- 17 views
Abstract:
Recently, the cyberphyical system (CPS) has gained significant traction in various engineering fields. One of the challenges for CPS is to develop lightweight, real-time computational models to enable in-situ evaluation and decision-making capabilities on mobile decentralized platforms. This seminar presents multiple research efforts being pursued along this frontier at the Integrated Multiphysics & Systems Engineering Laboratory (iMSEL) at the University of South Carolina (USC). It starts with a fundamental introduction of key methodologies to enable lightweight and real-time computation in engineering, including reduced order modeling (ROM) and data-driven modeling. Then, the extension of the data-driven method by leveraging the recent advances in deep learning will be discussed. The strategies to integrate real-time evaluation and decision-making on edge computing devices to enable field deployment of CPS will be presented. Several real-world applications of significant interest demonstrated by iMSEL to federal agencies for real-time computing, such as design automation, massive data analytics, anomaly detection, system autonomy, and others, will also be presented.
Bio:
Yi Wang is an associate Professor in mechanical engineering at the University of South Carolina (USC). He completed his PhD at Carnegie Mellon University in 2005 and obtained his B.S. and M.S. from Shanghai Jiaotong University in China in 1998 and 2000, respectively. From 2005 to 2017, he held several positions of increasing responsibility at the CFD Research Corporation (CFDRC), Huntsville, Alabama. In 2017, he joined the University of South Carolina to start his academic career. His research interests focus on computational and data-enabled science and engineering (CDS&E), including reduced order modeling, large-scale and/or real-time data analytics, system-level simulation, computer vision, and cyberphysical system and autonomy with applications in aerospace, naval perception, unmanned systems, manufacturing, and biomedical devices. His research has been sponsored by several federal funding agencies, including DoD, NIH, NASA, DOT, and industries. He has published over 150 papers in referred journals and conference proceedings. He is also the recipient of the 2021 Research Breakthrough Star Award of USC.