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AIM2LEARN: Smart and Flexible Building Manufacturing through Production Digital Twins Webinar
This webinar will introduce participants to a number of computational methods that collectively enable a machine learning-empowered adaptive control system that can learn from experienced managers and operators in coordinating modular building manufacturing lines. The presenter will introduce computer vision and process data analytics methods that can automatically discover similar sequences of events and control actions from the logs of control systems, sensor records, and videos. These process data analytics techniques can support data-driven simulations of manufacturing processes and simulation-based optimization of process control and anomaly recovery strategies.
Presenter: Pingbo Tang, Ph.D., P.E.
Tang is an Associate Professor of Civil and Environmental Engineering at Carnegie Mellon University. His teaching and research interests lie in remote sensing, human systems engineering, and information modeling technology in support of the spatiotemporal analyses needed for the effective management of construction sites, constructed facilities, and civil infrastructure systems.
This webinar is part of the AIM2LEARN education series that is hosted by the AIM Higher Consortium. Speakers present for 30 minutes on a topic that help regional manufacturers in the defense industry seeking to expand business and operational capabilities to strengthen the supply chain and create and retain jobs in defense manufacturing sectors. This webinar is available at no cost thanks to a grant provided by the Department of Defense Office of Local Defense Community Cooperation (DoD-OLDCC). You can learn more about the AIM Higher Consortium at www.AIMHigher.org.