{"668347":{"#nid":"668347","#data":{"type":"event","title":"Ph.D. Dissertation Defense - Aheli Ghosh","body":[{"value":"\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cstrong\u003E\u003Cspan\u003ETitle\u003C\/span\u003E\u003C\/strong\u003E\u003Cem\u003E\u003Cspan\u003E:\u0026nbsp; \u003C\/span\u003E\u003C\/em\u003E\u003Cem\u003E\u003Cspan\u003EAdaptive Oxide based Low-Power Memristive Devices for Neuromorphic Computing\u003C\/span\u003E\u003C\/em\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cstrong\u003E\u003Cspan\u003ECommittee:\u003C\/span\u003E\u003C\/strong\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EDr. \u003C\/span\u003E\u003Cspan\u003EAlan Doolittle, ECE, Chair\u003C\/span\u003E\u003Cspan\u003E, Advisor \u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EDr. \u003C\/span\u003E\u003Cspan\u003EWilliam Hunt, ECE\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EDr. \u003C\/span\u003E\u003Cspan\u003EAsif Khan, ECE\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EDr. \u003C\/span\u003E\u003Cspan\u003EDoug Yoder, ECE\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EDr. \u003C\/span\u003E\u003Cspan\u003EEric Vogel, MSE\u003C\/span\u003E\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThis thesis aims to develop a hardware platform using intercalation based lithium niobite memristors to implement scalable neuromorphic architectures with high energy-efficiency and co-localized processing and main memory, thus overcoming the memory wall. Brain-inspired neuromorphic computing is a crucial field in addressing the increased need for collection, analysis and decision making from high volumes of dynamic unstructured data generated globally, at low power consumption. Memristive devices have emerged a key enabling technology for developing such large scale neuromorphic computing platforms. Lithium niobite is an adaptive suboxide which has shown promise in developing volatile and non-volatile memristors for highly scalable and low-power neuromorphic circuitry. The culmination of this work has demonstrated a memristive technology that implements all major functions of a neural network: analog training, linear resistive changes, temporal tuning, varied temporal response and adaptive activation, with each efficiently implemented in hardware.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Adaptive Oxide based Low-Power Memristive Devices for Neuromorphic Computing "}],"uid":"28475","created_gmt":"2023-07-05 12:46:39","changed_gmt":"2023-07-05 12:46:39","author":"Daniela Staiculescu","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2023-07-07T12:00:00-04:00","event_time_end":"2023-07-07T14:00:00-04:00","event_time_end_last":"2023-07-07T14:00:00-04:00","gmt_time_start":"2023-07-07 16:00:00","gmt_time_end":"2023-07-07 18:00:00","gmt_time_end_last":"2023-07-07 18:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Room 231A, MiRC","extras":[],"groups":[{"id":"434381","name":"ECE Ph.D. Dissertation Defenses"}],"categories":[],"keywords":[{"id":"192484","name":"PhD Defense, 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":""}}}