Dr Oktay Karakus
(he/him)
- Available for postgraduate supervision
Teams and roles for Oktay Karakus
Lecturer
Deputy Director
Group Leader, Remote Sensing Image and Data Analysis (ReSIDA)
Lecturer
Computer Science And Informatics
Overview
I am a Lecturer (Assistant Professor) whose research focuses on statistical and machine learning methods for analysing complex imaging, sensor, and environmental data, with particular interests in uncertainty-aware modelling, multimodal data fusion, and remote sensing. For more details, please visit my personal or Google scholar pages.
Publication
2026
- Yang, T. et al., 2026. CPSNet: Physics-inspired label-free deep unfolding for lung ultrasound B-line detection. Digital Signal Processing 184 (A) 106399. (10.1016/j.dsp.2026.106399)
- Şahin, M. F. , Eyüpoğlu, C. and Karakuş, O. 2026. A fixed-ratio hybrid ARO-ALO algorithm for multi-level thresholding of histopathological colon cancer images. Cancers 18 (16) 2656. (10.3390/cancers18162656)
- Kara, B. C. , Eyupoglu, C. and Karakuş, O. 2026. A New Multidimensional Data Anonymization Algorithm for Privacy-Preserving Data Publishing. Electronics 15 (14) 3167. (10.3390/electronics15143167)
- Ahmad, A. , Karakuş, O. and Rosin, P. L. 2026. Sequential feature selection for efficient landslide segmentation from multi-spectral data. Frontiers in Remote Sensing 7 1877713. (10.3389/frsen.2026.1877713)
- Ma, W. , Karakus, O. and Rosin, P. L. 2026. Integrating semi-supervised and active learning for semantic segmentation. Science of Remote Sensing 13 100427. (10.1016/j.srs.2026.100427)
- Eyupoglu, S. et al., 2026. Natural dyeing of bio-mordanted cellulosic okra fiber and machine learning–based prediction of dyeing characteristics. Journal of Natural Fibers 23 (1) 2687604. (10.1080/15440478.2026.2687604)
- Karakuş, O. and Corcoran, P. 2026. A multi-modal spatial risk framework for EV charging infrastructure using remote sensing. Presented at: International Workshops of ECML PKDD 2025 Porto, Portugal 15–19 September 2025. Published in: Koprinska, I. , Mendes-Moreira, J. and Branco, P. eds. Machine Learning and Principles and Practice of Knowledge Discovery in Databases. 249 Cham: Springer. , pp.249-259. (10.1007/978-3-032-19108-3_17)
- Khidirova, E. and Karakus, O. 2026. UniCrop: A universal, multi-source data engineering pipeline for scalable crop yield prediction. Applied Sciences 16 (10) 4724. (10.3390/app16104724)
- Zhou, H. et al., 2026. An oversampling method for addressing imbalanced data utilizing K-means clustering and membership-based data partitioning. Engineering Applications of Artificial Intelligence 167 113799. (10.1016/j.engappai.2026.113799)
- Nogueira, K. et al., 2026. Core-set selection for data-efficient land cover segmentation. IEEE Access 14 , pp.19891-19903. (10.1109/access.2026.3659734)
- Karakuş, O. and Arkadaş, H. 2026. Through the gaps: uncovering tactical line-breaking passes with clustering. Presented at: 12th International Workshop, MLSA 2025 Porto, Portugal 15 September 2025. Published in: Rios-Neto, H. et al., Machine Learning and Data Mining for Sports Analytics. Vol. 2833.Communications in Computer and Information Science Cham: Springer. , pp.86-96. (10.1007/978-3-032-15165-0_7)
- Awais, C. M. et al., 2026. A classification-aware super-resolution framework for ship targets in SAR imagery. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 19 , pp.6614-6622. (10.1109/jstars.2026.3655550)
- Weng, J. , Karakuş, O. and Li, Y. 2026. Continual generalized category discovery via enhancing representation learning. Presented at: UKAIRS 2026 Edinburgh, Scotland, UK 24-25 November 2026.
2025
- Binlajdam, R. et al. 2025. Review on sustainable forestry with artificial intelligence. ACM Journal on Computing and Sustainable Societies 3 (4) 35. (10.1145/3759259)
- Munian, S. et al. 2025. TopoFormer: Integrating transformers and ConvLSTMS for coastal topography prediction. Presented at: IGARSS 2025 - 2025 IEEE International Geoscience and Remote Sensing Symposium Brisbane, Australia 03-08 August 2025. IGARSS 2025 - 2025 IEEE International Geoscience and Remote Sensing Symposium. IEEE. , pp.6989-6993. (10.1109/IGARSS55030.2025.11313955)
- Awais, C. M. et al., 2025. Feature-space oversampling for addressing class imbalance in SAR ship classification. Presented at: IGARSS 2025 Brisbane, Australia 03-08 August 2025. IGARSS 2025 - 2025 IEEE International Geoscience and Remote Sensing Symposium. IEEE. , pp.2010-2014. (10.1109/igarss55030.2025.11242334)
- Ma, W. , Karakuş, O. and Rosin, P. L. 2025. Patch-GAN transfer learning with reconstructive models for cloud removal. Presented at: 2025 IEEE International Geoscience and Remote Sensing Symposium Brisbane, Australia 3-8 August 2025. Proceedings of the International Geoscience and Remote Sensing Symposium. IEEE. , pp.6275-6279. (10.1109/igarss55030.2025.11243736)
- Sajjadi Mohammadabadi, S. M. et al., 2025. A survey of large language models: evolution, architectures, adaptation, benchmarking, applications, challenges, and societal implications. Electronics 14 (18) 3580. (10.3390/electronics14183580)
- Thomas, A. et al., 2025. Correlating diurnal variations in peak athleticism with buccal gene expression in youth football players. International Journal of Performance Analysis in Sport (10.1080/24748668.2025.2530293)
- Guerra, A. , Lepre, M. and Karakus, O. 2025. Quantifying extreme opinions on Reddit amidst the 2023 Israeli-Palestinian conflict. Natural Language Processing Journal 11 100156. (10.1016/j.nlp.2025.100156)
- Hao, P. , Karakuş, O. and Achim, A. 2025. RKFNet: A novel neural network aided robust Kalman filter. Signal Processing 230 109856. (10.1016/j.sigpro.2024.109856)
- Ma, W. , Karakus, O. and Rosin, P. L. 2025. DiverseNet: Decision diversified semi-supervised semantic segmentation networks for remote sensing imagery. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 18 , pp.14258-14271. (10.1109/jstars.2025.3574229)
- Yewle, A. D. , Mirzayeva, L. and Karakuş, O. 2025. Multi-modal data fusion and deep ensemble learning for accurate crop yield prediction. Remote Sensing Applications: Society and Environment 38 101613. (10.1016/j.rsase.2025.101613)
- Kara, B. C. , Eyupoglu, C. and Karakus, O. 2025. (r, k, ε)-anonymization: Privacy-preserving data publishing algorithm based on multi-dimensional outlier detection, k-anonymity, and ε-differential privacy. IEEE Access 13 , pp.70422-70435. (10.1109/access.2025.3559410)
- Ma, Z. et al. 2025. The impact of training data on MRS metabolite quantification with deep learning. Presented at: ISMRM & ISMRT Annual Meeting & Exhibition 2025 Honolulu, Hawaii, USA 10-15 May 2025.
2024
- Hao, P. , Karakus, O. and Achim, A. 2024. Robust Kalman filters based on the sub-Gaussian a-stable distribution. Signal Processing 224 109574. (10.1016/j.sigpro.2024.109574)
- Eyupoglu, S. et al., 2024. Investigation of dyeing characteristics of merino wool fiber dyed with sustainable natural dye extracted from Aesculus hippocastanum. Sustainability 16 (22) 10129. (10.3390/su162210129)
- Cook, A. and Karakuş, O. 2024. LLM-Commentator: Novel fine-tuning strategies of large language models for automatic commentary generation using football event data. Knowledge-Based Systems 300 112219. (10.1016/j.knosys.2024.112219)
- Balaji, S. and Karakus, O. 2024. Unsupervised structural damage assessment from space using the segment anything model (USDA-SAM): A case Study of the 2023 Turkiye earthquake. Presented at: International Geoscience and Remote Sensing Symposium Athens, Greece 7-12 July 2024. IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium. IEEE. , pp.585-589. (10.1109/IGARSS53475.2024.10640396)
- Yang, T. et al., 2024. Dubline: a deep unfolding network for B-line detection in lung ultrasound images. Presented at: IEEE International Symposium on Biomedical Imaging (ISBI) Athens, Greece 27-30 May 2024. 2024 IEEE International Symposium on Biomedical Imaging (ISBI). IEEE. , pp.1-4. (10.1109/ISBI56570.2024.10635643)
- Scholtes, A. and Karakuş, O. 2024. Bayes-xG: player and position correction on expected goals (xG) using Bayesian hierarchical approach. Frontiers in Sports and Active Living 6 1348983. (10.3389/fspor.2024.1348983)
- Eyupoglu, C. and Karakuş, O. 2024. Novel CAD diagnosis method based on search, PCA, and AdaBoostM1 techniques. Journal of Clinical Medicine 13 (10) 2868. (10.3390/jcm13102868)
2023
- Duman, A. et al. 2023. RFS+: A clinically adaptable and computationally efficient strategy for enhanced brain tumor segmentation. Cancers 15 (23) 5620. (10.3390/cancers15235620)
- Karakuş, O. 2023. On advances, challenges and potentials of remote sensing image analysis in marine debris and suspected plastics monitoring. Frontiers in Remote Sensing 4 1302384. (10.3389/frsen.2023.1302384)
- Hewitt, J. H. and Karakus, O. 2023. A machine learning approach for player and position adjusted expected goals in football (soccer). Franklin Open 4 100034. (10.1016/j.fraope.2023.100034)
- Hao, P. , Karakus, O. and Achim, A. 2023. A hybrid particle-stochastic map filter. Signal Processing 207 108969. (10.1016/j.sigpro.2023.108969)
- Rowley, A. and Karakus, O. 2023. Predicting air quality via multimodal AI and satellite imagery. Remote Sensing of Environment 293 113609. (10.1016/j.rse.2023.113609)
- Booth, H. , Ma, W. and Karakuş, O. 2023. High-precision density mapping of marine debris and floating plastics via satellite imagery. Scientific Reports 13 6822. (10.1038/s41598-023-33612-2)
- Guerra, A. and Karakuş, O. 2023. Sentiment analysis for measuring hope and fear from Reddit posts during the 2022 Russo-Ukrainian conflict. Frontiers in Artificial Intelligence 6 1163577. (10.3389/frai.2023.1163577)
- Yang, T. et al., 2023. Current advances in computational lung ultrasound imaging: a review. IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control 70 (1), pp.2-15. (10.1109/TUFFC.2022.3221682)
2022
- Ma, W. , Karakuş, O. and Rosin, P. L. 2022. AMM-FuseNet: attention-based multi-modal image fusion network for land cover mapping. Remote Sensing 14 (18) 4458. (10.3390/rs14184458)
- Rizaev, I. et al., 2022. Modeling and SAR imaging of the sea surface: A review of the state-of-the-art with simulations. ISPRS Journal of Photogrammetry and Remote Sensing 187 , pp.120-140. (10.1016/j.isprsjprs.2022.02.017)
- Karakus, O. , Kuruoglu, E. E. and Achim, A. 2022. A generalized Gaussian extension to the Rician distribution for SAR image modeling. IEEE Transactions on Geoscience and Remote Sensing 60 5205615. (10.1109/TGRS.2021.3069091)
- Karakus, O. et al. 2022. Cauchy-Rician model for backscattering in urban SAR images. IEEE Geoscience and Remote Sensing Letters 19 4504905. (10.1109/LGRS.2022.3146370)
2021
- Karakus, O. and Achim, A. 2021. On solving SAR imaging inverse problems using nonconvex regularization with a cauchy-based penalty. IEEE Transactions on Geoscience and Remote Sensing 59 (7), pp.5828-5840. (10.1109/tgrs.2020.3011631)
- Mayo, P. et al., 2021. Representation learning via Cauchy Convolutional Sparse Coding. IEEE Access 9 , pp.100447-100459. (10.1109/ACCESS.2021.3096643)
- Karakus, O. , Kuruoglu, E. and Achim, A. 2021. A modification of Rician distribution for SAR image modelling. Presented at: 13th European Conference on Synthetic Aperture Radar (EUSAR 2021) Virtual 29 March - 01 April 2021. EUSAR 2021; 13th European Conference on Synthetic Aperture Radar. Vol. 2021-M., pp.587-592.
- Ma, W. , Achim, A. and Karakus, O. 2021. Exploiting the dual-tree complex wavelet transform for ship wake detection in SAR imagery. Presented at: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2021) Toronto, ON, Canada 6-11 June 2021. ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE. , pp.1530-1534. (10.1109/ICASSP39728.2021.9414898)
2020
- Karakus, O. et al. 2020. A non-convex regularization based line artefact quantification method in lung ultrasound imagery for pulmonary disease evaluation. The Journal of the Acoustical Society of America 148 (4), pp.2735-2735. (10.1121/1.5147598)
- Karakus, O. et al. 2020. Detection of line artifacts in lung ultrasound images of COVID-19 patients via nonconvex regularization. IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control 67 (11), pp.2218-2229. (10.1109/tuffc.2020.3016092)
- Karakus, O. et al. 2020. Convergence guarantees for non-convex optimisation with Cauchy-based penalties. IEEE Transactions on Signal Processing 68 , pp.6159-6170. (10.1109/TSP.2020.3032231)
- Yang, T. , Karakus, O. and Achim, A. 2020. Detection of ship wakes in sar imagery using cauchy regularisation. Presented at: 27th IEEE International Conference on Image Processing (ICIP 2020) United Arab Emirates 25-28 October 2020. 2020 IEEE International Conference on Image Processing (ICIP). IEEE. , pp.3473-3477. (10.1109/icip40778.2020.9190920)
- Karakus, O. , Rizaev, I. and Achim, A. 2020. A simulation study to evaluate the performance of the cauchy proximal operator in despeckling SAR images of the sea surface. Presented at: 2020 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) Waikoloa, HI, USA 26 September - 02 October 2020. IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium. IEEE. , pp.1568-1571. (10.1109/IGARSS39084.2020.9323696)
- Karakus, O. and Achim, A. 2020. QuantLUS - CPS v1.0. Bristol: University of Bristol(10.5523/BRIS.Z47PFKWQIVFJ2D0QHYQ7V3U1I)
- Achim, A. and Karakus, O. 2020. Cauchy proximal splitting (CPS). Bristol: University of Bristol(10.5523/BRIS.15Y437LOA26CR2NX8GNN3L4HZI)
- Karakus, O. , Kuruoglu, E. E. and Achim, A. 2020. Modelling sea clutter in sar images using Laplace-Rician distribution. Presented at: 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) Barcelona, Spain 04-08 May 2020. ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Vol. 2020-M.IEEE. , pp.1454-1458. (10.1109/ICASSP40776.2020.9053289)
- Karakus, O. and Achim, A. 2020. AssenSAR wake detector. Bristol: University of Bristol(10.5523/BRIS.F2Q4T5PQLIX62SV5NTVQ51YJY)
2017
- Karakus, O. , Kuruglu, E. E. and Altinkaya, M. A. 2017. Bayesian Volterra system identification using reversible jump MCMC algorithm. Signal Processing 141 , pp.125-136. (10.1016/j.sigpro.2017.05.031)
- Karakus, O. , Kuruoglu, E. and Altinkaya, M. 2017. Nonlinear model selection for PARMA processes using RJMCMC. Presented at: EUSIPCO 2017: 25th European Signal Processing Conference (EUSIPCO) 28 August-2 September 2017. 2017 25th European Signal Processing Conference (EUSIPCO). IEEE. , pp.2056-2060. (10.23919/EUSIPCO.2017.8081571)
- Karakus, O. , Kuruoğlu, E. E. and Altınkaya, M. A. 2017. One-day ahead wind speed/power prediction based on polynomial autoregressive model. IET Renewable Power Generation 11 (11), pp.1430-1439. (10.1049/iet-rpg.2016.0972)
2016
- Karakus, O. , Kuruoglu, E. E. and Altinkaya, M. A. 2016. Bayesian estimation of polynomial moving average models with unknown degree of nonlinearity. Presented at: 24th European Signal Processing Conference (EUSIPCO) Budapest, Hungary 29 Aug-2 Sept 2016. 24th European Signal Processing Conference (EUSIPCO). , pp.1543-1547. (10.1109/EUSIPCO.2016.7760507)
2015
- Karakus, O. , Kuruoglu, E. E. and Altinkaya, M. A. 2015. Estimation of the nonlinearity degree for polynomial autoregressive processes with RJMCMC. Presented at: 2015 European Signal Processing Conference (EUSIPCO 2015) 31 August-4 September 2015. 2015 23rd European Signal Processing Conference (EUSIPCO). IEEE. , pp.958-962. (10.1109/eusipco.2015.7362524)
- Karakus, O. , Kuruoglu, E. E. and Altinkaya, M. A. 2015. Long term wind speed prediction with polynomial autoregressive model. Presented at: 23nd Signal Processing and Communications Applications Conference (SIU) Malatya, Turkey 16-19 May 2015. 23nd Signal Processing and Communications Applications Conference. IEEE. , pp.645-648. (10.1109/SIU.2015.7129907)
2014
- Ozbek, N. , Ertan, G. and Karakus, O. 2014. Perceptual quality evaluation of asymmetric stereo video coding for efficient 3D rate scaling. Turkish Journal of Electrical Engineering and Computer Sciences 2014 (22), pp.663-678. (10.3906/elk-1209-53)
2013
- Karakus, O. , Altinkaya, M. A. and Kilicaslan, K. 2013. The effect of convolutional encoder memory on the sphere decoding search radius in MIMO systems. Presented at: 21st Signal Processing and Communications Applications Conference (SIU) 24-26 April 2013. 2013 21st Signal Processing and Communications Applications Conference (SIU). IEEE(10.1109/siu.2013.6531238)
- Karakus, O. 2013. The performance comparison of European DTTV standards with LDPC-encoded-DVB-T standard under AWGN channel. Presented at: International Computer Symposium ICS 2012 12-14 December 2012. Published in: Chang, R. , Jain, L. C. and Peng, S. eds. Advances in Intelligent Systems and Applications - Volume 1: Proceedings of the International Computer Symposium ICS 2012 Held at Hualien, Taiwan, December 12–14, 2012. Smart Innovation, Systems and Technologies , pp.683-691. (10.1007/978-3-642-35452-6_69)
2012
- Karakus, O. and Ozen, S. 2012. European terrestrial digital television standards performance comparison under AWGN channel. Presented at: 20th Signal Processing and Communications Applications Conference (SIU) Mugla, Turkey 18-20 April 2012. 20th Signal Processing and Communications Applications Conference. IEEE. , pp.1-4. (10.1109/SIU.2012.6204570)
2011
- Ozbek, N. , Ertan, G. and Karakus, O. 2011. Interactive quality assessment for asymmetric coding of 3D video. Presented at: 2011 3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON 2011) 16-18 May 2011. 2011 3DTV Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON). IEEE(10.1109/3DTV.2011.5877199)
Articles
- Yang, T. et al., 2026. CPSNet: Physics-inspired label-free deep unfolding for lung ultrasound B-line detection. Digital Signal Processing 184 (A) 106399. (10.1016/j.dsp.2026.106399)
- Şahin, M. F. , Eyüpoğlu, C. and Karakuş, O. 2026. A fixed-ratio hybrid ARO-ALO algorithm for multi-level thresholding of histopathological colon cancer images. Cancers 18 (16) 2656. (10.3390/cancers18162656)
- Kara, B. C. , Eyupoglu, C. and Karakuş, O. 2026. A New Multidimensional Data Anonymization Algorithm for Privacy-Preserving Data Publishing. Electronics 15 (14) 3167. (10.3390/electronics15143167)
- Ahmad, A. , Karakuş, O. and Rosin, P. L. 2026. Sequential feature selection for efficient landslide segmentation from multi-spectral data. Frontiers in Remote Sensing 7 1877713. (10.3389/frsen.2026.1877713)
- Ma, W. , Karakus, O. and Rosin, P. L. 2026. Integrating semi-supervised and active learning for semantic segmentation. Science of Remote Sensing 13 100427. (10.1016/j.srs.2026.100427)
- Eyupoglu, S. et al., 2026. Natural dyeing of bio-mordanted cellulosic okra fiber and machine learning–based prediction of dyeing characteristics. Journal of Natural Fibers 23 (1) 2687604. (10.1080/15440478.2026.2687604)
- Khidirova, E. and Karakus, O. 2026. UniCrop: A universal, multi-source data engineering pipeline for scalable crop yield prediction. Applied Sciences 16 (10) 4724. (10.3390/app16104724)
- Zhou, H. et al., 2026. An oversampling method for addressing imbalanced data utilizing K-means clustering and membership-based data partitioning. Engineering Applications of Artificial Intelligence 167 113799. (10.1016/j.engappai.2026.113799)
- Nogueira, K. et al., 2026. Core-set selection for data-efficient land cover segmentation. IEEE Access 14 , pp.19891-19903. (10.1109/access.2026.3659734)
- Awais, C. M. et al., 2026. A classification-aware super-resolution framework for ship targets in SAR imagery. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 19 , pp.6614-6622. (10.1109/jstars.2026.3655550)
- Binlajdam, R. et al. 2025. Review on sustainable forestry with artificial intelligence. ACM Journal on Computing and Sustainable Societies 3 (4) 35. (10.1145/3759259)
- Sajjadi Mohammadabadi, S. M. et al., 2025. A survey of large language models: evolution, architectures, adaptation, benchmarking, applications, challenges, and societal implications. Electronics 14 (18) 3580. (10.3390/electronics14183580)
- Thomas, A. et al., 2025. Correlating diurnal variations in peak athleticism with buccal gene expression in youth football players. International Journal of Performance Analysis in Sport (10.1080/24748668.2025.2530293)
- Guerra, A. , Lepre, M. and Karakus, O. 2025. Quantifying extreme opinions on Reddit amidst the 2023 Israeli-Palestinian conflict. Natural Language Processing Journal 11 100156. (10.1016/j.nlp.2025.100156)
- Hao, P. , Karakuş, O. and Achim, A. 2025. RKFNet: A novel neural network aided robust Kalman filter. Signal Processing 230 109856. (10.1016/j.sigpro.2024.109856)
- Ma, W. , Karakus, O. and Rosin, P. L. 2025. DiverseNet: Decision diversified semi-supervised semantic segmentation networks for remote sensing imagery. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 18 , pp.14258-14271. (10.1109/jstars.2025.3574229)
- Yewle, A. D. , Mirzayeva, L. and Karakuş, O. 2025. Multi-modal data fusion and deep ensemble learning for accurate crop yield prediction. Remote Sensing Applications: Society and Environment 38 101613. (10.1016/j.rsase.2025.101613)
- Kara, B. C. , Eyupoglu, C. and Karakus, O. 2025. (r, k, ε)-anonymization: Privacy-preserving data publishing algorithm based on multi-dimensional outlier detection, k-anonymity, and ε-differential privacy. IEEE Access 13 , pp.70422-70435. (10.1109/access.2025.3559410)
- Hao, P. , Karakus, O. and Achim, A. 2024. Robust Kalman filters based on the sub-Gaussian a-stable distribution. Signal Processing 224 109574. (10.1016/j.sigpro.2024.109574)
- Eyupoglu, S. et al., 2024. Investigation of dyeing characteristics of merino wool fiber dyed with sustainable natural dye extracted from Aesculus hippocastanum. Sustainability 16 (22) 10129. (10.3390/su162210129)
- Cook, A. and Karakuş, O. 2024. LLM-Commentator: Novel fine-tuning strategies of large language models for automatic commentary generation using football event data. Knowledge-Based Systems 300 112219. (10.1016/j.knosys.2024.112219)
- Scholtes, A. and Karakuş, O. 2024. Bayes-xG: player and position correction on expected goals (xG) using Bayesian hierarchical approach. Frontiers in Sports and Active Living 6 1348983. (10.3389/fspor.2024.1348983)
- Eyupoglu, C. and Karakuş, O. 2024. Novel CAD diagnosis method based on search, PCA, and AdaBoostM1 techniques. Journal of Clinical Medicine 13 (10) 2868. (10.3390/jcm13102868)
- Duman, A. et al. 2023. RFS+: A clinically adaptable and computationally efficient strategy for enhanced brain tumor segmentation. Cancers 15 (23) 5620. (10.3390/cancers15235620)
- Karakuş, O. 2023. On advances, challenges and potentials of remote sensing image analysis in marine debris and suspected plastics monitoring. Frontiers in Remote Sensing 4 1302384. (10.3389/frsen.2023.1302384)
- Hewitt, J. H. and Karakus, O. 2023. A machine learning approach for player and position adjusted expected goals in football (soccer). Franklin Open 4 100034. (10.1016/j.fraope.2023.100034)
- Hao, P. , Karakus, O. and Achim, A. 2023. A hybrid particle-stochastic map filter. Signal Processing 207 108969. (10.1016/j.sigpro.2023.108969)
- Rowley, A. and Karakus, O. 2023. Predicting air quality via multimodal AI and satellite imagery. Remote Sensing of Environment 293 113609. (10.1016/j.rse.2023.113609)
- Booth, H. , Ma, W. and Karakuş, O. 2023. High-precision density mapping of marine debris and floating plastics via satellite imagery. Scientific Reports 13 6822. (10.1038/s41598-023-33612-2)
- Guerra, A. and Karakuş, O. 2023. Sentiment analysis for measuring hope and fear from Reddit posts during the 2022 Russo-Ukrainian conflict. Frontiers in Artificial Intelligence 6 1163577. (10.3389/frai.2023.1163577)
- Yang, T. et al., 2023. Current advances in computational lung ultrasound imaging: a review. IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control 70 (1), pp.2-15. (10.1109/TUFFC.2022.3221682)
- Ma, W. , Karakuş, O. and Rosin, P. L. 2022. AMM-FuseNet: attention-based multi-modal image fusion network for land cover mapping. Remote Sensing 14 (18) 4458. (10.3390/rs14184458)
- Rizaev, I. et al., 2022. Modeling and SAR imaging of the sea surface: A review of the state-of-the-art with simulations. ISPRS Journal of Photogrammetry and Remote Sensing 187 , pp.120-140. (10.1016/j.isprsjprs.2022.02.017)
- Karakus, O. , Kuruoglu, E. E. and Achim, A. 2022. A generalized Gaussian extension to the Rician distribution for SAR image modeling. IEEE Transactions on Geoscience and Remote Sensing 60 5205615. (10.1109/TGRS.2021.3069091)
- Karakus, O. et al. 2022. Cauchy-Rician model for backscattering in urban SAR images. IEEE Geoscience and Remote Sensing Letters 19 4504905. (10.1109/LGRS.2022.3146370)
- Karakus, O. and Achim, A. 2021. On solving SAR imaging inverse problems using nonconvex regularization with a cauchy-based penalty. IEEE Transactions on Geoscience and Remote Sensing 59 (7), pp.5828-5840. (10.1109/tgrs.2020.3011631)
- Mayo, P. et al., 2021. Representation learning via Cauchy Convolutional Sparse Coding. IEEE Access 9 , pp.100447-100459. (10.1109/ACCESS.2021.3096643)
- Karakus, O. et al. 2020. A non-convex regularization based line artefact quantification method in lung ultrasound imagery for pulmonary disease evaluation. The Journal of the Acoustical Society of America 148 (4), pp.2735-2735. (10.1121/1.5147598)
- Karakus, O. et al. 2020. Detection of line artifacts in lung ultrasound images of COVID-19 patients via nonconvex regularization. IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control 67 (11), pp.2218-2229. (10.1109/tuffc.2020.3016092)
- Karakus, O. et al. 2020. Convergence guarantees for non-convex optimisation with Cauchy-based penalties. IEEE Transactions on Signal Processing 68 , pp.6159-6170. (10.1109/TSP.2020.3032231)
- Karakus, O. , Kuruglu, E. E. and Altinkaya, M. A. 2017. Bayesian Volterra system identification using reversible jump MCMC algorithm. Signal Processing 141 , pp.125-136. (10.1016/j.sigpro.2017.05.031)
- Karakus, O. , Kuruoğlu, E. E. and Altınkaya, M. A. 2017. One-day ahead wind speed/power prediction based on polynomial autoregressive model. IET Renewable Power Generation 11 (11), pp.1430-1439. (10.1049/iet-rpg.2016.0972)
- Ozbek, N. , Ertan, G. and Karakus, O. 2014. Perceptual quality evaluation of asymmetric stereo video coding for efficient 3D rate scaling. Turkish Journal of Electrical Engineering and Computer Sciences 2014 (22), pp.663-678. (10.3906/elk-1209-53)
Conferences
- Karakuş, O. and Corcoran, P. 2026. A multi-modal spatial risk framework for EV charging infrastructure using remote sensing. Presented at: International Workshops of ECML PKDD 2025 Porto, Portugal 15–19 September 2025. Published in: Koprinska, I. , Mendes-Moreira, J. and Branco, P. eds. Machine Learning and Principles and Practice of Knowledge Discovery in Databases. 249 Cham: Springer. , pp.249-259. (10.1007/978-3-032-19108-3_17)
- Karakuş, O. and Arkadaş, H. 2026. Through the gaps: uncovering tactical line-breaking passes with clustering. Presented at: 12th International Workshop, MLSA 2025 Porto, Portugal 15 September 2025. Published in: Rios-Neto, H. et al., Machine Learning and Data Mining for Sports Analytics. Vol. 2833.Communications in Computer and Information Science Cham: Springer. , pp.86-96. (10.1007/978-3-032-15165-0_7)
- Weng, J. , Karakuş, O. and Li, Y. 2026. Continual generalized category discovery via enhancing representation learning. Presented at: UKAIRS 2026 Edinburgh, Scotland, UK 24-25 November 2026.
- Munian, S. et al. 2025. TopoFormer: Integrating transformers and ConvLSTMS for coastal topography prediction. Presented at: IGARSS 2025 - 2025 IEEE International Geoscience and Remote Sensing Symposium Brisbane, Australia 03-08 August 2025. IGARSS 2025 - 2025 IEEE International Geoscience and Remote Sensing Symposium. IEEE. , pp.6989-6993. (10.1109/IGARSS55030.2025.11313955)
- Awais, C. M. et al., 2025. Feature-space oversampling for addressing class imbalance in SAR ship classification. Presented at: IGARSS 2025 Brisbane, Australia 03-08 August 2025. IGARSS 2025 - 2025 IEEE International Geoscience and Remote Sensing Symposium. IEEE. , pp.2010-2014. (10.1109/igarss55030.2025.11242334)
- Ma, W. , Karakuş, O. and Rosin, P. L. 2025. Patch-GAN transfer learning with reconstructive models for cloud removal. Presented at: 2025 IEEE International Geoscience and Remote Sensing Symposium Brisbane, Australia 3-8 August 2025. Proceedings of the International Geoscience and Remote Sensing Symposium. IEEE. , pp.6275-6279. (10.1109/igarss55030.2025.11243736)
- Ma, Z. et al. 2025. The impact of training data on MRS metabolite quantification with deep learning. Presented at: ISMRM & ISMRT Annual Meeting & Exhibition 2025 Honolulu, Hawaii, USA 10-15 May 2025.
- Balaji, S. and Karakus, O. 2024. Unsupervised structural damage assessment from space using the segment anything model (USDA-SAM): A case Study of the 2023 Turkiye earthquake. Presented at: International Geoscience and Remote Sensing Symposium Athens, Greece 7-12 July 2024. IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium. IEEE. , pp.585-589. (10.1109/IGARSS53475.2024.10640396)
- Yang, T. et al., 2024. Dubline: a deep unfolding network for B-line detection in lung ultrasound images. Presented at: IEEE International Symposium on Biomedical Imaging (ISBI) Athens, Greece 27-30 May 2024. 2024 IEEE International Symposium on Biomedical Imaging (ISBI). IEEE. , pp.1-4. (10.1109/ISBI56570.2024.10635643)
- Karakus, O. , Kuruoglu, E. and Achim, A. 2021. A modification of Rician distribution for SAR image modelling. Presented at: 13th European Conference on Synthetic Aperture Radar (EUSAR 2021) Virtual 29 March - 01 April 2021. EUSAR 2021; 13th European Conference on Synthetic Aperture Radar. Vol. 2021-M., pp.587-592.
- Ma, W. , Achim, A. and Karakus, O. 2021. Exploiting the dual-tree complex wavelet transform for ship wake detection in SAR imagery. Presented at: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2021) Toronto, ON, Canada 6-11 June 2021. ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE. , pp.1530-1534. (10.1109/ICASSP39728.2021.9414898)
- Yang, T. , Karakus, O. and Achim, A. 2020. Detection of ship wakes in sar imagery using cauchy regularisation. Presented at: 27th IEEE International Conference on Image Processing (ICIP 2020) United Arab Emirates 25-28 October 2020. 2020 IEEE International Conference on Image Processing (ICIP). IEEE. , pp.3473-3477. (10.1109/icip40778.2020.9190920)
- Karakus, O. , Rizaev, I. and Achim, A. 2020. A simulation study to evaluate the performance of the cauchy proximal operator in despeckling SAR images of the sea surface. Presented at: 2020 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) Waikoloa, HI, USA 26 September - 02 October 2020. IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium. IEEE. , pp.1568-1571. (10.1109/IGARSS39084.2020.9323696)
- Karakus, O. , Kuruoglu, E. E. and Achim, A. 2020. Modelling sea clutter in sar images using Laplace-Rician distribution. Presented at: 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) Barcelona, Spain 04-08 May 2020. ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Vol. 2020-M.IEEE. , pp.1454-1458. (10.1109/ICASSP40776.2020.9053289)
- Karakus, O. , Kuruoglu, E. and Altinkaya, M. 2017. Nonlinear model selection for PARMA processes using RJMCMC. Presented at: EUSIPCO 2017: 25th European Signal Processing Conference (EUSIPCO) 28 August-2 September 2017. 2017 25th European Signal Processing Conference (EUSIPCO). IEEE. , pp.2056-2060. (10.23919/EUSIPCO.2017.8081571)
- Karakus, O. , Kuruoglu, E. E. and Altinkaya, M. A. 2016. Bayesian estimation of polynomial moving average models with unknown degree of nonlinearity. Presented at: 24th European Signal Processing Conference (EUSIPCO) Budapest, Hungary 29 Aug-2 Sept 2016. 24th European Signal Processing Conference (EUSIPCO). , pp.1543-1547. (10.1109/EUSIPCO.2016.7760507)
- Karakus, O. , Kuruoglu, E. E. and Altinkaya, M. A. 2015. Estimation of the nonlinearity degree for polynomial autoregressive processes with RJMCMC. Presented at: 2015 European Signal Processing Conference (EUSIPCO 2015) 31 August-4 September 2015. 2015 23rd European Signal Processing Conference (EUSIPCO). IEEE. , pp.958-962. (10.1109/eusipco.2015.7362524)
- Karakus, O. , Kuruoglu, E. E. and Altinkaya, M. A. 2015. Long term wind speed prediction with polynomial autoregressive model. Presented at: 23nd Signal Processing and Communications Applications Conference (SIU) Malatya, Turkey 16-19 May 2015. 23nd Signal Processing and Communications Applications Conference. IEEE. , pp.645-648. (10.1109/SIU.2015.7129907)
- Karakus, O. , Altinkaya, M. A. and Kilicaslan, K. 2013. The effect of convolutional encoder memory on the sphere decoding search radius in MIMO systems. Presented at: 21st Signal Processing and Communications Applications Conference (SIU) 24-26 April 2013. 2013 21st Signal Processing and Communications Applications Conference (SIU). IEEE(10.1109/siu.2013.6531238)
- Karakus, O. 2013. The performance comparison of European DTTV standards with LDPC-encoded-DVB-T standard under AWGN channel. Presented at: International Computer Symposium ICS 2012 12-14 December 2012. Published in: Chang, R. , Jain, L. C. and Peng, S. eds. Advances in Intelligent Systems and Applications - Volume 1: Proceedings of the International Computer Symposium ICS 2012 Held at Hualien, Taiwan, December 12–14, 2012. Smart Innovation, Systems and Technologies , pp.683-691. (10.1007/978-3-642-35452-6_69)
- Karakus, O. and Ozen, S. 2012. European terrestrial digital television standards performance comparison under AWGN channel. Presented at: 20th Signal Processing and Communications Applications Conference (SIU) Mugla, Turkey 18-20 April 2012. 20th Signal Processing and Communications Applications Conference. IEEE. , pp.1-4. (10.1109/SIU.2012.6204570)
- Ozbek, N. , Ertan, G. and Karakus, O. 2011. Interactive quality assessment for asymmetric coding of 3D video. Presented at: 2011 3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON 2011) 16-18 May 2011. 2011 3DTV Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON). IEEE(10.1109/3DTV.2011.5877199)
Other
- Karakus, O. and Achim, A. 2020. QuantLUS - CPS v1.0. Bristol: University of Bristol(10.5523/BRIS.Z47PFKWQIVFJ2D0QHYQ7V3U1I)
- Achim, A. and Karakus, O. 2020. Cauchy proximal splitting (CPS). Bristol: University of Bristol(10.5523/BRIS.15Y437LOA26CR2NX8GNN3L4HZI)
- Karakus, O. and Achim, A. 2020. AssenSAR wake detector. Bristol: University of Bristol(10.5523/BRIS.F2Q4T5PQLIX62SV5NTVQ51YJY)
Research
My research lies at the intersection of statistical data science, machine learning, and signal and image processing. I develop data-driven and uncertainty-aware methods for analysing complex sensor, imaging, and environmental data, with particular interests in probabilistic modelling, multimodal data fusion, remote sensing, and geospatial analytics. My work combines statistical inference, machine learning, and computational methods to support decision-making in real-world systems involving heterogeneous, noisy, and spatially structured data.
My research has evolved from a foundation in Bayesian signal and image processing, inverse problems, optimisation, and uncertainty quantification towards broader challenges in data-centric AI and multimodal learning. I have worked extensively on integrating satellite imagery with complementary data sources for applications including air quality modelling, crop yield prediction, environmental monitoring, and large-scale geospatial analysis. More recently, I have developed interests in uncertainty-aware machine learning, probabilistic AI, graph-based modelling, and variational inference for complex sensing and environmental systems.
Prior to joining Cardiff University, I worked in statistical computational imaging at the University of Bristol, where I conducted research on remote sensing, SAR image analysis, probabilistic imaging models, and statistical image processing. This work provided a strong foundation in imaging science and uncertainty-aware inference, which continues to inform my current research programme.
Teaching
I am the module lead for modules:
- CMT309 - Computational Data Science
- CMT124 - Big Data, Machine Learning & AI
- CMT228 - Applied Computing for Environmental Sustainability
- CM3809 - Data Science Foundations
Biography
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 PhD degrees in electronics and communication engineering from the İzmir Institute of Technology (IZTECH), Turkey, in 2012 and 2018, respectively. I have been awarded the 2020 IEEE Turkey PhD. Thesis Award.
Before joining Cardiff University in 2021, I was a Postdoctoral Research Associate in the Department of Electrical and Electronic Engineering at the University of Bristol (2018–2021), where I worked on statistical signal and image processing, machine learning, and remote sensing.
At Cardiff University, I serve as Deputy Director of the Cardiff Data Science Academy (DSA), Lead of the Remote Sensing Image and Data Analysis (ReSIDA) Research Group, and Joint Programme Lead for the MSc in Data Science for Environmental Sustainability.
I have co-authored over 90 scientific publications spanning statistical data science, machine learning, signal and image processing, remote sensing, and environmental analytics. I am a member of the IEEE, the IEEE Signal Processing Society, and a Fellow of the Higher Education Academy (FHEA).
Honours and awards
- 2022 Fellow of the Higher Education Academy (FHEA)
- 2020 PhD Thesis Award / the Institute of Electrical and Electronics Engineers (IEEE) Turkey Section
- 2017 International PhD Fellow / The Scientific and Technological Research Council of Turkey (TUBITAK)/Turkey
- 2012 – 2017 PhD Scholar / The Scientific and Technological Research Council of Turkey (TUBITAK)/Turkey
- 2012 Graduate Scholar / Turkcell Academy, Technology Leaders/Turkey
- 2009 – 2011 MSc Scholar / The Scientific and Technological Research Council of Turkey (TUBITAK)/Turkey
- 2009 Top student of the Department of Electronics Engineering / 3.80/4.00 GPA / Istanbul Kultur University / Turkey
- 2007 – 2009 High Honour Student / Istanbul Kultur University / Turkey
Professional memberships
- 2018 – Member, the Institute of Electrical and Electronics Engineers (IEEE)
- 2018 – Member, the Institute of Electrical and Electronics Engineers (IEEE) "Signal Processing Society"
Academic positions
- 2021 - ... : Lecturer in Computer Science and Informatics, Cardiff University
- 2018 - 2021: Research Associate in Image Processing, University of Bristol
- 2012 - 2018: Research Assistant - Izmir Institute of Technology (IZTECH), Turkey
- 2017 – 2017 Visiting Scholar - Istituto di Scienza e Tecnologie dell'Informazione (ISTI)/The Consiglio Nazionale delle Ricerche (CNR)/Pisa, Italy
- 2009 - 2012: Research Assistant - Yasar University, Turkey.
Committees and reviewing
- 2025 – Editorial Board, Frontiers in Sports and Active Learning
- 2024 – Editorial Board, Frontiers in Remote Sensing
- 2020 – Reviewer, Applied Ocean Research/Elsevier
- 2020 – Reviewer, Transactions on Signal Processing/IEEE
- 2020 – Reviewer, Transactions on Computational Imaging / IEEE
- 2020 – Reviewer, Remote Sensing of Environment / Elsevier
- 2019 – Reviewer, Neural Processing Letters /Springer
- 2019 – Reviewer, Remote Sensing / MDPI
- 2019 – Reviewer, Sensors / MDPI
- 2018 – Reviewer, Transactions on Image Processing/IEEE
- 2018 – Reviewer, Transactions on Geoscience and Remote Sensing/IEEE
- 2018 – Reviewer, Transactions on Control Systems Technology /IEEE
- 2018 – Reviewer, Transactions on Sustainable Energy / IEEE
- 2017 – Reviewer, Digital Signal Processing: A Review Journal/Elsevier
- 2017 – Reviewer, Transactions on Power Systems/IEEE
Supervisions
I am the Founder and Lead of the Remote Sensing Image and Data Analysis (ReSIDA) Research Group at Cardiff University. The group develops statistical, machine learning, and signal processing methodologies for analysing complex imaging, sensor, and environmental data, with a particular emphasis on uncertainty-aware modelling and data-centric AI.
Current research themes include:
- Statistical and Bayesian Machine Learning
- Uncertainty-Aware AI and Probabilistic Inference
- Variational Inference and Generative Bayesian Methods
- Geo-Aware Machine Learning and Spatial Modelling
- Multimodal Data Fusion and Information Integration
- Remote Sensing and Earth Observation Analytics
- Environmental Data Science and Climate Applications
- Signal and Image Processing
- Computational Imaging and Inverse Problems
- Explainable and Trustworthy AI
- Graph-Based Learning and Complex Systems Modelling
- Sports Analytics and Spatio-Temporal Data Science
The group combines methodological research with real-world applications, working closely with academic, industrial, and public-sector partners. We welcome applications from motivated MSc and PhD students interested in developing novel methods and applying them to challenging real-world datasets.
Prospective postgraduate students interested in joining the group are encouraged to contact me directly at [email protected] to discuss potential research projects and funding opportunities.
I also welcome applications through externally funded schemes, including the China Scholarship Council (CSC) PhD Scholarship Programme and other international scholarship routes.
Current supervision
Wanli Ma
Zien Ma
News articles
Contact Details
Research themes
Specialisms
- Satellite remote sensing
- Machine learning
- Environmental assessment and monitoring
- Data science
- sport analytics