{"672733":{"#nid":"672733","#data":{"type":"event","title":"AI4OPT Seminar Series: Sherief Reda","body":[{"value":"\u003Ch2\u003EAI4OPT Seminar Series\u003C\/h2\u003E\r\n\r\n\u003Cp\u003EDate: Thursday, Feb 8, 2024\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETime: Noon \u2013 1:00 pm\u003C\/p\u003E\r\n\r\n\u003Cp\u003ELocation: 9th floor Atrium in Coda Building (756 W Peachtree St NW, Atlanta, GA 30308)\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAlso live streamed at:\u0026nbsp;\u003Ca href=\u0022https:\/\/gatech.zoom.us\/j\/99381428980\u0022 rel=\u0022noopener noreferrer\u0022 target=\u0022_blank\u0022\u003Ehttps:\/\/gatech.zoom.us\/j\/99381428980\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ESpeaker: Sherief Reda\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EUsing Machine Learning for Combinatorial Optimization (ML4CO): Case Studies and Research Directions\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E\u0026nbsp;Combinatorial optimization (CO) methods are routinely used in many scientific fields to identify optimal solutions among a large but finite set of possible solutions for problems of interests. Given the recent success of machine learning (ML) techniques in classification of natural signals (e.g., voice, image, text), it is natural to ask how machine learning methods can be used to improve the quality of solution or the runtime of combinatorial optimization algorithms? In this talk I will provide a general taxonomy and research directions for the use of machine learning techniques in combinatorial optimization. Through a series of case studies drawn from both academic research and industry applications, the tangible advantages of incorporating ML into CO processes will be demonstrated. These examples span diverse areas, including transportation logistics planning, integer linear programming solvers, and optimization of digital circuit design.\u0026nbsp; The talk will conclude with an outline of a number of challenges for future research.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EBio:\u0026nbsp;\u003C\/strong\u003E\u003Ca href=\u0022https:\/\/vivo.brown.edu\/display\/sreda\u0022 rel=\u0022noopener noreferrer\u0022 target=\u0022_blank\u0022\u003ESherief Reda\u003C\/a\u003E\u0026nbsp;is a professor at the School of Engineering and Computer Science Department at Brown University. He is co-author of over 150 publications in the areas of energy-efficient computing, electronic design automation and combinatorial optimization. He has been a PI or co-PI on more than $22M of funded projects from federal agencies and industry corporations. He received the NSF CAREER award in 2009, and he is a Fellow of IEEE. Besides his academic work, Reda worked as a Principal Scientist at Amazon\u2019s Supply Chain and Optimization Technology team during 2021-2023 while on leave from Brown, and he currently serves as an Amazon Scholar.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cem\u003ENote(s):\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003E\u003Cem\u003ELunch will be served at the seminar. So, please stop by 15 minutes before the seminar to pick up lunch.\u003C\/em\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Cem\u003ETo continue receiving all AI4OPT seminar announcements, please sign up to the mailing list at\u003C\/em\u003E\u003Ca href=\u0022https:\/\/lists.isye.gatech.edu\/mailman\/listinfo\/ai4opt-seminars\u0022 rel=\u0022noopener noreferrer\u0022 target=\u0022_blank\u0022\u003E\u003Cem\u003Ehttps:\/\/lists.isye.gatech.edu\/mailman\/listinfo\/ai4opt-seminars\u003C\/em\u003E\u003C\/a\u003E.\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Cem\u003EVideos of the past seminars can be seen on AI4OPT webpage at\u0026nbsp;\u003C\/em\u003E\u003Ca href=\u0022https:\/\/www.ai4opt.org\/seminars\/past-seminars\u0022\u003E\u003Cem\u003Ehttps:\/\/www.ai4opt.org\/seminars\/past-seminars\u003C\/em\u003E\u003C\/a\u003E.\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EIn this talk Reda will provide a general taxonomy and research directions for the use of machine learning techniques in combinatorial optimization. Through a series of case studies drawn from both academic research and industry applications, the tangible advantages of incorporating ML into CO processes will be demonstrated. These examples span diverse areas, including transportation logistics planning, integer linear programming solvers, and optimization of digital circuit design.\u0026nbsp; The talk will conclude with an outline of a number of challenges for future research.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Topic: Using Machine Learning for Combinatorial Optimization (ML4CO): Case Studies and Research Directions "}],"uid":"36348","created_gmt":"2024-02-05 14:46:36","changed_gmt":"2024-02-05 14:50:08","author":"Breon Martin","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2024-02-08T12:00:00-05:00","event_time_end":"2024-02-08T13:00:00-05:00","event_time_end_last":"2024-02-08T13:00:00-05:00","gmt_time_start":"2024-02-08 17:00:00","gmt_time_end":"2024-02-08 18:00:00","gmt_time_end_last":"2024-02-08 18:00:00","rrule":null,"timezone":"America\/New_York"},"location":"9th floor Atrium in Coda Building (756 W Peachtree St NW, Atlanta, GA 30308)","extras":["free_food"],"related_links":[{"url":"https:\/\/www.ai4opt.org\/news-events\/ai4opt-seminar-series-sherief-reda","title":""}],"groups":[{"id":"1214","name":"News Room"}],"categories":[],"keywords":[{"id":"180027","name":". ISyE"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1789","name":"Conference\/Symposium"},{"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\u003Cem\u003ECami Douglas\u003C\/em\u003E\u0026nbsp;(\u003Cem\u003Ecamille\u003C\/em\u003E.\u003Cem\u003Edouglass\u003C\/em\u003E@isye.gatech.edu)\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}}}