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 " Data Science Enabled Decision-making in Advanced Manufacturing and Personalized Safety" will be given by Dr. Hongyue Sun on Tuesday Mar. 26 from noon-1pm EDT.
Dr. Hongyue Sun is an associate professor in Mechanical Engineering, University of Georgia. Before that, he was an assistant professor in Industrial Engineering, University at Buffalo. He has a multidisciplinary background with a B.E. in mechanical engineering, M.S. in statistics, and Ph.D. in industrial engineering, respectively. Dr. Hongyue Sun's research interests are data science for advanced manufacturing, occupational safety, and healthcare systems. His research has been broadly supported by NSF, NIOSH, USDA, DoD, MxD, etc. His research has been recognized by several best paper awards from INFORMS and IISE. He received the Outstanding Young Manufacturing Engineer Award from the SME and UB's Exceptional Scholar: Young Investigator Award from University at Buffalo in 2023. He is a member of IISE, INFORMS, IEEE, and ASME.
The advancements of sensing and information technology have brought significant opportunities to engineering systems, where data containing rich streaming and heterogenous information are collected in manufacturing, occupational, and other systems. However, there is a lack of systematic methodologies to address these high dimensional, streaming, and heterogenous information and support engineering systems decision-making. In this talk, he will present data science enabled decision-making to address the above challenge, with applications in advanced manufacturing and personalized safety.
To register for this event, please visit: https://events.teams.microsoft.com/event/448e3f99-cf14-4943-b7e5-5f3e60c133b8@1bf21f59-ba3f-4757-8a65-44b4acb89f42
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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