Dear colleagues,
The IISE Data Analytics and Information Systems (DAIS) Division and the Quality Control and Reliability Engineering (QCRE) Division will jointly organize a webinar series in the coming weeks. The first talk titled " Digital Twin for Quality Innovations: Manufacturing and Health Applications" will be given by Dr. Hui Yang on Tuesday Oct. 31 from noon-1pm EST.
Dr. Hui Yang is a Professor of Industrial and Manufacturing Engineering, Biomedical Engineering at Penn State. He was the president (2017-2018) of IISE Data Analytics and Information Systems Society, the chair (2015-2016) of INFORMS Quality, Statistics and Reliability (QSR) section, and the program chair of 2016 IISE Annual Conference. He is also a Department Editor (DE) for IISE Transactions Healthcare Systems Engineering, as well as an Associate Editor (AE) for IISE Transactions, IEEE Journal of Biomedical and Health Informatics (JBHI). His research focuses on sensor-based monitoring, modeling, and control of complex systems, as well as smart manufacturing and healthcare applications. His research program is supported by National Science Foundation (including the prestigious NSF CAREER award), National Institute of Health (NIH), National Institute of Standards and Technology (NIST), MxD, Fulbright Foundation, industry companies, and private foundations. His research group received several best paper awards and best poster awards from IISE Annual Conference, IEEE EMBC, IEEE CASE, and INFORMS.
This webinar will present continuous research efforts from Dr. Yang's group on the "sensing-modeling-optimization" framework to build new cyber-physical digital twins in disparate disciplines of manufacturing and healthcare. Specifically, he will talk about recent research studies in joint work with his current and former PhD students (Alexander Krall, Hankang Lee, and Bing Yao). The next generation of digital twin is strongly promised to innovate quality engineering, manufacturing processes, and healthcare services. At the end of this talk, future research directions will be discussed.
To register for this event, please visit: https://us06web.zoom.us/webinar/register/WN_DiirCOBWSjep1huTF5mugg#/registration
More webinars and recordings can be found on: https://www.iise.org/details.aspx?id=643
For more information about this webinar, please feel free to contact the event organizers:
You are welcome to redistribute this announcement to your networks.
Sincerely,
Yu (Chelsea) Jin
Assistant Professor, Systems Science and Industrial Engineering Department
Binghamton University
Board Member of IISE DAIS Division
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Yu Jin
Assistant professor
Binghamton University
Binghamton NY
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