Attend a seminar on AI and Data-Driven Solutions to Human-Centric Smart Manufacturing, Oct. 25
Join the School of Manufacturing Systems and Networks for a seminar on AI and Data-Driven Solutions to Human-Centric Smart Manufacturing.
About the speaker
Shenghan Guo is an assistant professor in the School of Manufacturing Systems and Networks at Arizona State University. Her research focuses on AI models and their applications in human-centric smart manufacturing. She specializes in working with real data from manufacturing applications, particularly those with complex properties, such as in-situ thermal video and multi-sensory data streams. Her research interests include in-situ prognostics, knowledge-informed machine learning, smart additive manufacturing and human-centric manufacturing applications. Her lab is equipped with an OPTOMEC Aerosol Jet Printer for high-resolution flexible 3D printing, supporting experiments in electronic printing and packaging, human-machine interactions and AI-assisted fabrication of new materials and structures.
Abstract
The rapid advancement of artificial intelligence, or AI, and data analytics is revolutionizing advanced manufacturing. Smart sensors, supercomputers and AI models are enabling the digitalization of manufacturing processes, systems and workforce development. With the shift toward “human-centric” Industrial 5.0, new research questions emerge regarding AI’s role in human-centric manufacturing and its integration into personalized product design and manufacturing applications. The Data Analytics & Insights in Manufacturing, or DAIM, team aims to understand AI’s current roles in smart manufacturing and explore its potential in human-centric systems. This talk will cover published work on data-driven and knowledge-informed machine learning solutions for in-situ monitoring and prognostics, 3D defect reconstruction and surrogate modeling for manufacturing processes and human workers. Future methodologies will focus on directing sensing, data analytics and AI toward human-centric approaches, strengthening the connection between human welfare and manufacturing technology.
AI and Data-Driven Solutions to Human-Centric Smart Manufacturing
Friday, Oct. 25, 2024
10:30 a.m.–noon
Peralta Hall (PRLTA) 130, Polytechnic campus [map]