Nikolaos Dionelis

Information

Bio

Nikolaos Dionelis is a professional in the field of Artificial Intelligence and Earth Observation, with a strong foundation in computer vision and machine learning. He is a Research Fellow at the European Space Agency (ESA), working at Φ-lab. His background is rooted in deep learning and computer vision, with experience in both discriminative and generative modelling. His work includes deep discriminative classifier models such as Convolutional Neural Networks (CNNs), Residual Networks (ResNets), and Transformer-based architectures, as well as deep generative models including Generative Adversarial Networks (GANs), invertible flow-based models, Variational Autoencoders (VAEs), and diffusion models. He is motivated by collaborative research and actively contributes to projects that advance Earth Observation science through AI-driven methods.