{"607192":{"#nid":"607192","#data":{"type":"event","title":"Ph.D. Dissertation Defense - Brian Hayes","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETitle\u003C\/strong\u003E\u003Cem\u003E:\u0026nbsp; \u003C\/em\u003E\u003Cem\u003EEfficient Delivery of Multimedia Content over Multipath Networks\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ECommittee:\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. George Riley, ECE, Chair , Advisor\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Yusun Chang, ECE, Co-Advisor\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Raheem Beyah, ECE\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. John Copeland, ECE\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Douglas Blough, ECE\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Jun Xu, CoC\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAbstract: \u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe objective of the proposed research is to develop a unique approach to efficiently deliver high quality multimedia data by leveraging concepts from various multipath networking models in conjunction with ABR protocols that supplement the reliance on client-side network bandwidth estimation and\/or buffer state. Prior research into the development and evaluation of the performance of multipath-enabled multimedia streaming techniques are presented. Machine learning based multipath-enabled techniques are proposed in the development of selective transport protocols for streaming applications and validating their effectiveness.\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Efficient Delivery of Multimedia Content over Multipath Networks "}],"uid":"28475","created_gmt":"2018-06-19 21:28:10","changed_gmt":"2018-06-20 15:32:04","author":"Daniela Staiculescu","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2018-07-09T15:00:00-04:00","event_time_end":"2018-07-09T17:00:00-04:00","event_time_end_last":"2018-07-09T17:00:00-04:00","gmt_time_start":"2018-07-09 19:00:00","gmt_time_end":"2018-07-09 21:00:00","gmt_time_end_last":"2018-07-09 21:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"434381","name":"ECE Ph.D. Dissertation Defenses"}],"categories":[],"keywords":[{"id":"100811","name":"Phd Defense"},{"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":""}}}