Program

09:45 - 10:20

Welcome and Registration

10:20 - 10:30

Opening

10:30 - 11:30

Session 1

• Two-stage Bayesian Non-parametric Clustering for Channel with Intersymbol Interference and Bursty Impulsive Noise Chinhung Chen (Eindhoven University of Technology)*; Boris Karanov (Karlsruhe Institute of Technology); Yan Wu (NXP Semiconductor); Wim van Houtum (Eindhoven University of Technology, NXP Semiconductor)
• A Hierarchical View of Structured Sparsity in Kronecker Compressive Sensing Yanbin He (Delft University of Technology)*; Geethu Joseph (Delft University of Technology)
• Impact of Environmental Conditions on Fingerprint Image Quality and Recognition Performance Florens de Wit (University of Twente)

11:30 - 12:30

Poster session and break

1. A Power Consumption Study of Fixed Access Networks in a Post-Growth Context applied to Brussels Capital Region - Marion Allard (UCLouvain); Jérôme Louveaux (UCLouvain); David Bol (UCLouvain)
2. Deep Learning Based Lifetime Prediction on p-GaN Gate HEMTs - Zhixuan Ge (Delft University of Technology); Sinian Li (Delft University of Technology); Andrea Tallarico (University of Bologna); Maurizio Millesimo (University of Bologna); Vladislav Volosov (University of Bologna); Antonio Imbruglia (STMicroelectronics); Justin Dauwels (Delft University of Technology)
3. Differential Privacy for Markov Chains - Jasper Goseling (University of Twente)
4. Reverse Engineering and FPGA Implementation of an OOK Receiver - Mohamed Aiham Hemza (TU Eindhoven); Zachary Kohnen (TU Eindhoven); Alex Alvarado (TU Eindhoven)
5. Privacy Preserving Crowd Counting using Deep Learning on Range-Doppler Maps - Hippolyte Hilgers (UCLouvain); Martin Willame (UCLouvain); Gilles Monnoyer de Galland (UCLouvain); Jérôme Louveaux (UCLouvain); Christophe De Vleeschouwer (UCLouvain); Anne-Sophie Collin (UCLouvain)
6. Numerical evaluation of Gaussian mixture entropy - Basheer Joudeh (Eindhoven University of Technology)
7. Array Design using the Worst-Case Two-Target Cramér-Rao Bound for Angle of Arrival Estimation - Costas Kokke (Delft University of Technology)
8. GNN-based Precoder Design and Fine-tuning for Cell-free Massive MIMO with Real-world CSI - Tianzheng Miao (KU Leuven); Thomas Feys (KU Leuven); Gilles Callebaut (KU Leuven); Jarne Vanmulders (KU Leuven); Emanuele Peschiera (KU Leuven); Md Arifur Rahman (IS-Wireless); François Rottenberg (KU Leuven)
9. Attributional Life-Cycle Assessment of Wireless Plant Sensing Module - Lyssa Ramaut (KU Leuven); Jona Cappelle (KU Leuven); Lieven De Strycker (KU Leuven); Liesbet Van der Perre (KU Leuven)
10. Joint Pilot and Data-based Localization Exploiting Direct and Relative Information Between Receivers - Mathieu Reniers (UCLouvain); Martin Willame (UCLouvain); Laurence Defraigne (UCLouvain); Gilles Monnoyer (UCLouvain); Jérôme Louveaux (UCLouvain); Luc Vandendorpe (UCLouvain)
11. Through-Screen Computing - Hanting Ye (Delft University of Technology); Qing Wang (Delft University of Technology)
12. Leveraging Power Amplifier Distortion for Physical Layer Security -Reza Ghasemi Alavicheh (KU Leuven); Thomas Feys (KU Leuven); MD Arifur Rahman (IS-Wireless); François Rottenberg (KU Leuven)
13. On the Privacy-Robustness Trade-off in Distributed Average Consensus - Zarè Palanciyan
14. Machine Learning-based Lifetime Prediction and Uncertainty Estimation of GaN HEMTs Shuoyan Zhao (Tudelft); Raj Thilak Rajan (TUdelft); Andrea Natale Tallarico (UNIBO); Maurizio Millesimo (UNIBO); Vladislav Volosov (UNIBO); Antonio Imbruglia (STMicroelectronics); Justin Dauwels (TUdelft)

12:30 - 13:30

Lunch

13:30 - 14:30

Session 2

• Accelerating Selective Sweep Detection using AMD Deep Learning Processing Units and Vitis AI Sebastian Bunda (University of Twente); Nikolaos Alachiotis (University of Twente); Luuk Spreeuwers (University of Twente)
• Transformer-based Motor Fault Detection Using DWT Jiarui Zhou (Delft University of Technology (TU Delft)); Sinian Li (Delft University of Technology (TU Delft)); Edmund Marth (Johannes Kepler University Linz); Patrick Zorn (Johannes Kepler University Linz); Wolfgang Gruber (Johannes Kepler University Linz); Justin Dauwels (Delft University of Technology (TU Delft))
• Revisiting Rotational Cryptanalysis on Chained Modular Additions Addie Neyt (KULeuven)

14:30 - 15:00

Coffee break

15:00 - 16:00

Session 3

• Hybrid Fusion for 802.11ax Wi-Fi-based Passive Radars Exploiting Beamforming Feedbacks Martin Willame (UCLouvain); Hasan Can Yildirim (ULB); Laurent Storrer (ULB); Francois Horlin (ULB); Jerome Louveaux (UCLouvain)
•  Learnable Model Compression for Edge Inference Joris van de Weg (TU Delft); Sinian Li (TU Delft); Justin Dauwels (TU Delft)
• A Sparse Network Design for Fast Multiagent Formation Stabilization Zhonggang Li (Delft University of Technology); Geert Leus (Delft University of Technology); Raj Thilak Rajan (Delft University of Technology)

16:00 - 16:15

Coffee break

16:15 - 17:00

Keynote speaker 1: Frans Willems (Explaining ZIP Using Information Theory)

Frans M.J. Willems was born in Stein, The Netherlands, in 1954. He received the M.Sc. degree in Electrical Engineering from the Technische Universiteit Eindhoven, Eindhoven, The Netherlands, and the Ph.D. degree from the Katholieke Universiteit Leuven, Leuven, Belgium, in 1979 and 1982 respectively. In 1982 he joined the Electrical Engineering Department of the Technische Universiteit Eindhoven. He is full professor (emeritus) there. His research contributions are in the areas of multi-user information theory, noiseless source coding, data-embedding, and biometrics. From 1999 - 2016 he was an advisor for Philips Research Laboratories, Eindhoven, for topics related to information theory.

Frans Willems received the Marconi Young Scientist Award in 1982. He is co-recipient of the 1996 IEEE Information Theory Society Paper Award for a paper in which the Context-Tree Weighting Algorithm was proposed. From 1998 to 2000 he was a member of the Board of Governors of the IEEE Information Theory Society. Since 2005 Frans Willems is an IEEE Fellow. He was was Chairman of the IEEE Benelux Chapter on Information Theory from 2007 to 2017. Dr. Willems received a 2011 Best Paper Award from the IEEE Signal Processing Society for the paper “Biometric Systems: Privacy and Security Aspects.” In 2014 - 2015 Frans Willems was a Distinguished Lecturer of the IEEE Information Theory Society. He has contributed more than two hundred journal and conference papers. He holds several patents. Recently Frans Willems received the 2024 IEEE Richard W. Hamming Medal.

17:00 - 18:30

Drinks

18:30 - 22:00

Social event and dinner

22:00

Back in the resort

09:00 - 10:00

Keynote speaker 2: Kiran Raja (Attacks on Face Biometrics Systems)

Face Recognition Systems (FRS) have been widely adopted across various applications, with deep learning advancements significantly improving their accuracy. However, these same advancements—along with the rise of generative AI—have introduced a new wave of sophisticated attacks, making FRS increasingly vulnerable. From Deepfakes and morphing attacks to the more recent adversarial attacks, FRS have repeatedly demonstrated a lack of resilience against evolving threats.

This talk will delve into the attack potential of these techniques, the challenges in detecting such threats, and strategies for enhancing the robustness of FRS. The second half of the discussion will focus on the pressing issues of generalizability and explainability, highlighting their critical role in helping human observers make informed decisions—especially in safety-critical applications.

Biography

Kiran Raja is a faculty member at the Norwegian University of Science and Technology (NTNU), Norway. He has participated in EU-funded projects such as SOTAMD, iMARS, INGRESS and other nationally funded projects on biometrics, security and machine learning. With his participation in SOTAMD and iMARS projects at the Norwegian Biometrics Laboratory (NBL), he works on different problems in morphing attacks from both generation and detection perspectives. In addition, his research interest also lies in detecting manipulations like DeepFakes and adversarial attacks. He is a member of the European Association of Biometrics (EAB) and chairs the Academic Special Interest Group at EAB. He also serves as program co-chair for the BIOSIG conference. He also advises various national agencies in Norway on making biometric systems secure. His recent research focuses on attacks and defences on biometric systems using pattern recognition and machine learning approaches.

10:00 - 10:15 

Coffee break

10:15 - 11:00

WIC General Assembly

11:00 - 12:00

Session 4

• Physics-informed Intelligent Motor Fault Detection on Edge Devices Sinian Li (Delft University of Technology (TU Delft)); Raj Thilak Rajan (Delft University of Technology (TU Delft)); Edmund Marth (Johannes Kepler University Linz); Patrick Zorn (Johannes Kepler University Linz); Wolfgang Gruber (Johannes Kepler University Linz); Justin Dauwels (Delft University of Technology (TU Delft))
• Frame-Level Autoregression Yields High-Quality Spatio-Temporal Modelling of Rainfall Varun Sarathchandran (Delft University of Technology); Justin Dauwels (Delft University of Technology); Cristian Mwo (Delft University of Technology); Ruben Imhoff (Deltares); Remko Uijlenhoet (Delft University of Technology)
• Long-Range Light Messaging: To Backscatter or not to Backscatter? Tijl Schepens (KU Leuven); Gilles Callebaut (KU Leuven); Liesbet Van der Perre (KU Leuven)

12:00 - 13:00

Lunch 

13:00 - 14:00

Session 5 

• Exploring the statistical behavior of Facial Biometrics Based on Neural Embeddings in Privacy-Preserving schemes Erica Liu (Eindhoven University of Technology); Jean-Paul Linnartz (Eindhoven University of Technology)
• Automatic Reading of Hazmat Plates using Computer Vision Techniques Stanislav Levendeev (University of Twente); Ewaldo Nieuwenhuis (University of Twente); Melissa Tijink (University of Twente); Estefaniá Talavera (University of Twente)
•  Near-Field Wideband Localization: Performance Analysis Based on the Ambiguity Function Laurence Defraigne (UCLouvain); Luc Vandendorpe (UCLouvain); Jérôme Louveaux (UCLouvain)

14:00 - 14:15

Coffee break

14:15 - 14:55

Session 6

• Graph Topology Identification Based on Covariance Matching Yongsheng Han (TU Delft); Geert Leus (TU Delft)
• Unclonable Encryption with Continuous Variables Arpan Ray (TU Eindhoven)

14:55 - 15:15

Coffee break

15:15 - 15:30

Award and closing

15:30 - 16:30

Drinks