Projects per year
Personal profile
Research interests
Sparse representations have been the key underpinning ingredients of statistical learning in signal and image processing. They enable the design of very powerful non-linear algorithms based on statistical assumptions that depart significantly from those of Gaussianity and stationarity. Over time, my group has contributed numerous such algorithms, which offer state-of-the-art performance in the analysis of digital images, multiresolution algorithms, image denoising and fusion, segmentation and classification, and image super-resolution. We have unique expertise in image processing algorithms using sparse distributions in sparse domains and their application to various imaging modalities.
In the current era of ML and AI, I did not give up on my life-long quest for designing better solutions to inverse problems by exploiting the statistical characteristics of the data, but chose instead to adapt my interests to the new trends. Specifically, I have been investigating methods that combine classical model-based approaches with data-driven techniques, while at the same time investing a considerable amount of effort in characterizing theoretically novel penalty functions. These can be used as building blocks for various deep learning architectures, either as loss functions, or directly for the design of new representation learning architectures that exploit the statistical sparsity of the input data while enforcing classical sparsity on the learnt representations.
From an applications perspective, my research focusses primarily on two apparently very different domains but with a surprisingly high number of synergies and linked together via core fundamental research on computational imaging and statistical machine learning. These are Earth Observation, mainly via Synthetic Aperture Radar, and medical and biological imaging.
Keywords
- Statistical Signal Processing
- Inverse Problems
- Earth Observation
- Synthetic Aperture Radar
- Biomedical Image Processing
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Network
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Next Generation Quantitative Acoustic Microscopy For Biomedical Applications (NIH-NIGMS)
20/09/22 → 30/06/26
Project: Research
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SWAPS: University Of Bristol And Toshiba Europe Limited KTP 22_23 R2
1/05/23 → 30/04/26
Project: Research
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AssenSAR - Assessment of Sea Surface Signatures for Naval Platforms Using SAR Imagery
1/01/18 → 31/12/21
Project: Research
Research output
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Current Advances in Computational Lung Ultrasound Imaging: A Review
Yang, T., Karakus, O., Anantrasirichai, N. & Achim, A., 1 Jan 2023, In: IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control. 70, 1, p. 2-15 14 p.Research output: Contribution to journal › Article (Academic Journal) › peer-review
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Modeling and SAR Imaging of the Sea Surface: a Review of the State-of-the-Art with Simulations
Rizaev, I., Karakuş, O., Hogan, S. J. & Achim, A., 10 Feb 2021, (Unpublished) In: arXiv. 22 p.Research output: Contribution to journal › Article (Academic Journal)
File110 Downloads (Pure) -
Convergence Guarantees for Non-Convex Optimisation with Cauchy-Based Penalties
Karakus, O., Mayo Diaz De Leon, P. J. & Achim, A. M., 21 Oct 2020, In: IEEE Transactions on Signal Processing. 68, 1, 15 p.Research output: Contribution to journal › Article (Academic Journal) › peer-review
1 Downloads (Pure)
Datasets
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Cauchy Proximal Splitting (CPS)
Achim, A. (Creator) & Karakus, O. (Creator), University of Bristol, 18 May 2020
DOI: 10.5523/bris.15y437loa26cr2nx8gnn3l4hzi, http://data.bris.ac.uk/data/dataset/15y437loa26cr2nx8gnn3l4hzi
Dataset
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QuantLUS - CPS v1.0
Karakus, O. (Creator) & Achim, A. (Creator), University of Bristol, 9 Jun 2020
DOI: 10.5523/bris.z47pfkwqivfj2d0qhyq7v3u1i, http://data.bris.ac.uk/data/dataset/z47pfkwqivfj2d0qhyq7v3u1i
Dataset
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AssenSAR Wake Detector
Karakus, O. (Creator) & Achim, A. (Creator), University of Bristol, 8 May 2020
DOI: 10.5523/bris.f2q4t5pqlix62sv5ntvq51yjy, http://data.bris.ac.uk/data/dataset/f2q4t5pqlix62sv5ntvq51yjy
Dataset
Prizes
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EUSIPCO Best Student Paper Award
Achim, Alin M (Recipient), 2009
Prize: Prizes, Medals, Awards and Grants
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Activities
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IEEE Transactions on Image Processing (Journal)
Alin M Achim (Editorial board member)
1 Dec 2014 → 30 Nov 2018Activity: Publication peer-review and editorial work types › Editorial activity
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Digital Signal Processing: a Review Journal (Journal)
Alin M Achim (Editorial board member)
2012 → …Activity: Publication peer-review and editorial work types › Editorial activity
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Institute of Electrical and Electronics Engineers (External organisation)
Alin M Achim (Member)
1 Jan 2014 → …Activity: Membership types › Membership or peer review panel or committee