{"521881":{"#nid":"521881","#data":{"type":"event","title":"Ph.D. Proposal Oral Exam - Taizhi Liu","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp; \u003C\/strong\u003E\u003Cem\u003ESystem-level Variation-aware Aging Simulator using a Unified Novel Gate-delay Model\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ECommittee:\u0026nbsp; \u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EDr. Milor, Advisor\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EDr. Naeemi, Chair\u003C\/p\u003E\u003Cp\u003EDr. Lim\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract: \u003C\/strong\u003EThe objective of the proposed research is to develop a Statistical Static Timing Analysis (SSTA) framework, which achieve accurate and efficient estimations of circuit-delay distributions considering the Process-Voltage-Temperature (PVT) variations and different aging mechanisms. The proposed framework incorporates novel gate-delay models using the multivariate adaptive regression splines (MARS) method, and is to bridge the gap between device aging models and system-level timing performances using the novel MARS-based gate-delay models.\u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"ECE Proposal Oral Exam"}],"uid":"28475","created_gmt":"2016-04-05 17:53:29","changed_gmt":"2016-10-08 02:17:21","author":"Daniela Staiculescu","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2016-04-14T15:00:00-04:00","event_time_end":"2016-04-14T15:00:00-04:00","event_time_end_last":"2016-04-14T15:00:00-04:00","gmt_time_start":"2016-04-14 19:00:00","gmt_time_end":"2016-04-14 19:00:00","gmt_time_end_last":"2016-04-14 19:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"434371","name":"ECE Ph.D. Proposal Oral Exams"}],"categories":[],"keywords":[{"id":"1808","name":"graduate students"},{"id":"102851","name":"Phd proposal"}],"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":""}}}