{"681393":{"#nid":"681393","#data":{"type":"event","title":"PhD Defense by Guanzhou Wei","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETitle:\u003C\/strong\u003E\u0026nbsp;Statistical Spatio-Temporal Models with Applications to Natural Processes\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EDate:\u003C\/strong\u003E\u0026nbsp;April 8th, 2025\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETime:\u003C\/strong\u003E\u0026nbsp;3:30 PM \u2013 5:00PM\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELocation:\u0026nbsp;\u003C\/strong\u003EGeorgia Freight Bureau Conference Room\u0026nbsp;(ISyE Groseclose 226)\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EMeeting Link:\u003C\/strong\u003E\u0026nbsp;\u003Ca href=\u0022https:\/\/gatech.zoom.us\/j\/7228364844\u0022 title=\u0022https:\/\/gatech.zoom.us\/j\/7228364844\u0022\u003Ehttps:\/\/gatech.zoom.us\/j\/7228364844\u003C\/a\u003E\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EGuanzhou Wei\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EIndustrial Engineering PhD Student\u003C\/p\u003E\u003Cp\u003EH. Milton Stewart School of Industrial and Systems Engineering\u003C\/p\u003E\u003Cp\u003EGeorgia Institute of Technology\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ECommittee:\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EDr. Xiao Liu (Advisor), H. Milton Stewart School of Industrial and Systems Engineering\u003C\/p\u003E\u003Cp\u003EDr. Jianjun Shi, H. Milton Stewart School of Industrial and Systems Engineering\u003C\/p\u003E\u003Cp\u003EDr.\u0026nbsp;Yu Ding, H. Milton Stewart School of Industrial and Systems Engineering\u003C\/p\u003E\u003Cp\u003EDr. Kamran Paynabar, H. Milton Stewart School of Industrial and Systems Engineering\u003C\/p\u003E\u003Cp\u003EDr. Shuai Huang, Department of Industrial and Systems Engineering, University of Washington\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EIn response to increasingly frequent extreme natural events (e.g., floods, hurricanes, and wildfires), numerous Earth observation programs have been launched in recent decades. As the volume, resolution, and complexity of Earth-monitoring data increase, both opportunities and challenges arise in modeling and understanding the underlying natural processes. This thesis aims to develop statistical spatial-temporal models for analyzing and understanding critical natural processes using Earth observation data.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EIn Chapter 2, we explore power-line fire risk quantification for power delivery infrastructures. We propose a new spatio-temporal point process that captures both the instantaneous and historical effects of key environmental covariates on power-line fire risk, as well as the spatio-temporal dependency among different segments of the power delivery network. In Chapter 3, we develop a physics-informed statistical spatio-temporal model for wildfire aerosol propagation, leveraging multisource remote-sensing data streams and the advection-diffusion equation that governs the process. In Chapter 4, we extend a recently proposed PDE-based statistical spatio-temporal model by incorporating a data-flipping method. This approach ensures that the physical spatial process becomes fully periodic and has a complete waveform without boundary discontinuities. Thus, the Gibbs phenomenon is eliminated even when the Fourier series is truncated in the PDE-based statistical spatio-temporal model.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EStatistical Spatio-Temporal Models with Applications to Natural Processes\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Statistical Spatio-Temporal Models with Applications to Natural Processes"}],"uid":"27707","created_gmt":"2025-03-26 19:03:05","changed_gmt":"2025-03-26 19:03:31","author":"Tatianna Richardson","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-04-08T15:30:00-04:00","event_time_end":"2025-04-08T17:00:00-04:00","event_time_end_last":"2025-04-08T17:00:00-04:00","gmt_time_start":"2025-04-08 19:30:00","gmt_time_end":"2025-04-08 21:00:00","gmt_time_end_last":"2025-04-08 21:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Georgia Freight Bureau Conference Room (ISyE Groseclose 226)","extras":[],"groups":[{"id":"221981","name":"Graduate Studies"}],"categories":[],"keywords":[{"id":"100811","name":"Phd Defense"}],"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":""}}}