About the CoDIS Lab
CoDIS stands for Computational Data and Image Sciences.
CoDIS Lab is the umbrella name, for my research, the areas of which span Statistical Signal/Image Processing, Environmental Remote Sensing, Sports Analytics, Data Science, Bayesian Data Analysis, Inverse problems, and Uncertainty Quantification.
The primary research under the CoDIS Lab consists of three main areas
There is also a secondary research is being conducted in areas of
Codes for published works can be found in CoDIS Lab Github Page.
Talks
- Nov 2023: Invited Talk - BMVC 2023 - MVEO Workshop - Competition 2nd with Wanli Ma
- Feb 2023: Invited Talk - University of Cambridge, Sir Isaac Newton Institute - The Workshop on "RNT in Radar, Astronomy and Geophysics"
- Jan 2023: Invited Talk - The Bristol Vision Institute Seminar Series
- Nov 2022: Invited Talk - Cardiff University - The Workshop on "Nonlinear Equations: From Theory to Applications"
- Jun 2022: Invited Talk - TUBITAK-BILSEM - Artificial Intelligence Awareness Education
- 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.
On Advances, Challenges and Potentials of Remote Sensing Image Analysis in Marine Debris and Suspected Plastics Monitoring. J. O. Karakuş. Frontiers in Remote Sensing. 2023. [ PDF]
A machine learning approach for player and position Adjusted Expected goals in football (Soccer). J. H. Hewitt, and O. Karakuş. Franklin Open. 2023. [ PDF]
Predicting air quality via multimodal AI and satellite imagery. A. Rowley, and O. Karakuş. Remote Sensing of Environment. 2023. [ PDF]
A hybrid particle-stochastic map filter. P. Hao, O. Karakuş, and A. Achim. Signal Processing. 2023. [ PDF]
High-precision density mapping of marine debris and floating plastics via satellite imagery. H. Booths, W. Ma, and O. Karakuş. Scientific Reports (Nature). 2023. [ PDF]
Sentiment analysis for measuring hope and fear from Reddit posts during the 2022 Russo-Ukrainian conflict. A. Guerra, and O. Karakuş. Frontiers in Artificial Intelligence. 2023. [ PDF]
AMM-FuseNet: Attention-Based Multi-Modal Image Fusion Network for Land Cover Mapping. W. Ma, O. Karakuş, and P. L. Rosin. Remote Sensing. 2022. [ PDF]
Cauchy-Rician Model for Backscattering in Urban SAR Images. O. Karakuş, E. E. Kuruoğlu, A. Achim and M. A. Altınkaya. IEEE Geoscience and Remote Sensing Letters. 2022. [ BibTeX]
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. 2022. [ PDF] [ BIBTEX]
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. ISPRS Journal of Photogrammetry and Remote Sensing. 2022. [ 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]
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]