{"id":12581,"date":"2025-01-17T08:33:21","date_gmt":"2025-01-17T06:33:21","guid":{"rendered":"https:\/\/geosense.ro\/?post_type=team&p=12581"},"modified":"2026-03-24T12:22:26","modified_gmt":"2026-03-24T10:22:26","slug":"teodor-costachioiu","status":"publish","type":"team","link":"https:\/\/geosense.ro\/ro\/team\/teodor-costachioiu\/","title":{"rendered":"Teodor COST\u0102CHIOIU"},"content":{"rendered":"\t\t
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Teodor Cost\u0103chioiu<\/strong> is a Research Scientist at the GeoSense Laboratory<\/strong>, Politehnica University of Bucharest. He joined GeoSense in December 2024<\/strong>, where he contributes to the AI4RISK<\/strong> project, developing AI-based methods for multi-source data fusion and predictive risk assessment.<\/p>\n

His current work integrates Earth-observation data with advanced machine learning and retrieval-augmented generation (RAG) systems to support environmental monitoring and risk analysis.<\/p>\n

He received his degree in Electronics and Telecommunications Engineering<\/strong> (a five-year program equivalent to M.Eng.) from Politehnica University of Bucharest in 1997<\/strong>, and his Ph.D. in Electronic Engineering<\/strong> from the same university in 2011<\/strong>. His doctoral research introduced a novel approach for spatio-temporal change detection using the Latent Dirichlet Allocation (LDA)<\/strong> algorithm, originally developed for text analysis, to model land-cover dynamics in satellite image time series of the Bucharest\u2013Ilfov region.<\/p>\n

Between 2011 and 2014<\/strong>, he was a Research Scientist at the CEOSpaceTech Research Center, where he contributed to the LEOSITS (Long-Term Data Exploitation for Satellite Image Time Series) project. His work during this period focused on the development of algorithms for spatiotemporal information extraction from large satellite archives.<\/p>\n

His research interests include remote-sensing data analytics<\/strong>, AI-driven change detection<\/strong>, explainable machine learning<\/strong>, and the application of large language models<\/strong> for semantic interpretation of multimodal Earth-observation data.<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

Teodor Cost\u0103chioiu is a Research Scientist at the GeoSense Laboratory, Politehnica University of Bucharest. He joined GeoSense in December 2024, where he contributes to the AI4RISK project, developing AI-based methods for multi-source data fusion and predictive risk assessment. His current work integrates Earth-observation data with advanced machine learning and retrieval-augmented generation (RAG) systems to support […]<\/p>\n","protected":false},"featured_media":12491,"parent":0,"menu_order":4,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false},"class_list":["post-12581","team","type-team","status-publish","has-post-thumbnail","hentry"],"acf":{"social_one":"bi bi-google","social_one_link":"https:\/\/scholar.google.com\/citations?user=zC9VzB0AAAAJ&hl=en","social_two":"bi bi-linkedin","social_two_link":"https:\/\/www.linkedin.com\/in\/tcostachioiu\/","social_three":"bi bi-github","social_three_link":"https:\/\/github.com\/tcostachioiu\/","social_four":"","social_four_link":""},"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t