Skip to main content
Oktay Karakus

Dr Oktay Karakus

(he/him)

Users
Available for postgraduate supervision

Teams and roles for Oktay Karakus

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

2025

2024

2023

2022

2021

2020

2017

2016

2015

2014

2013

2012

2011

Articles

Conferences

Other

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

News articles

Computer science third-year Arsalaan Ahmad led paper on mapping natural disasters with satellite AI

Childhood in Oman's mountains inspires undergraduate’s first research paper

24 September 2026

Computer science third-year Arsalaan Ahmad led paper on mapping natural disasters with satellite AI

Contact Details

Email [email protected]
Telephone +44 29225 14927
Campuses Abacws, Room 2.21, Senghennydd Road, Cathays, Cardiff, CF24 4AG

Specialisms

  • Satellite remote sensing
  • Machine learning
  • Environmental assessment and monitoring
  • Data science
  • sport analytics