{"598954":{"#nid":"598954","#data":{"type":"event","title":"Ph.D. Proposal Oral Exam - Anvesha Amaravati","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp; \u003C\/strong\u003E\u003Cem\u003EEnergy-efficient Circuits and System Architectures to Enable Intellignece and the Edge of the Cloud\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. Raychowdhury, Advisor\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Lim, Chair\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Romberg\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 enable computation close to the sensor. Internet of Things (IoT) devices are collecting a large amount of data for video processing, monitoring health etc. Transmitting the data from the sensor to the cloud requires a large aggregate bandwidth. The objective of the proposed research is to leverage advances in machine learning to perform in-sensor computation, thus reducing the transmission bandwidth, preserving data privacy and enabling low-power operation. The proposed research demonstrates a system design and IC designs to achieve energy efficiency. As a system prototype, we demonstrate a light-powered always ON gesture recognition system. As circuit innovations, we demonstrate voltage and time based matrix multiplying ADCs (MMADCs), compressive sensing ADCs (CS-ADCs) along with measurement results. The proposed time based MMADC is digitally synthesizable, can operate at a supply as low supply as 0.4V and demonstrates higher energy efficiency compared to the state of the art designs.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Energy-efficient Circuits and System Architectures to Enable Intellignece and the Edge of the Cloud"}],"uid":"28475","created_gmt":"2017-11-17 22:07:17","changed_gmt":"2017-11-17 22:07:17","author":"Daniela Staiculescu","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2017-11-22T10:30:00-05:00","event_time_end":"2017-11-22T12:30:00-05:00","event_time_end_last":"2017-11-22T12:30:00-05:00","gmt_time_start":"2017-11-22 15:30:00","gmt_time_end":"2017-11-22 17:30:00","gmt_time_end_last":"2017-11-22 17:30:00","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":""}}}