Join us in welcoming Dr. Binil Starly, professor within the School of Manufacturing Systems & Networks at Arizona State University, to our graduate seminar. Dr. Starly will give his seminar titled, “Cyber-Manufacturing: Delivering Manufacturing Services Over Web 3.0,” on Thursday, November 9, from 3:30-4:20 p.m. in SC3505.

Abstract: Cybermanufacturing enables the shared use of networked manufacturing infrastructure to deliver manufacturing resources on-demand while maximizing capacity utilization, reducing consumption of natural and material resources, and reducing costs to product design and manufacturing. This talk will highlight three areas where our group has contributed to the understanding of Cybermanufacturing systems – 1) With the explosive growth of 3D product models, the data contained in them, may be used to democratize access and broaden those who are able to engage in product design and manufacturing; 2) Understanding of manufacturing capability available over the entire US through Natural Language Processing (NLP), and its interface with Large Language Models (like BERT & GPT-4); 3) Identification and Verification of Machines in the context of a Distributed Web of machines. In the future, the digital connection across factories will also lead to Manufacturing Networks that are highly agile, distributed, and resilient while considering the long-term consequences of sustainable industrial performance. Emerging digital technologies such as Pervasive Sensing, Computational Intelligence, Edge-Fog-Cloud Computing, Digital Twins, Smart Automation, Intelligent Collaborative Robots etc., open new possibilities in the design of smart collaborative physical and digital networks of factories.

Biography: Binil Starly serves as the Founding School Director and Professor in the School of Manufacturing Systems & Networks, one of 8 Schools within the Ira. A. Fulton Schools of Engineering at Arizona State University. He has over 20 years of experience in Digital manufacturing. His laboratory is working on technologies that merge the digital and the physical world towards advancing both discrete and continuous manufacturing. His work is supported by the US National Science Foundation, Department of Energy (NNSA) and the Manufacturing Institutes (MxD and CESMII). He has received the NSF CAREER award, SME ‘20 Most Influential Professors in Smart Manufacturing’, SME Young Manufacturing Engineering Award (2011) and numerous teaching awards at the University of Oklahoma and North Carolina State University. To learn more about his research, visit: https://www.dimelab.org/