Nikos Deligiannis is a Professor with the Department of Electronics and Informatics (ETRO), Vrije Universiteit Brussel (VUB), the holder of the 2024-2025 Francqui Research Professorship on Trustworthy AI at VUB, and a Principal Investigator at imec, Belgium. He received a 2024 ERC Consolidator Grant to conduct research at the intersection between interpretable and explainable AI and multiterminal compression for autonomous vehicles. His current research focuses on interpretable and explainable AI, multidimensional signal processing, computer vision, and distributed/federated AI for automotive and healthcare applications.

He received the Diploma degree in electrical and computer engineering from the University of Patras, Patras, Greece, in 2006, and the Ph.D. degree in engineering sciences from Vrije Universiteit Brussel (VUB), Brussels, Belgium, in 2012. From 2013 to 2015, he was a Senior Researcher with the Department of Electronic and Electrical Engineering, University College London, London, U.K.

Dr. Deligiannis is a member of the IEEE and EURASIP and served as the Chair of the EURASIP Technical Area Committee on Signal and Data Analytics for Machine Learning in 2021-2023. He serves as an Associate Editor for the IEEE Transactions on Image Processing and has been a Guest Editor for special issues at the EURASIP Journal on Advances in Signal Processing and the Signal Processing journal.