topic that integrates knowledge from design for assembly (DfA), design for additive manufacturing (DfAM), manufacturing scheduling, and multi-robot path planning. The work was presented at the 2022 Symposium on Freefrom Fabrication (SFF) on Wednesday 07/27/2022.