معرفی
Diogo Cosme is a Researcher and Research Assistant at ISTAR-Iscte (Research Center in Information Sciences, Technologies and Architecture) within the School of Technology and Architecture at ISCTE - University Institute of Lisbon. He is currently pursuing doctoral studies in Information Sciences and Technologies while actively contributing to research projects and teaching.
His academic qualifications include:
- PhD in Information Sciences and Technologies (2024-2028) at ISCTE
- Master's in Computer Engineering (2022-2024) at ISCTE
- Master's in Intelligent Systems and Applications (2023-2024) at Université Gustave Eiffel
- Bachelor's in Computer Engineering (2019-2022) at ISCTE
Diogo's research centers on applying Generative AI to Geographic Information Systems (GIS), with emphasis on developing natural language interfaces that enable non-specialists to interact with geographic data through conversational AI. His work bridges artificial intelligence, spatial analysis, and human-computer interaction, focusing on making complex GIS tools accessible through intuitive language-based interfaces. This research has direct applications in smart tourism, urban planning, and location-based services.
His recent publications demonstrate a clear trajectory in AI-driven information systems, particularly in LLM-based classification systems and smart tourism observatories. The 2024 conference paper examines content classification challenges in information retrieval, while the 2023 report establishes foundational work for the European Smart Tourism Tools Observatory, both reflecting his expertise in applying AI to domain-specific information systems.
No scientific awards were documented in the provided materials.
Diogo contributes to the EUROSTIT project (continuing his master's work from the RESETTING project) and teaches Algorithm Design and Analysis for Computer Engineering students (2025/2026 academic year). He actively pursues professional development through initiatives like the Lisbon Machine Learning School (LxMLS 25), demonstrating commitment to advancing his technical capabilities in machine learning applications.
He operates within ISTAR-Iscte's Software Systems Engineering group, collaborating on interdisciplinary projects that integrate AI methodologies with real-world spatial data challenges, particularly in tourism technology and geographic information processing.
