Projecten per jaar
Persoonlijk profiel
Expertise
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 a 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
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Vingerafdruk
Verdiep u in de onderzoeksgebieden waarop Nikolaos Deligiannis actief is. Deze onderwerplabels komen uit het werk van deze persoon. Samen vormen ze een unieke vingerafdruk.
- 1 Soortgelijke profielen
Samenwerkingen en hoofdonderzoeksgebieden uit de afgelopen vijf jaar
Recente externe samenwerking op landen-/regioniveau. Duik in de details door op de stippen te klikken of
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IMEC18: ICON project LEMMA
Vandemeulebroucke, J. & Deligiannis, N.
1/09/25 → 31/08/27
Project: Toegepast
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EU691: Reinventing Multiterminal Coding for Intelligent Machines
1/06/25 → 31/05/30
Project: Fundamenteel
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EUAR208: ENACT: Milieueffect op gezondheidszorg en welzijn en actieve interventies
da Silva Gomes, B. T., Stiens, J., Deligiannis, N., Sahli, H. & Argacha, J.
1/01/25 → 30/06/28
Project: Toegepast
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NSIS3: DESTINY:Koolstofarme oplossingen en technologie voor een nieuwe toekomst: Maatschappelijke Impact Netwerk van het Vlaams Instituut voor Koolstofarme Technologieën (FIDT)
Messagie, M., Coosemans, T., De Cauwer, C., Stiens, J., Munteanu, A., Deligiannis, N., da Silva Gomes, B. T., De Cruz, L., Braeken, A., Touhafi, A., Rahier, H., Hauffman, T., Hubin, A., Bellemans, A., Bram, S., De Troyer, T., Runacres, M., Denayer, J., Van Assche, T., Van Mierlo, J., Vanhaverbeke, L., Jacobs, V. A., Rombaut, E., El Baghdadi, M., Hegazy, O. & Berecibar, M.
1/11/24 → 31/10/29
Project: Fundamenteel
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CONO807: (Collen)-Francqui Onderzoekshoogleraar: Toward Trustworthy AI: Interpretable-by-design, Explainable, and Federated Deep Learning
1/09/24 → 1/09/27
Project: Fundamenteel
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A Graph Laplacian Regularizer from Deep Features for Depth Map Super-Resolution
Gartzonikas, G., Tsiligianni, E., Deligiannis, N. & Kondi, L., jun. 2025, In: Information. 16, 6, blz. 1-16 16 blz., 501.Onderzoeksoutput: Article › peer review
Open AccessBestand6 Downloads (Pure) -
An Integrated Sensing and AI Framework for EMF and NO 2 Exposure Assessment in Urban Environments: A Ghent Case Study
Rodrigo-Bonet, E., Qin, X., Deprez, K., Christiaen, L., Martens, L., Celikkol, B., Fabius, J., Philips, W. & Deligiannis, N., 1 jun. 2025, 2025 25th International Conference on Digital Signal Processing, DSP 2025. IEEE, blz. 1-5 5 blz. (International Conference on Digital Signal Processing, DSP).Onderzoeksoutput: Conference paper
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Development and multicentric external validation of a prognostic COVID-19 severity model based on thoracic CT
Dirks, I., Bossa Bossa, M. N., Diaz Berenguer, A., Mukherjee, T., Sahli, H., Deligiannis, N., Verelst, E., Ilsen, B., Van Eyndhoven, S., Seyler, L., Witdouck, A., Darcis, G., Guiot, J., Giannakis, A. & Vandemeulebroucke, J., 1 apr. 2025, In: BMC Medical Informatics and Decision Making. 25, 1, blz. 1-15 15 blz., 156.Onderzoeksoutput: Article › peer review
Open Access -
Evaluation Techniques for Modern Military Camouflage
Cools, K., Maathuis, C., De Cubber, G., Vandewal, M. & Deligiannis, N., 2025, 2025 10th International Conference on Military Technologies, ICMT 2025 - Proceedings. Kolar, P. (redactie). IEEE, blz. 1-6 6 blz. (2025 10th International Conference on Military Technologies, ICMT 2025 - Proceedings).Onderzoeksoutput: Conference paper
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GF-LRP: A Method for Explaining Predictions Made by Variational Graph Auto-Encoders
Rodrigo-Bonet, E. & Deligiannis, N., 2025, In: IEEE Transactions on Emerging Topics in Computational Intelligence. 9, 1, blz. 281-291 11 blz.Onderzoeksoutput: Article › peer review
2 Citaten (Scopus)
Datasets
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reweighted-RNN: An Interpretable Recurrent Neural Network for Video Reconstruction via Deep Unfolding
Joukovsky, B. (Creator), Luong, V. H. (Creator) & Deligiannis, N. (Creator), Zenodo, 2021
Dataset
Prijzen
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Best Paper Award
Deligiannis, Nikolaos (Recipient) & Munteanu, Adrian (Recipient), aug. 2011
Prijs: Prize (including medals and awards)
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Best Paper Award at the 2019 IEEE International Conference on Image Processing
Le, Hung (Recipient), Luong, Van Huynh (Recipient) & Deligiannis, Nikolaos (Recipient), 2019
Prijs: Prize (including medals and awards)
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Best Student Paper Award
Rodrigo Bonet, Esther (Recipient) & Deligiannis, Nikolaos (Recipient), 2024
Prijs: Prize (including medals and awards)
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EURASIP Best PhD Award
Deligiannis, Nikolaos (Recipient), aug. 2017
Prijs: Prize (including medals and awards)
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Activiteiten
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Model-Agnostic Visual Explanations via Approximate Bilinear Models
Boris Joukovsky (Speaker), Fawaz Sammani (Speaker) & Nikolaos Deligiannis (Contributor)
11 okt. 2023Activiteit: Talk or presentation at a conference
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Relevance Propagation through Deep Conditional Random Fields
Xiangyu Yang (Speaker), Boris Joukovsky (Speaker) & Nikolaos Deligiannis (Contributor)
31 mei 2023Activiteit: Talk or presentation at a conference
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LOCALLY ACCUMULATED ADAM FOR DISTRIBUTED TRAINING WITH SPARSE UPDATES
Yiming Chen (Speaker) & Nikolaos Deligiannis (Contributor)
8 okt. 2023 → 11 okt. 2023Activiteit: Talk or presentation at a conference
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KORD-I: A Framework for Real-Time Performance and Cost Optimization of Apache Spark Streaming
Athanasios Kordelas (Speaker) & Nikolaos Deligiannis (Contributor)
2023Activiteit: Talk or presentation at a conference
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A Review of Deep Learning Methods for Automated Clinical Coding
Soha Sadat Mahdi (Speaker), Nikolaos Deligiannis (Contributor) & Hichem Sahli (Contributor)
2023Activiteit: Talk or presentation at a conference
Scriptie
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AEON MK.1 Distributed Query System in Internet of Things Networks
Auteur: Deligiannis, N., Munteanu, A. & Ilovan, I., 2023Scriptie/Masterproef: Master's Thesis
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Algorithmic trading using deep learning, sentiment analysis and deep reinforcement learning
Auteur: Ayoub, M. & Deligiannis, N., 2019Scriptie/Masterproef: Master's Thesis
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Applying Weight Decay and Max-Pooling Gradient Selection Method in Distributed Training
Auteur: Deligiannis, N. & Yan, X., 2021Scriptie/Masterproef: Master's Thesis
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Big data and machine learning techniques to improve the forecast of water levels
Auteur: Deligiannis, N. & Bokungu, J., 2019Scriptie/Masterproef: Master's Thesis
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Consistent stereoscopic video projection on curved displays
Auteur: Lyu, Y. & Deligiannis, N., 2018Begeleider: Munteanu, A. (Promotor)
Scriptie/Masterproef: Master's Thesis