{"642477":{"#nid":"642477","#data":{"type":"event","title":"CSE Seminar - Bamdad Hosseini","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EName:\u0026nbsp;\u003C\/strong\u003EBamdad Hosseini, Post Doc at Cal Tech\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003ETuesday, January 12, 2021 at 11:00 am\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELink:\u0026nbsp;\u003C\/strong\u003E\u003Ca href=\u0022https:\/\/nam12.safelinks.protection.outlook.com\/?url=https%3A%2F%2Fbluejeans.com%2F6622130444\u0026amp;data=04%7C01%7Ckristen.perez%40cc.gatech.edu%7C3444b92e4cb24fffe24708d8b0c7568f%7C482198bbae7b4b258b7a6d7f32faa083%7C0%7C0%7C637453717482938712%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000\u0026amp;sdata=X69D%2BOA9UgqhbEfNjvfkKdQ47Ue%2FbXPqilLpMDVjdLI%3D\u0026amp;reserved=0\u0022\u003Ehttps:\/\/bluejeans.com\/6622130444\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003EInverse Problems and Machine Learning\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAbstract:\u0026nbsp;\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe fields of inverse problems and machine learning have a lot in common. In fact, many of the algorithms and problems in each of these fields can be analyzed and developed from the perspective of the other. In this talk I give an overview of some of my research at the intersection of these fields. In the first part I will discuss the asymptotic consistency of a graphical semi-supervised learning algorithm. Using ideas from theory of inverse problems and spectral analysis of elliptic operators to develop a deeper understanding\u0026nbsp;of how and why graphical algorithms work. In the second part of the talk, I will present an algorithm for data-driven solution of Bayesian inverse problems by combining tools from machine learning, such as generative adversarial networks, with ideas in measure transport. This approach leads to a model agnostic method for conditional sampling and in turn the solution of inverse problems.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EBio:\u0026nbsp;\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EI am a Senior postdoctoral scholar in the Department of Computing and Mathematical Sciences (CMS) at California Institute of Technology sponsored by Profs.\u0026nbsp;\u003Ca href=\u0022https:\/\/nam12.safelinks.protection.outlook.com\/?url=http%3A%2F%2Fstuart.caltech.edu%2F\u0026amp;data=04%7C01%7Ckristen.perez%40cc.gatech.edu%7C3444b92e4cb24fffe24708d8b0c7568f%7C482198bbae7b4b258b7a6d7f32faa083%7C0%7C0%7C637453717482938712%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000\u0026amp;sdata=TiOFDkIIWpeCwSLNf9lvUpXKcbR6Wh4dZstv6zEGR8A%3D\u0026amp;reserved=0\u0022 target=\u0022_blank\u0022\u003EAndrew Stuart\u003C\/a\u003Eand\u0026nbsp;\u003Ca href=\u0022https:\/\/nam12.safelinks.protection.outlook.com\/?url=http:%2F%2Fusers.cms.caltech.edu%2F~owhadi%2Findex.htm\u0026amp;data=04%7C01%7Ckristen.perez%40cc.gatech.edu%7C3444b92e4cb24fffe24708d8b0c7568f%7C482198bbae7b4b258b7a6d7f32faa083%7C0%7C0%7C637453717482948710%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000\u0026amp;sdata=vwGRhHEgvFczcdn8gManWaL0YUrlUkVfwnwILhglwLk%3D\u0026amp;reserved=0\u0022 title=\u0022http:\/\/users.cms.caltech.edu\/~owhadi\/index.htm\u0022\u003EHouman Owhaid\u003C\/a\u003E. Prior to that I was a von Karman instructor in CMS. I received my Ph.D. in Applied and Computational Mathematics from Simon Fraser University under supervision of Profs.\u0026nbsp;\u003Ca href=\u0022https:\/\/nam12.safelinks.protection.outlook.com\/?url=http:%2F%2Fpeople.math.sfu.ca%2F~nigam%2FNilimaNigam%2FMain.html\u0026amp;data=04%7C01%7Ckristen.perez%40cc.gatech.edu%7C3444b92e4cb24fffe24708d8b0c7568f%7C482198bbae7b4b258b7a6d7f32faa083%7C0%7C0%7C637453717482958707%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000\u0026amp;sdata=95SPiMR7S9%2BapbnTQEF7l2LXBg33APLAkVmjLOIHKJM%3D\u0026amp;reserved=0\u0022 target=\u0022_blank\u0022\u003ENilima Nigam\u003C\/a\u003E\u0026nbsp; and\u0026nbsp;\u003Ca href=\u0022https:\/\/nam12.safelinks.protection.outlook.com\/?url=http:%2F%2Fpeople.math.sfu.ca%2F~stockie%2F\u0026amp;data=04%7C01%7Ckristen.perez%40cc.gatech.edu%7C3444b92e4cb24fffe24708d8b0c7568f%7C482198bbae7b4b258b7a6d7f32faa083%7C0%7C0%7C637453717482968700%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000\u0026amp;sdata=%2BOz6f%2FhOpZ2FixhKj9fsKbCwg3wHJg%2BhMwXhSDg1Bas%3D\u0026amp;reserved=0\u0022 target=\u0022_blank\u0022\u003EJohn Stockie\u003C\/a\u003E. Broadly speaking, my research lies at the interface of probability, statistics, and applied mathematics with a particular focus on data science and uncertainty quantification. I also work on several applications in science and engineering such as atmospheric dispersion modelling, medical imaging, opinion formation in social networks and\u0026nbsp;dynamics of power networks.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"CSE Seminar with Bamdad Hosseini on Jan 12"}],"uid":"34540","created_gmt":"2021-01-04 18:20:07","changed_gmt":"2021-01-04 18:20:38","author":"Kristen Perez","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2021-01-12T11:00:00-05:00","event_time_end":"2021-01-12T12:00:00-05:00","event_time_end_last":"2021-01-12T12:00:00-05:00","gmt_time_start":"2021-01-12 16:00:00","gmt_time_end":"2021-01-12 17:00:00","gmt_time_end_last":"2021-01-12 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"3497","name":"cse seminar"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"78771","name":"Public"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EKristen Perez\u003C\/p\u003E\r\n\r\n\u003Cp\u003Ekristen.perez@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}}}