Yves Wiaux

Prof. Yves Wiaux is a Professor at Heriot-Watt University's School of Engineering & Physical Sciences and leads the Biomedical & Astronomical Signal Processing (BASP) group. His research focuses on computational imaging, spanning inverse problems, optimization, and applications in radio astronomy and medical imaging. He holds honorary roles at the University of Edinburgh and EPFL. Wiaux earned his MSc and PhD in Physics from the Université catholique de Louvain (UCL), Belgium, in 1999 and 2002. Before joining Heriot-Watt in 2013, he was a Senior Researcher at EPFL's Signal Processing Laboratories. He was promoted to Professor in 2016.

His research emphasizes algorithms for imaging precision, including R2D2 deep neural networks, SARA, and AIRI for radio interferometry. He has led projects funded by SNF and UKRI, with a focus on high-performance computing and interdisciplinary applications. His work bridges theory (e.g., sparsity, Bayesian sampling) and practice (e.g., MRI, ultrasound).

Notable contributions include scalable imaging frameworks for ASKAP and VLA telescopes, uncertainty quantification via optimization (BUQO), and fast reconstruction methods in medical imaging. He chairs the BASP Frontiers Conference and edits the Royal Astronomy Society Techniques and Instruments journal.