Researcher
Nikos Deligiannis
- Research Expertise
(Vrije Universiteit Brussel):
Nikos Deligiannis (Member, IEEE) received the Diploma degree in electrical and computer engineering from the University of Patras, Patras, Greece, in 2006, and the Ph.D. degree (Hons.) 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. He is currently an Associate Professor with the Department of Electronics and Informatics (ETRO), VUB. His current research interests focus on interpretable machine learning, explainable AI, federated AI, image and video processing, computer vision, and natural language processing.
Dr. Deligiannis is a member of the EURASIP and served as the Chair of the EURASIP Technical Area Committee on Signal and Data Analytics for Machine Learning in the period 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.
- Keywords (Vrije Universiteit Brussel):Explainable AI, Interpretable machine learning, image and video processing, federated AI, computer vision, natural language processing, Electronics and electrical engineering
- Disciplines (Interuniversity Microelectronics Centre):Display technology, Antennas and propagation, Automation and control systems, Analogue, RF and mixed signal integrated circuits, Neuromorphic computing, Audio and speech processing, Environmental safety and health of nanotechnology, Battery technology, Biomaterials, Ceramic matrix composites, Hybrid composites, Computational materials science, Metals and alloy materials, Polymer processing, Nanomaterials, Functional materials, Biomedical image processing, Biochemical engineering, Biofluid mechanics, Cell, tissue and organ engineering, Arithmetic and logic structures, Automation, feedback control and robotics, Bio-informatics, Analogue and digital signal processing, Engineering instrumentation, Environmental health and safety, Biostatistics, Care for disabled, Bioethics
- Disciplines (Vrije Universiteit Brussel):Signal processing, Image and language processing, Multimedia processing not elsewhere classified, Signal processing not elsewhere classified, Data visualisation and imaging, Pattern recognition and neural networks, Video communications, Data communications
- Users of research expertise
(Vrije Universiteit Brussel):
Nikos Deligiannis (Member, IEEE) received the Diploma degree in electrical and computer engineering from the University of Patras, Patras, Greece, in 2006, and the Ph.D. degree (Hons.) 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. He is currently an Associate Professor with the Department of Electronics and Informatics (ETRO), VUB. His current research interests focus on interpretable machine learning, explainable AI, federated AI, image and video processing, computer vision, and natural language processing.
Dr. Deligiannis is a member of the EURASIP and served as the Chair of the EURASIP Technical Area Committee on Signal and Data Analytics for Machine Learning in the period 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.