Dr Oktay Karakus
Lecturer (Assistant Professor)
Cardiff University
School of Computer Science and Informatics
2.21, Abacws, Senghennydd Road,
Cathays, Cardiff, CF24 4AG
karakuso*at*cardiff.ac.uk
About
I am a Lecturer (analogous to Assistant Professor) in the School of Computer Science and Informatics at Cardiff University. I received my B.Sc. degree in electronics engineering (with Honours) from Istanbul Kültür University, Turkey in 2009. Then, I received my M.Sc. and Ph.D. degrees in electronics and communication engineering from the İzmir Institute of Technology (IZTECH), Turkey, in 2012 and 2018, respectively. Before joining Cardiff University, between 2018 and 2021, I was with the Department of Electrical & Electronic Engineering at the University of Bristol as a Postdoctoral Research Associate. I have been awarded the 2020 IEEE Turkey Ph.D. Thesis Award, and co-authored over 30 scientific publications. I am 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
- AssenSAR Image Simulator Matlab code has been published!
- SAR imaging inverse problems via CPS algorithm Matlab code has been published!
- 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
- 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!
Open Positions
- I currently have three PhD studentships for SELF-FUNDED students. Please have a look at the projects below if you are interested!
- Advancing Non-reversibility in Bayesian Networks for Time Series Prediction
- Beyond Bayesian Machine Learning: Self-Learning Networks from Imaging Uncertainties
- Quantifying Uncertainty in Nonlinear Time Series Modelling: When Trans-dimensional Sampling meets Optimal Transport (Td-OT)
Talks
- Dec 2021: Invited Talk - Cardiff University - Centre of High Frequency Engineering (CHFE) Research Seminars --> Slides
- Oct 2021: Invited Talk - University of Waikato - AI/ML seminars --> Slides, Talk
- May 2021: Invited Talk - Cardiff University - Visual computing research seminars --> Slides
- Apr 2021: EUSAR 2021 --> Slides, Talk
- Mar 2021: Invited Talk - Izmir Democracy University - AIDA Seminars --> Slides (In English), Talk (In Turkish)
- Dec 2020: ASA Meeting 2020 --> Slides, Talk
- July 2020: IGARSS 2020 --> Slides, Talk
- May 2020: ICASSP 2020 --> Slides, Talk
Important Publications
For all my papers, see my google scholar Google Scholar page.2022
2021
- Representation Learning via Cauchy Convolutional Sparse Coding. P. Mayo, O. Karakuş, R. Holmes and A. Achim. IEEE Access. 2021.
[ 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. 2021.
[ PDF] [ BibTeX] [CODE] - Exploiting the Dual-Tree Complex Wavelet Transform for Ship Wake Detection in SAR Imagery W. Ma, A. Achim and O. Karakuş. ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021.
[ PDF] [BibTeX] - 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]
2017 - 2020
- 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] - 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.
[ BibTeX]