Projects per year
Personal profile
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 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
- free keyword
- Explainable AI
- Interpretable machine learning
- image and video processing
- federated AI
- computer vision
- natural language processing
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Collaborations and top research areas from the last five years
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BRGRD81: Joint R&D 2024: Towards Data Driven Precision Medicine in Chronic Obstructive Pulmonary Disease
1/05/24 → 30/04/27
Project: Applied
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IOFACC12: Tech4Health: Venturing into Future Health Technologies
Stiens, J., Wambacq, P., da Silva Gomes, B. T., Sahli, H., Vandemeulebroucke, J., Jansen, B., Lemeire, J., Steenhaut, K., Munteanu, A., Deligiannis, N., Schelkens, P., Kuijk, M., Parvais, B., Chan, C. W., Van Schependom, J., Touhafi, A., Braeken, A., Runacres, M., Cornelis, B., Schretter, C., Blinder, D. & Temmermans, F.
1/01/24 → 30/06/25
Project: Applied
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CO-OCCURRENCE GRAPH-ENHANCED HIERARCHICAL PREDICTION OF ICD CODES
Mahdi, S., Papagiannopoulou, E., Deligiannis, N. & Sahli, H., 2024, (Accepted/In press) 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2024). IEEE, 5 p.Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Research
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Deep Unfolding Transformers for Sparse Recovery of Video
De Weerdt, B., Eldar, Y. C. & Deligiannis, N., 25 Mar 2024, In: IEEE Transactions on Signal Processing. 72, p. 1782-1796 15 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile32 Downloads (Pure) -
GF-LRP: A Method for Explaining Predictions Made by Variational Graph Auto-Encoders
Rodrigo-Bonet, E. & Deligiannis, N., 2024, In: IEEE Transactions on Emerging Topics in Computational Intelligence. 2471-285X, p. 1-11 11 p.Research output: Contribution to journal › Article › peer-review
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Holistic Representation Learning for Multitask Trajectory Anomaly Detection
Stergiou, A., De Weerdt, B. & Deligiannis, N., 3 Jan 2024, Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). IEEE, p. 6729-6739 11 p. (Proceedings - 2024 IEEE Winter Conference on Applications of Computer Vision, WACV 2024).Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Research
Open AccessFile2 Citations (Scopus)55 Downloads (Pure) -
Human Pose Estimation Based on ISAR and Deep Learning
Javadi, S. H., Bourdoux, A., Deligiannis, N. & Sahli, H., 16 Jul 2024, In: IEEE Sensors Journal. 24, 17, p. 28324-28337 14 p.Research output: Contribution to journal › Article › peer-review
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
Prizes
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Best Paper Award
Deligiannis, Nikolaos (Recipient) & Munteanu, Adrian (Recipient), Aug 2011
Prize: Prize (including medals and awards)
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Best Paper Award at the 2019 IEEE International Conference on Image Processing
Le, H. (Recipient), Luong, V. H. (Recipient) & Deligiannis, Nikolaos (Recipient), 2019
Prize: Prize (including medals and awards)
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EURASIP Best PhD Award
Deligiannis, Nikolaos (Recipient), Aug 2017
Prize: Prize (including medals and awards)
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Scientific prize IBM Belgium for Informatics (FWO)
Deligiannis, Nikolaos (Recipient), 2013
Prize: Prize (including medals and awards)
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Young Scientist Best Paper Award
Deligiannis, Nikolaos (Recipient), Do Huu, T. (Recipient) & Nguyen, M. D. (Recipient), 2018
Prize: Prize (including medals and awards)
Activities
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IEEE Transactions on Image Processing (Journal)
Fawaz Sammani (Editor), Nikolaos Deligiannis (Editor) & Boris Joukovsky (Editor)
29 Dec 2023Activity: Publication peer-review and editorial work › Publication peer-review
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LOCALLY ACCUMULATED ADAM FOR DISTRIBUTED TRAINING WITH SPARSE UPDATES
Yiming Chen (Speaker) & Nikolaos Deligiannis (Contributor)
8 Oct 2023 → 11 Oct 2023Activity: Talk or presentation › 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 May 2023Activity: Talk or presentation › 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)
2023Activity: Talk or presentation › 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)
2023Activity: Talk or presentation › Talk or presentation at a conference
Thesis
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AEON MK.1 Distributed Query System in Internet of Things Networks
Author: Deligiannis, N., Munteanu, A. & Ilovan, I., 2023Student thesis: Master's Thesis
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Algorithmic trading using deep learning, sentiment analysis and deep reinforcement learning
Author: Ayoub, M. & Deligiannis, N., 2019Student thesis: Master's Thesis
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Applying Weight Decay and Max-Pooling Gradient Selection Method in Distributed Training
Author: Deligiannis, N. & Yan, X., 2021Student thesis: Master's Thesis
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Big data and machine learning techniques to improve the forecast of water levels
Author: Deligiannis, N. & Bokungu, J., 2019Student thesis: Master's Thesis
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Consistent stereoscopic video projection on curved displays
Author: Lyu, Y. & Deligiannis, N., 2018Supervisor: Munteanu, A. (Promotor)
Student thesis: Master's Thesis