Philipe Ambrozio Dias
R&D Associate in Computer Vision and Machine Learning
Bio
Philipe A. Dias is currently a R&D Associate in Computer Vision and Machine Learning with the GeoAI group at the Oak Ridge National Laboratory (ORNL). His research interests range from supervised to unsupervised learning for automated image analysis. With particular focus on the task of image semantic segmentation and the application of such techniques to solve problems of practical relevance, his research topics/interests include image annotation, human-in-the-loop interfaces, uncertainty quantification, active learning and semi-supervised learning techniques.
Prior to joining ORNL, his work has found application in wastewater treatment, agricultural automation, and healthcare-related scenarios. Currently, his main focus area is the large-scale analysis of remote sensing imagery using HPC resources.
Before joining ORNL, Philipe received his PhD student in Electrical and Computer Engineering from the Marquette University. His PhD studies also included a period at the University of Genoa (Italy), as part of a collaboration on applying such techniques for healthcare-related scenarios. As result of a Double Masters Degree, he received his M.Sc. in Information Technology from the Hochschule Mannheim (Germany) and his M.Sc. in Electrical & Computer Engineering from the Federal University of Technology (UTFPR, Brazil).