Alin Achim

Alin Achim is a Professor of Computational Imaging at the School of Computer Science, University of Bristol, with a focus on statistical signal processing and inverse problems. His research bridges model-based and data-driven approaches in machine learning, particularly for computational imaging applications.

• Education: B.Sc. and M.Sc. from the University of Bucharest, Ph.D. from the University of Patras.

His work emphasizes sparse representations in signal/image processing, enabling non-linear algorithms for image denoising, fusion, segmentation, super-resolution, and novel penalty functions for deep learning architectures. Applications span Synthetic Aperture Radar (SAR) imaging for Earth Observation and biomedical imaging (e.g., lung ultrasound, OCT).

Recent publications highlight trends in computational medical imaging (2023), SAR for ocean surface modeling (2022), and non-convex optimization methods (2020). His research integrates statistical sparsity with classical sparsity constraints.

• Scientific Awards:
  • EUSIPCO Best Student Paper Award (2009)
  • Senior Member IEEE (2009)

He has supervised multiple students and leads active projects like Next Generation Quantitative Acoustic Microscopy (NIH-funded) and AssenSAR for naval SAR applications. He contributes to open-access datasets (e.g., OCT2Confocal, 3D OCT Images of Murine Uveitis) and serves on editorial boards for journals like IEEE Transactions on Image Processing.