{"683065":{"#nid":"683065","#data":{"type":"event","title":"Ph.D. Dissertation Defense - Afolabi Ige","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETitle\u003C\/strong\u003E\u003Cem\u003E:\u0026nbsp; Across the Stack of Analog Computing\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ECommittee:\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EDr.\u0026nbsp;Jennifer Hasler, ECE, Chair, Advisor\u003C\/p\u003E\u003Cp\u003EDr.\u0026nbsp;Callie Hao, ECE\u003C\/p\u003E\u003Cp\u003EDr.\u0026nbsp;Sung-Kyu Lim, ECE\u003C\/p\u003E\u003Cp\u003EDr.\u0026nbsp;Sahil Shah, U of Maryland\u003C\/p\u003E\u003Cp\u003EDr.\u0026nbsp;Celine Lin, CoC\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThe subject of this research is the contribution of foundational elements across the stack of analog computing. Specifically the work makes possible the vision of Analog Very Large Scale Integrated (AVLSI) systems for applications like machine learning by providing required elements like standard cell libraries across various process nodes, synthesis tools for both FPAA programming and ASIC synthesis and validation of these analog ML concepts on pre-existing platforms like the FPAA.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Across the Stack of Analog Computing "}],"uid":"28475","created_gmt":"2025-07-09 22:00:47","changed_gmt":"2025-07-09 22:02:04","author":"Daniela Staiculescu","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-07-15T09:00:00-04:00","event_time_end":"2025-07-15T11:00:00-04:00","event_time_end_last":"2025-07-15T11:00:00-04:00","gmt_time_start":"2025-07-15 13:00:00","gmt_time_end":"2025-07-15 15:00:00","gmt_time_end_last":"2025-07-15 15:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Room 423, TSRB","extras":[],"related_links":[{"url":"https:\/\/www.google.com\/url?q=https:\/\/teams.microsoft.com\/l\/meetup-join\/19%253ameeting_NjQ3OTcwODEtMzA5Zi00NWQwLWIxM2MtMmI5MDBlNDMyNzUy%2540thread.v2\/0?context%3D%257b%2522Tid%2522%253a%2522482198bb-ae7b-4b25-8b7a-6d7f32faa083%2522%252c%2522Oid%2522%253a%25223932a3f8-7e78-4685-8bb4-6589af7261c4%2522%257d\u0026sa=D\u0026source=calendar\u0026usd=2\u0026usg=AOvVaw2CDStbhmzxay3-kVlWxmOn","title":"Microsoft Teams Meeting link"}],"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":""}}}