Luan CSM Ozelim, D.Sc.

He holds a degree in Civil Engineering and a PhD in Geotechnical Engineering (GE) from the University of Brasília (UnB), being recognized by the Brazilian Federal Agency for Support and Evaluation of Graduate Education (CAPES) as the youngest student to obtain a doctoral degree in Brazil (22 years, 1 month, and 6 days), across all fields of study. Currently, he holds the position of Senior Research Collaborator at UnB, where he was granted four postdoctoral fellowships. He also conducted postdoctoral research at the Aeronautics Institute of Technology (ITA), São José dos Campos, where he holds the position of Collaborative Researcher, and maintains an active affiliation with University College London as an Honorary Lecturer.His areas of expertise combine Geotechnical Engineering with advanced Artificial Intelligence, having worked intensively with Deep Learning techniques and their applications to modeling geotechnical phenomena. Additionally, he has worked on the development of automated medical diagnostic systems, including training complex neural networks, Transformer architectures, and fine-tuning Large Language Models (LLMs). In particular, his studies focus on using AI for clinical data analysis and interpretation, development of computer-assisted diagnostic algorithms, and prediction systems based on deep learning. Since 2024, he has been working as an Artificial Intelligence consultant at Oxford Immune Algorithmics, where he develops AI solutions for applications in immunology and medical diagnostics.He has published over fifty articles in international journals addressing Civil Engineering (Hydraulics, Geotechnics, and Geo-environmental Engineering), Pure and Applied Mathematics, Statistics, Network Engineering, Theoretical Computer Science, and Biomedicine. His studies integrate mathematical, statistical, and computational tools for modeling experimental data and complex physical phenomena. Recently, he participated in various RD project teams focused on intelligent monitoring of structures and mining tailings using Deep Learning techniques. He has been working as a Civil Engineer at the Brazilian Federal Senate since 2014, accumulating over 10 years of experience in the design and management of infrastructure projects.