Dr Oktay Karakus
Research Associate
1.23, One Cathedral Square, University of Bristol
Bristol, BS1 5DD, UK
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
News & Activities
- May 2020: ICASSP 2020 Talk
- July 2020: IGARSS 2020 Talk
- December 2020: ASA Meeting 2020 Talk
- Remote Sensing (ISSN 2072-4292) Special Issue on Synthetic Aperture Radar (SAR) Imaging of the Sea Surface: Simulation, Modelling, and Processing
- December 2020: I have been awarded the IEEE Turkey Best PhD Thesis Award this year with my thesis "Generalised Bayesian Model Selection Using Reversible Jump Markov Chain Monte Carlo"
Publications
For all my papers, see both google scholar and university siteRecent papers
- Convergence guarantees for non-convex optimi-sation 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] - A Generalized Gaussian Extension to the Rician Distribution for SAR Image Modeling. O. Karakuş, E. E. Kuruoglu, and A. Achim. arXiv preprint. 2020.
[ PDF] - 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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