{"681581":{"#nid":"681581","#data":{"type":"event","title":"Ph.D. Proposal Oral Exam - Marvin Joshi","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp; \u003C\/strong\u003E\u003Cem\u003ENovel Lens-Enhanced mmWave RFID Architectures for Advanced Next-Generation IoT Applications\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ECommittee:\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EDr. Tentzeris, Advisor\u003C\/p\u003E\u003Cp\u003EDr. Peterson, Chair\u003C\/p\u003E\u003Cp\u003EDr. Durgin\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThe objective of this research is to develop advanced millimeter-wave (mmWave) systems that improve the range, efficiency, and speed of next-generation IoT devices. Many current IoT systems struggle with limited range, power constraints, and slow data rates, making large-scale deployment difficult. This work explores the use of dielectric lenses to enhance signal strength, expand coverage, and enable fully-passive operation. To achieve this, a novel mmWave identification (mmID) system that uses a frequency-diverse pixel antenna array and machine learning to achieve precise localization and two-axis orientation detection is developed. To further extend the reading range, a harmonic retrodirective mmID is constructed, which combines a bi-convex dielectric lens with a fully-passive frequency doubler circuit to enable long-range communication with wide spherical coverage. Building on these advancements, two systems are proposed to address challenges in mmWave energy harvesting and ultra-low power, high speed communication: a 3D lens-enabled energy harvester that efficiently captures RF power from multiple angles and a broadbeam gigabit backscatter mmID designed to support high-speed data transmission over long distances.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Novel Lens-Enhanced mmWave RFID Architectures for Advanced Next-Generation IoT Applications"}],"uid":"28475","created_gmt":"2025-04-03 20:39:28","changed_gmt":"2025-04-03 20:40:37","author":"Daniela Staiculescu","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-04-17T11:00:00-04:00","event_time_end":"2025-04-17T13:00:00-04:00","event_time_end_last":"2025-04-17T13:00:00-04:00","gmt_time_start":"2025-04-17 15:00:00","gmt_time_end":"2025-04-17 17:00:00","gmt_time_end_last":"2025-04-17 17:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Room 523A, TSRB","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":""}}}