Dr. Nikolaos Dionelis - UDRC Research Video 2023
From Joe Burchell
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From Joe Burchell
Nikolaos is a Postdoctoral Research Associate in Machine Learning at the University of Edinburgh in the Department of Electronics and Electrical Engineering, Digital Communications Research Institute, School of Engineering. He is a deep learning enthusiast working at the intersection of machine learning, computer vision, speech and audio, and signal processing.
As a four-year Postdoctoral Research Associate in Machine Learning, Nikolaos works within the University Defence Research Collaboration (UDRC) in Signal Processing. I work within Work Package (WP) 3.1 entitled "Robust Generative Neural Networks", and more information about the UDRC research project can be found in (UDRC EPSRC), (WP3.1 UDRC), and (WPs UDRC).
Research Topics: Deep learning, Anomaly detection/ Out-of-Distribution (OoD) detection; Deep generative models, Generative Adversarial Networks (GAN); Discriminative models, Classification; Semi- and self-supervised learning, Contrastive learning; Few-shot anomaly detection, Low- and few-shot learning; Robust learning with label noise; Automated solutions using machine learning and signal processing techniques.
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