Nikolaos “Nikos” Deligiannis is an associate professor (hoofdocent) at the Department of Electronics and Informatics (ETRO) at Vrije Universiteit Brussel (VUB) and a senior scientist at imec in Belgium. He is also the Programme Director of the Master in Applied Computer Science at VUB.
In 2006, he received the Diploma in electrical and computer engineering from the University of Patras in Greece and, in 2012, the Ph.D. degree (Hons.) in engineering sciences from Vrije Universiteit Brussel in Belgium. From 2013 to 2015, he was a senior researcher at the Department of Electronic and Electrical Engineering at University College London, UK.
His current research interests focus on interpretable and explainable machine learning, signal processing, and distributed learning for computer vision and data processing. He has authored over 130 journal and conference publications, 5 book chapters, and 5 international patent applications. Here are his Google Scholar, ORCID, Scopus, and dblp profiles.
Since 2021, he serves as chair of the EURASIP Technical Area Committee on Signal and Data Analytics for Machine Learning. He also serves as Associate Editor for the IEEE Transactions on Image Processing. He is a member of the IEEE and EURASIP.
Nikos and his team conduct fundamental and applied research in
Machine learning and signal processing, focusing on theory and architectures for Explainable AI (interpretable convolutional neural networks, recurrent neural networks and deep multimodal networks), sparse signal processing;
Big data sensing, processing, and analysis, addressing applications in social media data analytics (e.g., Fake news detection), smart city data analytics (hyperlocal air-pollution estimation, traffic event detection);
Multimodal visual computing, focusing on the processing and analysis of diverse imaging modalities with various applications from entertainment and surveillance to non-destructive testing;
Natural language processing (fact verification and automated clinical coding).