{"686148":{"#nid":"686148","#data":{"type":"event","title":"Quality Feedback Control: Concepts, Methodologies, and Applications","body":[{"value":"\u003Cp\u003E\u003Ca href=\u0022https:\/\/sites.gatech.edu\/jianjun-shi\/\u0022\u003EJianjun Shi\u003C\/a\u003E\u003Cbr\u003ECarolyn J. Stewart Chair and Professor\u003Cbr\u003EH. Milton Stewart School of Industrial and Systems Engineering\u003Cbr\u003EGeorgia Institute of Technology\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EMonday, November 10\u003C\/strong\u003E\u003Cbr\u003E12 \u2013 1 p.m.\u003Cbr\u003ELocation: Callaway\/GTMI bldg.,\u003Cbr\u003ERoom 114\u003C\/p\u003E\u003Cp\u003E\u003Cem\u003E\u003Cstrong\u003ELunch provided for in-person attendees on a first come first serve basis.\u003C\/strong\u003E\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003EIf you can\u2019t join us in-person, \u003Ca href=\u0022https:\/\/gatech.zoom.us\/j\/99956204656?pwd=VfCXudca58YerAGtGstWqBLB7kgZrM.1\u0022\u003Ejust us virtually via Zoom.\u003C\/a\u003E\u003C\/p\u003E\u003Ch3\u003E\u003Ca href=\u0022https:\/\/www.eventbrite.com\/e\/gtmi-lunch-learn-lecture-series-fall-2025-jianjun-shi-tickets-1438254520989?aff=oddtdtcreator\u0022\u003EWhether you are joining us virtually or in person, please register here prior to attending.\u003C\/a\u003E\u003C\/h3\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EPresententation Title: \u003C\/strong\u003EQuality Feedback Control: Concepts, Methodologies, and Implementations\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EBio: \u003C\/strong\u003EJianjun Shi\u003Cstrong\u003E \u003C\/strong\u003Eis the Carolyn J. Stewart Chair and Professor in H. Milton Stewart School of Industrial and Systems Engineering, with joint appointment in the George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology. His research interests focus on data fusion for quality improvements, with emphasis on integration of system informatics, advanced statistics and machine learning, and control theory for the design and operational improvements in advanced manufacturing applications. The technologies developed in Dr. Shi\u2019s research group have been widely implemented in various production systems with significant economic impacts.\u003C\/p\u003E\u003Cp\u003EDr. Shi is a member of the National Academy of Engineering (NAE), an Academician of the International Academy for Quality, and a Fellow of ASME, IISE, INFORMs, ISI, and SME. He received \u003Ca href=\u0022https:\/\/www.eventbrite.com\/e\/gtmi-lunch-learn-lecture-series-fall-2025-jianjun-shi-tickets-1438254520989?aff=oddtdtcreator\u0022 rel=\u0022nofollow noopener noreferrer\u0022 target=\u0022_blank\u0022 title=\u0022\u0022\u003Enumerous awards and recognitions, including the ASA Deming Lecturer Award\u003C\/a\u003E, the ASQ Shainin Metal, the ENBIS George Box Medal, the ASQ Walter Shewhart Medal, the SME\/NAMRI S. M. Wu Research Implementation Award, the ASQ Brumbaugh Award, IISE David F. Baker Distinguished Research Award (2016), and the IIE Albert G. Holzman Distinguished Educator Award. He is the founding chair of the Quality, Statistics and Reliability (QSR) Division at INFORMS. He served as the Editor-in-Chief of the \u003Cem\u003EIISE Transactions \u003C\/em\u003E(2017-2020), the flagship journal of the Institute of Industrial and Systems Engineers.\u003C\/p\u003E\u003Cp\u003EMore information about Jianjun Shi can be found at \u003Ca href=\u0022https:\/\/sites.gatech.edu\/jianjun-shi\/\u0022 rel=\u0022nofollow noopener noreferrer\u0022 target=\u0022_blank\u0022 title=\u0022https:\/\/sites.gatech.edu\/jianjun-shi\/\u0022\u003Ehttps:\/\/sites.gatech.edu\/jianjun-shi\/\u003C\/a\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E This presentation introduces the new concept of \u201cQuality Feedback Control\u201d for \u003Ca href=\u0022https:\/\/bpb-us-e1.wpmucdn.com\/sites.gatech.edu\/dist\/4\/216\/files\/2024\/08\/In-process-quality-improvement-Concepts-methodologies-and-applications.pdf\u0022 rel=\u0022nofollow noopener noreferrer\u0022 target=\u0022_blank\u0022 title=\u0022https:\/\/bpb-us-e1.wpmucdn.com\/sites.gatech.edu\/dist\/4\/216\/files\/2024\/08\/In-process-quality-improvement-Concepts-methodologies-and-applications.pdf\u0022\u003EIn-Process Quality Improvement (IPQI)\u003C\/a\u003E. IPQI emphasizes active defect mitigation in smart and autonomous manufacturing systems, and \u201cQuality Feedback Control\u201d is an enabling technology to achieve IPQI. Different from conventional automation that typically uses differential or difference equations with the machine output status as the feedback control, the \u201cQuality Feedback Control\u201d paradigm directly uses the product quality measurement as the feedback information to manipulate the inputs of machine(s) that impact the product quality. Due to the heterogeneous nature of quality data (e.g. multichannel functional curves, high resolution images, high speed videos, or 3D scanning data with millions of unstructured point clouds, etc.) and associated diverse data acquisition strategies, a set of fundamental issues need to be addressed to innovatively model the quality outputs with the control inputs, and further use this model to develop effective control strategies. This presentation lays out the foundation for the \u201cQuality Feedback Control\u201d paradigm and discusses its research opportunities, challenges, and advancements with an emphasis on how machine learning and quality feedback control have reshaped the landscape of IPQI.\u003C\/p\u003E\u003Cp\u003EExamples of ongoing research projects, including applications in automotive, aerospace, semiconductor, steel mills, and 3D printing, are used to illustrate and exemplify the frontiers of this research area. All examples come from real world data and industrial production systems.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EGTMI Lunch and Learn Lecture Series: Jianjun Shi, Georgia Tech\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"GTMI Lunch and Learn Lecture Series: Jianjun Shi, Georgia Tech"}],"uid":"35575","created_gmt":"2025-11-03 17:52:15","changed_gmt":"2025-11-03 18:02:52","author":"adavidson38","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-11-10T12:00:00-05:00","event_time_end":"2025-11-10T13:00:00-05:00","event_time_end_last":"2025-11-10T13:00:00-05:00","gmt_time_start":"2025-11-10 17:00:00","gmt_time_end":"2025-11-10 18:00:00","gmt_time_end_last":"2025-11-10 18:00:00","rrule":null,"timezone":"America\/New_York"},"location":"GTMI Building Rm. 114, 813 Ferst Drive Northwest Atlanta, GA 30332","extras":["freebies"],"related_links":[{"url":"https:\/\/www.eventbrite.com\/e\/gtmi-lunch-learn-lecture-series-fall-2025-jianjun-shi-tickets-1438254520989?aff=oddtdtcreator","title":"Register Here"},{"url":"https:\/\/gatech.zoom.us\/j\/99956204656?pwd=VfCXudca58YerAGtGstWqBLB7kgZrM.1","title":"Join Virtually"}],"groups":[{"id":"155831","name":"Georgia Tech Manufacturing Institute (GTMI)"}],"categories":[],"keywords":[{"id":"186857","name":"go-gtmi"},{"id":"189814","name":"go-researchevents"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003E\u003Ca href=\u0022mailto:mcull3@gatech.edu\u0022\u003EMadeleine Cull\u003C\/a\u003E\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}}}