Dr. Sha Joined the ASME SEIKM Technical Committee (TC) Panel to Discuss Data Science and Hackathon in Mechanical 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.