Dr Oktay Karakus
Research Associate in Image Processing
1.23, One Cathedral Square, University of Bristol
Bristol, BS1 5DD, UK
Currently, working from home!
o.karakus*at*bristol.ac.uk
About
I am a Research Associate at the University of Bristol, and a member of the Visual Information Laboratory and the Bristol Vision Institute, which are led by Prof. David Bull. I received my BSc degree in electronics engineering (with Honours) from Istanbul Kültür University, Turkey in 2009. Then, I received my MSc and PhD degrees in electronics and communication engineering from İzmir Institute of Technology (IZTECH), Turkey, in 2012 and 2018, respectively. I am now with the Department of Electrical & Electronic Engineering at the University of Bristol, and currently working in an Engineering and Physical Sciences Research Council (EPSRC) project titled assessment of sea surface signatures for naval platforms using SAR imagery (AssenSAR) which is led by Prof. Alin Achim. I have co-authored over 30 scientific publications, and a member of IEEE and IEEE Signal Processing Society.Personal Interests
Research Interests
- Bayesian Data Analysis
- Statistical Signal/Image Processing
- Markov chain Monte Carlo Methods
- Inverse problems
- Convex/Non-Convex Optimisation
- Remote sensing
- Medical imaging
- Uncertainty Quantification
- Nonlinear Time Series Modelling
Highlights
- NEW! SAR imaging inverse problems via CPS algorithm Matlab code has been published!
- NEW! GG-Rician SAR Image Modelling Matlab code has been published!
- I have been awarded the 2020 IEEE Turkey Best PhD Thesis Award with my thesis "Generalised Bayesian Model Selection Using Reversible Jump Markov Chain Monte Carlo. " Download Thesis
- AssenSAR Project Details
- Ship Wake Detection Matlab code has been published!
- QuantLUS: COVID-19 inspection on lung ultrasound (incl. code)
- Cauchy Proximal Splitting Matlab code has been published!
- Remote Sensing (ISSN 2072-4292) Special Issue on Synthetic Aperture Radar (SAR) Imaging of the Sea Surface: Simulation, Modelling, and Processing
Talks
Publications
For all my papers, see both google scholar and university siteRecent papers
- A Generalized Gaussian Extension to the Rician Distribution for SAR Image Modeling. O. Karakuş, E. E. Kuruoglu, and A. Achim. IEEE Transactions on Geoscience and Remote Sensing. 2021.
[ PDF] [ BibTeX] [CODE] - Current Advances in Computational Lung Ultrasound Imaging: A Review T. Yang, O. Karakuş, N. Anantrasirichai, A. Achim. arXiv preprint. 2021.
[ PDF] - Modeling and SAR Imaging of the Sea Surface: a Review of the State-of-the-Art with Simulations I. Rizaev, O. Karakuş, S. J. Hogan, A. Achim. arXiv preprint. 2021.
[ PDF] - Convergence guarantees for non-convex optimisation with Cauchy-based penalties. O. Karakuş, P. Mayo, and A. Achim. IEEE Transactions on Signal Processing. 2020.
[ PDF] [ BibTeX] [CODE] - Detection of Line Artefacts in Lung Ultrasound Images of COVID-19 Patients via Non-Convex Regularization. O. Karakuş, N. Anantrasirichai, A. Aguersif, S. Silva, A. Basarab and A Achim. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control. 2020.
[ PDF] [ BibTeX] [CODE] - On Solving SAR Imaging Inverse Problems Using Non-Convex Regularisation with a Cauchy-based Penalty. O. Karakuş, and A. Achim. IEEE Transactions on Geoscience and Remote Sensing. 2020.
[ PDF] [ BibTeX] [CODE] - Representation Learning via Cauchy Convolutional Sparse Coding. P. Mayo, O. Karakuş, R. Holmes, and A. Achim. arXiv preprint. 2020.
[ PDF] - Ship Wake Detection in SAR Images via Sparse Regularization. O. Karakuş, I. Rizaev, and A. Achim. IEEE Transactions on Geoscience and Remote Sensing. 2020.
[ PDF] [ BibTeX] [CODE] - Generalized Bayesian Model Selection for Speckle on Remote Sensing Images. O. Karakuş, E. E. Kuruoglu, and M. A. Altinkaya. IEEE Transactions on Image Processing. 2019.
[ BibTeX] - Beyond trans-dimensional RJMCMC with a case study in impulsive data modeling. O. Karakuş, E. E. Kuruoglu, and M. A. Altinkaya. Signal Processing (Elsevier). 2018.
[ BibTeX] - One-day ahead wind speed/power prediction based on polynomial autoregressive model. O. Karakuş, E. E. Kuruoglu, and M. A. Altinkaya. IET Renewable Power Generation. 2017.
[ BibTeX] - Bayesian Volterra system identification using reversible jump MCMC algorithm. O. Karakuş, E. E. Kuruoglu, and M. A. Altinkaya. Signal Processing (Elsevier). 2017.
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