{"663503":{"#nid":"663503","#data":{"type":"event","title":"Ph.D. Proposal Oral Exam - Mohammad Hadighehjavani","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp; \u003C\/strong\u003E\u003Cem\u003EMachine Learning Approaches for Knowledge Discovery in Nanophotonic Structures\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ECommittee:\u0026nbsp; \u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Adibi, Advisor\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Klein, Chair\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Zhou\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAbstract: \u003C\/strong\u003EThe objective of this research proposal is to utilize machine learning approaches for efficient inverse design and knowledge discovery in nanophotonics. The aim is to develop methods that enable finding the physics behind the input-output relation, the role and importance of the input parameters, and the input-output relation complexity of different classes of nanophotonic structures.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Machine Learning Approaches for Knowledge Discovery in Nanophotonic Structures"}],"uid":"28475","created_gmt":"2022-11-29 18:13:43","changed_gmt":"2022-11-29 18:13:43","author":"Daniela Staiculescu","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2022-12-06T13:00:00-05:00","event_time_end":"2022-12-06T15:00:00-05:00","event_time_end_last":"2022-12-06T15:00:00-05:00","gmt_time_start":"2022-12-06 18:00:00","gmt_time_end":"2022-12-06 20:00:00","gmt_time_end_last":"2022-12-06 20:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"434371","name":"ECE Ph.D. Proposal Oral Exams"}],"categories":[],"keywords":[{"id":"102851","name":"Phd proposal"},{"id":"1808","name":"graduate students"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1788","name":"Other\/Miscellaneous"}],"invited_audience":[{"id":"78771","name":"Public"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}}}