{"id":20783,"date":"2023-12-14T11:49:40","date_gmt":"2023-12-14T16:49:40","guid":{"rendered":"https:\/\/cnr.ncsu.edu\/geospatial\/?p=20783"},"modified":"2024-04-04T10:41:45","modified_gmt":"2024-04-04T14:41:45","slug":"december-2023-graduates","status":"publish","type":"post","link":"https:\/\/cnr.ncsu.edu\/geospatial\/news\/2023\/12\/14\/december-2023-graduates\/","title":{"rendered":"Congrats to Our December 2023 Graduates!"},"content":{"rendered":"\n\n\n\n\n

At December graduation, NC State is awarding five doctorates, 12 professional master\u2019s (MGIST) degrees and 21 graduate certificates to members of the Center for Geospatial Analytics community. Congratulations to all of our students on their success!<\/p>\n\n\n\n

Doctorate<\/h2>\n\n\n\n

Our Geospatial Analytics Ph.D.<\/a> program unites departments across the university to train a new generation of interdisciplinary data scientists skilled in developing novel understanding of spatial phenomena and applying new knowledge to grand challenges.<\/p>\n\n\n\n

\"\"
Elyssa Collins<\/strong>, advised by Ross Meentemeyer and Georgina Sanchez
Dissertation: Computationally Efficient Approaches to Modeling Flood Risk and River Discharge at Scale<\/em><\/figcaption><\/figure>\n\n\n\n
\"Xiaojie
Xiaojie Gao<\/strong>, advised by Josh Gray
Dissertation: Does Chilling Explain the \u0003Divergent Response of Spring Phenology to Urban Heat Islands?<\/em><\/figcaption><\/figure>\n\n\n\n
\"Kimia
Kimia Karimi<\/strong>, advised by Dan Obenour
Dissertation: Assessing Spatio-Temporal Variability in Watershed \u0003Nutrient Loadings Using Statistical-Mechanistic Modeling<\/em><\/figcaption><\/figure>\n\n\n\n
\"Rohith
Rohith Matli<\/strong>, advised by Dan Obenour
Dissertation: Estimating and Forecasting the Spatio-Temporal Hypoxia Dynamics in Northern Gulf of Mexico<\/em><\/figcaption><\/figure>\n\n\n\n
\"Ian
Ian McGregor<\/strong>, advised by Josh Gray
Dissertation: Advancing Near Real-Time Deforestation Monitoring via Multi-Source Remote Sensing Data, Landscape Processes and End-User Contributions<\/em><\/figcaption><\/figure>\n\n\n\n

Master of Geospatial Information Science and Technology<\/h2>\n\n\n\n

Our\u00a0MGIST<\/a>\u00a0program equips students with the knowledge and tools to become geospatial professionals through a unique curriculum that leverages NC\u00a0State\u2019s strengths in computational and data sciences and interdisciplinary training, in combination with professional skills development. The degree\u00a0was designed to be completed entirely online,\u00a0<\/strong>allowing flexibility for both students just entering the work force and those already established. Learn more about\u00a0this semester\u2019s\u00a0service-learning capstone projects<\/a>.<\/p>\n\n\n\n

And congratulations to our\u00a0MGIST poster competition winner<\/a>,\u00a0Kim Garrett<\/a><\/strong>!<\/p>\n\n\n\n

\"MGIST<\/figure>\n\n\n\n

Graduate Certificate in Geospatial Information Science<\/h2>\n\n\n\n

Our graduate certificate<\/a> provides students with a graduate level academic credential in advanced GIS applications. This program is designed for students who wish to establish themselves in GIS practice, enhance current skill sets or are not yet ready to commit to a full graduate program. The certificate<\/strong> can be completed entirely online <\/strong>and is also available to current NC State students enrolled in a non-GIS graduate degree.<\/p>\n\n\n\n

\"Certificate<\/figure>\n","protected":false,"raw":"\n\n\n\n\n

At December graduation, NC State is awarding five doctorates, 12 professional master\u2019s (MGIST) degrees and 21 graduate certificates to members of the Center for Geospatial Analytics community. Congratulations to all of our students on their success!<\/p>\n\n\n\n

Doctorate<\/h2>\n\n\n\n

Our Geospatial Analytics Ph.D.<\/a> program unites departments across the university to train a new generation of interdisciplinary data scientists skilled in developing novel understanding of spatial phenomena and applying new knowledge to grand challenges.<\/p>\n\n\n\n

\"\"
Elyssa Collins<\/strong>, advised by Ross Meentemeyer and Georgina Sanchez
Dissertation: Computationally Efficient Approaches to Modeling Flood Risk and River Discharge at Scale<\/em><\/figcaption><\/figure>\n\n\n\n
\"Xiaojie
Xiaojie Gao<\/strong>, advised by Josh Gray
Dissertation: Does Chilling Explain the \u0003Divergent Response of Spring Phenology to Urban Heat Islands?<\/em><\/figcaption><\/figure>\n\n\n\n
\"Kimia
Kimia Karimi<\/strong>, advised by Dan Obenour
Dissertation: Assessing Spatio-Temporal Variability in Watershed \u0003Nutrient Loadings Using Statistical-Mechanistic Modeling<\/em><\/figcaption><\/figure>\n\n\n\n
\"Rohith
Rohith Matli<\/strong>, advised by Dan Obenour
Dissertation: Estimating and Forecasting the Spatio-Temporal Hypoxia Dynamics in Northern Gulf of Mexico<\/em><\/figcaption><\/figure>\n\n\n\n
\"Ian
Ian McGregor<\/strong>, advised by Josh Gray
Dissertation: Advancing Near Real-Time Deforestation Monitoring via Multi-Source Remote Sensing Data, Landscape Processes and End-User Contributions<\/em><\/figcaption><\/figure>\n\n\n\n

Master of Geospatial Information Science and Technology<\/h2>\n\n\n\n

Our\u00a0MGIST<\/a>\u00a0program equips students with the knowledge and tools to become geospatial professionals through a unique curriculum that leverages NC\u00a0State\u2019s strengths in computational and data sciences and interdisciplinary training, in combination with professional skills development. The degree\u00a0was designed to be completed entirely online,\u00a0<\/strong>allowing flexibility for both students just entering the work force and those already established. Learn more about\u00a0this semester\u2019s\u00a0service-learning capstone projects<\/a>.<\/p>\n\n\n\n

And congratulations to our\u00a0MGIST poster competition winner<\/a>,\u00a0Kim Garrett<\/a><\/strong>!<\/p>\n\n\n\n

\"MGIST<\/figure>\n\n\n\n

Graduate Certificate in Geospatial Information Science<\/h2>\n\n\n\n

Our graduate certificate<\/a> provides students with a graduate level academic credential in advanced GIS applications. This program is designed for students who wish to establish themselves in GIS practice, enhance current skill sets or are not yet ready to commit to a full graduate program. The certificate<\/strong> can be completed entirely online <\/strong>and is also available to current NC State students enrolled in a non-GIS graduate degree.<\/p>\n\n\n\n

\"Certificate<\/figure>\n"},"excerpt":{"rendered":"

This semester, we celebrate the NC State graduation of 38 members of the Center for Geospatial Analytics community. Congratulations to all of our doctoral, professional master\u2019s and graduate certificate students on their success!<\/p>\n","protected":false},"author":2,"featured_media":9256,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"source":"","ncst_custom_author":"","ncst_show_custom_author":false,"ncst_dynamicHeaderBlockName":"ncst\/default-post-header","ncst_dynamicHeaderData":"{\"displayCategoryID\":6,\"showAuthor\":true,\"showDate\":true,\"showFeaturedVideo\":false}","ncst_content_audit_freq":"","ncst_content_audit_date":"","ncst_content_audit_display":false,"ncst_backToTopFlag":"","footnotes":"","_links_to":"","_links_to_target":""},"categories":[48,5,6],"tags":[69],"class_list":["post-20783","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-geospatial-analytics-phd","category-mgist","category-student","tag-graduation"],"displayCategory":{"term_id":6,"name":"Students","slug":"student","term_group":0,"term_taxonomy_id":6,"taxonomy":"category","description":"","parent":0,"count":159,"filter":"raw"},"acf":{"ncst_posts_meta_modified_date":null},"_links":{"self":[{"href":"https:\/\/cnr.ncsu.edu\/geospatial\/wp-json\/wp\/v2\/posts\/20783","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/cnr.ncsu.edu\/geospatial\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/cnr.ncsu.edu\/geospatial\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/cnr.ncsu.edu\/geospatial\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/cnr.ncsu.edu\/geospatial\/wp-json\/wp\/v2\/comments?post=20783"}],"version-history":[{"count":14,"href":"https:\/\/cnr.ncsu.edu\/geospatial\/wp-json\/wp\/v2\/posts\/20783\/revisions"}],"predecessor-version":[{"id":20858,"href":"https:\/\/cnr.ncsu.edu\/geospatial\/wp-json\/wp\/v2\/posts\/20783\/revisions\/20858"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/cnr.ncsu.edu\/geospatial\/wp-json\/wp\/v2\/media\/9256"}],"wp:attachment":[{"href":"https:\/\/cnr.ncsu.edu\/geospatial\/wp-json\/wp\/v2\/media?parent=20783"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/cnr.ncsu.edu\/geospatial\/wp-json\/wp\/v2\/categories?post=20783"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/cnr.ncsu.edu\/geospatial\/wp-json\/wp\/v2\/tags?post=20783"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}