{"663419":{"#nid":"663419","#data":{"type":"event","title":"Ph.D. Proposal Oral Exam - Daniel Dichek","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp; \u003C\/strong\u003E\u003Cem\u003EIn-situ Semantic Segmentation of Streaming Time-series Data\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. Anderson, Advisor\u0026nbsp;\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Dyer, Chair\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Inan\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAbstract: \u003C\/strong\u003EThe objective of the proposed research is to build a tool that notices key observations for scientists. It will semantically segment heterogeneous, multi-channel streaming data in-situ in a resource-constrained package and quickly present it in a useful manner. We will investigate metrics for this tool that do not rely on ground truth labels. Finally, we will present a constrained proof-of-concept \u0026ldquo;live\u0026rdquo; demonstration. Ultimately, this will be released as a tool for exploration that facilitates the study of how the best human learners learn in-situ.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"In-situ Semantic Segmentation of Streaming Time-series Data"}],"uid":"28475","created_gmt":"2022-11-22 22:00:42","changed_gmt":"2022-11-22 22:00:42","author":"Daniela Staiculescu","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2022-12-08T14:00:00-05:00","event_time_end":"2022-12-08T16:00:00-05:00","event_time_end_last":"2022-12-08T16:00:00-05:00","gmt_time_start":"2022-12-08 19:00:00","gmt_time_end":"2022-12-08 21:00:00","gmt_time_end_last":"2022-12-08 21:00:00","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":""}}}