IONIAN Team
The IONIAN group at ETRO, Vrije Universiteit Brussel (VUB) carries out research in interpretable machine learning, signal processing, and explainable AI. The group is headed by Nikos Deligiannis and is part of the Department of Electronics and Informatics (ETRO) at VUB, and affiliated to imec, Belgium.
Nikos Deligiannis
Nikos Deligiannis is a Professor at ETRO, VUB, the holder of the 2024–2025 Francqui Research Professorship on Trustworthy AI, and a Principal Investigator at imec, Belgium. He received a 2024 ERC Consolidator Grant to conduct research at the intersection between interpretable/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 his Diploma in Electrical and Computer Engineering from the University of Patras, Greece (2006) and his Ph.D. in Engineering Sciences from VUB (2012). From 2013 to 2015, he was a Senior Researcher at University College London, UK. He is a member of IEEE and EURASIP, served as Chair of the EURASIP Technical Area Committee on Signal and Data Analytics for Machine Learning (2021–2023), and serves as an Associate Editor for the IEEE Transactions on Image Processing.
Latest News
Ngoc Tan Le, Tzoulio Chamiti, Eirini Papagiannopoulou, and Nikos Deligiannis — "GATA2Floor: Graph Attention for Floor Counting in Street-View Facades" accepted at IEEE ICIP 2026.
Brent De Weerdt and Nikos Deligiannis — "Neural Rate-Adaptive LDPC Decoding for the Slepian-Wolf Problem" accepted in IEEE Open Journal of Signal Processing.
One paper at CVPR Findings and one at the CVPR Workshop on Distillation of Foundation Models for Autonomous Driving.
IONIAN joins the ENACT consortium on explainable AI for health applications (2025–2028).
Nikos Deligiannis receives a 2024 ERC Consolidator Grant for research on interpretable AI and multiterminal compression for autonomous vehicles.
Esther Rodrigo Bonet wins the Best Student Paper Award for "Physics-Guided Graph Convolutional Deep Equilibrium Networks for Environmental Data".