Speaker Bio

Dr. Philipe Dias is a R&D Associate in Computer Vision and Machine Learning with the GeoAI group at the Oak Ridge National Laboratory (ORNL). His research combines AI, probability theory, and high performance computing for automated image analysis targeting problems of practical relevance. Currently, his main focus is on the large-scale analysis of remote sensing imagery for infrastructure and land use characterization to inform urban dynamics studies and disaster management efforts. His research has encompassed multiple components of image processing pipelines, such as image annotation, human-in-the-loop interfaces, uncertainty quantification, and more recently semi-supervised learning toward foundation models. Prior to joining ORNL, his work has found application in wastewater treatment, agricultural automation, and healthcare-related scenarios. Philipe received a M.Sc. in Information Technology from the Hochschule Mannheim (Germany) and in Electrical & Computer Engineering from the Federal University of Technology (UTFPR, Brazil) as result of a Double Masters Degree, and his PhD in Electrical and Computer Engineering from the Marquette University (USA).