{"688854":{"#nid":"688854","#data":{"type":"event","title":"ISyE Seminar_ Uncertainty Quantification in Engineering: What, Why, and How","body":[{"value":"\u003Ch3\u003E\u003Cstrong\u003ETitle:\u003C\/strong\u003E\u003Cbr\u003E\u003Cstrong\u003EUncertainty Quantification in Engineering: What, Why, and How\u003C\/strong\u003E\u003Cbr\u003EPeter Chien\u003Cbr\u003EProfessor of Statistics\u003Cbr\u003EUniversity of Wisconsin\u2013Madison\u003Cbr\u003E\u003Ca href=\u0022mailto:peter.chien@wisc.edu\u0022\u003Epeter.chien@wisc.edu\u003C\/a\u003E\u003C\/h3\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Ch3\u003EAbstract:\u003C\/h3\u003E\u003Cp\u003EMany manufacturing companies have experienced costly recalls and product failures because uncertainties in design, testing, and manufacturing processes were not adequately quantified. These failures have led to fatal accidents, billions of dollars in lost revenue, and even the collapse of major manufacturing firms. In response, industries such as aerospace, automotive, semiconductor, and medical devices have increasingly adopted \u003Cstrong\u003EUncertainty Quantification (UQ)\u003C\/strong\u003E\u2014a multidisciplinary framework drawing from statistics, applied mathematics, and engineering\u2014to better design, test, and manufacture products under uncertainty.\u003C\/p\u003E\u003Cp\u003EThis talk provides an overview of Uncertainty Quantification, explains why it has become indispensable in modern engineering, and introduces key design of experiment and predictive model methods for rigorously quantifying uncertainty in complex systems.\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Ch3\u003EBio\u0026nbsp;\u003C\/h3\u003E\u003Cp\u003EPeter Chien is a Professor of Statistics and Industrial \u0026amp; Systems Engineering at the University of Wisconsin\u2013Madison and a Fellow of the American Statistical Association. He is the recipient of a National Science Foundation CAREER Award and an IBM Faculty Award. His research has been widely adopted by Fortune 500 companies across industries including aerospace, automotive, semiconductors, electronics, chemical, battery and life sciences.\u003Cbr\u003E\u0026nbsp;\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EMany manufacturing companies have experienced costly recalls and product failures because uncertainties in design, testing, and manufacturing processes were not adequately quantified. These failures have led to fatal accidents, billions of dollars in lost revenue, and even the collapse of major manufacturing firms. In response, industries such as aerospace, automotive, semiconductor, and medical devices have increasingly adopted \u003Cstrong\u003EUncertainty Quantification (UQ)\u003C\/strong\u003E\u2014a multidisciplinary framework drawing from statistics, applied mathematics, and engineering\u2014to better design, test, and manufacture products under uncertainty.\u003C\/p\u003E\u003Cp\u003EThis talk provides an overview of Uncertainty Quantification, explains why it has become indispensable in modern engineering, and introduces key design of experiment and predictive model methods for rigorously quantifying uncertainty in complex systems.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"This talk introduces Uncertainty Quantification (UQ) as a multidisciplinary framework that helps engineers rigorously measure and manage uncertainty in design, testing, and manufacturing to improve reliability and prevent costly product failures."}],"uid":"36458","created_gmt":"2026-03-11 15:41:32","changed_gmt":"2026-03-11 15:47:28","author":"mellis74","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-03-20T11:00:00-04:00","event_time_end":"2026-03-20T12:00:00-04:00","event_time_end_last":"2026-03-20T12:00:00-04:00","gmt_time_start":"2026-03-20 15:00:00","gmt_time_end":"2026-03-20 16:00:00","gmt_time_end_last":"2026-03-20 16:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Groseclose Executive Boardroom GC402","extras":[],"hg_media":{"679578":{"id":"679578","type":"image","title":"Peter Chien","body":null,"created":"1773244006","gmt_created":"2026-03-11 15:46:46","changed":"1773244006","gmt_changed":"2026-03-11 15:46:46","alt":"Peter Chien","file":{"fid":"263754","name":"PIC.jpeg","image_path":"\/sites\/default\/files\/2026\/03\/11\/PIC.jpeg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2026\/03\/11\/PIC.jpeg","mime":"image\/jpeg","size":41100,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2026\/03\/11\/PIC.jpeg?itok=j5JbSLcK"}}},"media_ids":["679578"],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"194945","name":"Alumni"},{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}}}