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Alin Achim is a Professor of Computational Imaging at the University of Bristol, with a background in B.Sc. and M.Sc. from Bucharest and a Ph.D. from Patras. His expertise lies in Statistical Signal Processing, Inverse Problems, Earth Observation, Synthetic Aperture Radar, and Biomedical Image Processing. Throughout his career, Professor Achim has contributed numerous algorithms that offer state-of-the-art performance for the analysis of digital images using multiresolution algorithms, image denoising, fusion, segmentation, classification, and image super-resolution. He specializes in designing effective non-linear algorithms that leverage statistical learning assumptions, moving away from conventional Gaussianity and stationarity. His current research interests include the integration of classical model-based approaches with data-driven techniques in machine learning, exploring new penalty functions, and developing loss functions for deep learning architectures that exploit statistical sparsity. He primarily focuses on applications in Earth Observation utilizing Synthetic Aperture Radar and advances in medical and biological imaging.
University Of Bristol And Toshiba Europe Limited •
Leading a Knowledge Transfer Partnership project in Computational Synthetic Aperture Radar Imaging and Model-Based Machine Learning.
Department of Physics research themes include Astrophysics, Materials and Devices, Particle Physics, and Quantum and Soft Matter.