{"678614":{"#nid":"678614","#data":{"type":"event","title":"Ph.D. Proposal Oral Exam - Niyem Mawembe Bawana","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp; \u003C\/strong\u003E\u003Cem\u003EAI-Driven Terahertz Imaging for Nondestructive Evaluation of Glass Fiber Materials\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ECommittee:\u0026nbsp;\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EDr.\u0026nbsp;Citrin, Advisor\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EDr. Anderson, Chair\u003C\/p\u003E\u003Cp\u003EDr. Sherman\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThis proposal aims to develop advanced AI models that enhance the assessment and characterization of glass fiber-reinforced polymer (GFRP) materials using terahertz (THz) imaging. By integrating AI-driven analysis with THz time-domain spectroscopy, the research seeks to complement existing nondestructive evaluation (NDE) techniques. These AI models will improve the precision in defect detection, thickness estimation, and 3D imaging, enabling more comprehensive material characterization. The approach will deliver optimal results by enhancing current methods and offering deeper insights into GFRP materials, which are critical in industries like aerospace and civil engineering.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"AI-Driven Terahertz Imaging for Nondestructive Evaluation of Glass Fiber Materials"}],"uid":"28475","created_gmt":"2024-11-23 23:43:11","changed_gmt":"2024-11-23 23:44:34","author":"Daniela Staiculescu","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2024-12-03T11:00:00-05:00","event_time_end":"2024-12-03T13:00:00-05:00","event_time_end_last":"2024-12-03T13:00:00-05:00","gmt_time_start":"2024-12-03 16:00:00","gmt_time_end":"2024-12-03 18:00:00","gmt_time_end_last":"2024-12-03 18:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Online","extras":[],"related_links":[{"url":"https:\/\/teams.microsoft.com\/l\/meetup-join\/19%3ameeting_NDIwNDQxYzYtNjE1MC00ZjkzLThhYjYtOTQ1YjBiZDU3MzEw%40thread.v2\/0?context=%7b%22Tid%22%3a%22482198bb-ae7b-4b25-8b7a-6d7f32faa083%22%2c%22Oid%22%3a%22bbe21041-3adc-49e3-8042-1ecaf633ac61%22%7d","title":"Microsoft Teams Meeting link"}],"groups":[{"id":"434371","name":"ECE Ph.D. Proposal Oral Exams"}],"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":""}}}