{"id":19306,"date":"2023-05-04T14:23:26","date_gmt":"2023-05-04T18:23:26","guid":{"rendered":"https:\/\/cnr.ncsu.edu\/geospatial\/?p=19306"},"modified":"2024-04-04T10:35:25","modified_gmt":"2024-04-04T14:35:25","slug":"may-2023-graduates","status":"publish","type":"post","link":"https:\/\/cnr.ncsu.edu\/geospatial\/news\/2023\/05\/04\/may-2023-graduates\/","title":{"rendered":"Congrats to Our May 2023 Graduates!"},"content":{"rendered":"\n\n\n\n\n

At May graduation, NC State will award four doctorates, 23 professional master\u2019s (MGIST) degrees and 23 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

\"\"
Byron Ifediora<\/strong>, advised by Bethany Cutts
Dissertation: Disaster Nonprofit Relief, and Housing Recovery, Using GIS Techniques<\/em><\/figcaption><\/figure>\n\n\n\n
\"\"
Vishnu Mahesh Vivek Nanda<\/strong>, advised by Perver Baran and Laura Tateosian
Dissertation: Estimating and Modeling Structural Characteristics of Trees Within Aerial LiDAR Data<\/em><\/figcaption><\/figure>\n\n\n\n
\"\"
Katie McQuillan<\/strong>, advised by Katie Martin
Dissertation: Linking Forests and Freshwater across the Southern Appalachian Forest Landscape<\/em><\/figcaption><\/figure>\n\n\n\n
\"\"
Corey White<\/strong>, advised by Helena Mitasova and Ross Meentemeyer
Dissertation: Facilitating Civic Engagement in Rapidly Urbanizing Regions through Geospatial Participatory Modeling<\/em><\/figcaption><\/figure>\n\n\n\n

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

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

And congratulations to our MGIST poster competition winner<\/a>, Dallas Hoffman<\/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 May graduation, NC State will award four doctorates, 23 professional master\u2019s (MGIST) degrees and 23 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

\"\"
Byron Ifediora<\/strong>, advised by Bethany Cutts
Dissertation: Disaster Nonprofit Relief, and Housing Recovery, Using GIS Techniques<\/em><\/figcaption><\/figure>\n\n\n\n
\"\"
Vishnu Mahesh Vivek Nanda<\/strong>, advised by Perver Baran and Laura Tateosian
Dissertation: Estimating and Modeling Structural Characteristics of Trees Within Aerial LiDAR Data<\/em><\/figcaption><\/figure>\n\n\n\n
\"\"
Katie McQuillan<\/strong>, advised by Katie Martin
Dissertation: Linking Forests and Freshwater across the Southern Appalachian Forest Landscape<\/em><\/figcaption><\/figure>\n\n\n\n
\"\"
Corey White<\/strong>, advised by Helena Mitasova and Ross Meentemeyer
Dissertation: Facilitating Civic Engagement in Rapidly Urbanizing Regions through Geospatial Participatory Modeling<\/em><\/figcaption><\/figure>\n\n\n\n

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

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

And congratulations to our MGIST poster competition winner<\/a>, Dallas Hoffman<\/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 50 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":"{\"showAuthor\":true,\"showDate\":true,\"showFeaturedVideo\":false,\"displayCategoryID\":0,\"caption\":\"\"}","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-19306","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-geospatial-analytics-phd","category-mgist","category-student","tag-graduation"],"displayCategory":null,"acf":{"ncst_posts_meta_modified_date":null},"_links":{"self":[{"href":"https:\/\/cnr.ncsu.edu\/geospatial\/wp-json\/wp\/v2\/posts\/19306","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=19306"}],"version-history":[{"count":15,"href":"https:\/\/cnr.ncsu.edu\/geospatial\/wp-json\/wp\/v2\/posts\/19306\/revisions"}],"predecessor-version":[{"id":21682,"href":"https:\/\/cnr.ncsu.edu\/geospatial\/wp-json\/wp\/v2\/posts\/19306\/revisions\/21682"}],"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=19306"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/cnr.ncsu.edu\/geospatial\/wp-json\/wp\/v2\/categories?post=19306"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/cnr.ncsu.edu\/geospatial\/wp-json\/wp\/v2\/tags?post=19306"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}