G.J.T. Leus

G.J.T. Leus is a Professor at Delft University of Technology's Faculty of Electrical Engineering, Mathematics and Computer Science, where he leads research in the Signal Processing Systems department. His work spans foundational algorithms and applied systems across wireless communications, medical imaging, and network analysis. With over 498 research outputs including journal articles, conference papers, and patents, he maintains an active research program in cutting-edge signal processing methodologies.

Research interests focus on:

• Signal Processing Systems: Advanced algorithms for spectral estimation, array design, and sensor optimization
• Computational Imaging: Ultrasound techniques for medical diagnostics including carotid artery visualization
• Graph-Based Methods: Graph neural networks for localization and topology identification
• Wireless Technologies: OTFS modulation, MIMO systems, and phased array design

Recent publications (2023-2025) demonstrate strong emphasis on:

• Integration of deep learning with tensor decompositions for channel estimation
• Fundamental limits in estimation theory using Cramér-Rao bound frameworks
• Topological signal processing extensions to simplicial complexes
• Computational imaging innovations for medical ultrasound

Academic leadership includes editorial roles for the Eurasip Journal on Advances in Signal Processing, keynote presentations at major conferences (e.g., Asilomar 2023), and supervision of graduate researchers. Current projects involve multi-sensor systems for network localization, ultrasound imaging with limited transceivers, and robust graph neural architectures.