Regular biography
Pascal Frossard is a Full Professor in the Department of Computer Science at École Polytechnique Fédérale de Lausanne. His research interests include signal processing, machine learning, and data science. He is affiliated with the Signal Processing Laboratory 4 and holds various administrative roles at EPFL, including Academic co-director of the AI Center and Academic Director of SNAI. He is also a member of the CHC Steering Committee. Frossard has received several awards, including the SNSF Professorship and the IBM Faculty Award.
Scholar-generated biography
Pascal Frossard is a researcher at Ecole Polytechnique Fédérale de Lausanne (EPFL) specializing in machine learning, image processing, computer vision, and multimedia communications. His work explores advanced techniques for deep neural networks, adversarial robustness, and signal processing on graphs. Frossard's research includes developing methods to fool deep networks, analyzing classifier robustness, and applying graph signal processing to machine learning. He has also contributed to dictionary learning, graph-based compression, and adaptive data augmentation for image classification. His publications highlight the intersection of signal processing, machine learning, and multimedia systems, with a focus on improving the reliability and efficiency of data analysis in complex and irregular domains.