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Dr. Kaya Kuru, Ph.D.

Associate Professor

Present

School of Engineering and Computing, University of Lancashire

Preston, England

United Kingdom

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Dr. Kaya Kuru received the B.Sc. degree from the National Defense University (Turkish Military Academy), the ADP/Major degree in computer engineering from Middle East Technical University (METU), the M.B.A. degree from Selçuk University, and the M.Sc. and Ph.D. degrees in computer science/medical Informatics from METU. He completed his postdoctoral studies with the School of Electronics and Computer Science, University of Southampton, U.K. He is a Software Engineer and currently an Associate Professor of computer-information systems engineering. He has recently engaged in the implementation of numerous AI-based real-world systems within various funded projects. His research interests include the development of geo-distributed autonomous intelligent systems using FL, ML, DL, and DRL with CPSs.

  • Medical Decision Making
  • Medical Image Analysis
  • Medical Informatics/Health Informatics
  • Artificial Intelligence/Machine Learning in Medicine
  • Genomics & Medical Genetics
  • Autonomous Systems
  • Metaverse/Cyber-Physical Systems
  • Expert Systems/Decision Support Systems
  • Big Data Analytics/Federated Learning
  • Computer Vision/Image Processing
  • Advanced Mechatronics Systems
  • Modelling/Simulation/Optimization
  • Data Mining and Knowledge Acquisition
  • Autonomous Vehicles
  • Electromechanical Systems
  • Multispectral Image Analysis
  • Software Engineering
  • Database Management
  • AI in Business
  • Tissue & Cell Pathology
  • Reinforcement Learning
  • Smartphone Application Design
  • Pattern Recognition
  • Telehealth
  • Kuru, K., Ansell, D., Hughes, D., Watkinson, B. J., Gaudenzi, F., Jones, M., Lunardi, D., Caswell, N., Montiel, A. R., Leather, P., Irving, D., Bennett, K., McKenzie, C., Sugden, P., Davies, C., & Degoede, C. (2024). Treatment of Nocturnal Enuresis Using Miniaturised Smart Mechatronics With Artificial Intelligence. In IEEE Journal of Translational Engineering in Health and Medicine (Vol. 12, pp. 204–214). https://doi.org/10.1109/jtehm.2023.3336889.
  • Kuru, K., Worthington, S., Ansell, D., Pinder, J. M., Sujit, A., Watkinson, B. J., Vinning, K., Moore, L., Gilbert, C., Jones, D, & Tinker-Mill, & C. L.. (2024) (Accepted). AITL-WING-HITL: Telemanipulation of autonomous drones using digital twins of aerial traffic interfaced with WING. In IEEE Open Journal of Intelligent Transportation Systems(Vol. 5). https://ieeexplore.ieee.org/xpl/tocresult.jsp?isnumber=8957420.
  • Kuru, K (2024). Blockchain-Based Decentralised Privacy-Preserving Machine Learning Authentication and Verification With Immersive Devices in the Urban Metaverse Ecosystem. In Future Internet. Preprints (Vol. 16, Issue 2). https://doi.org/10.20944/preprints202402.0317.v1).
  • Kuru, K., Clough, S., Ansell, D., McCarthy, J., & McGovern, S. (2023). Intelligent airborne monitoring of irregularly shaped man-made marine objects using statistical Machine Learning techniques. In Ecological Informatics (Vol. 78, p. 102285). Elsevier BV. https://doi.org/10.1016/j.ecoinf.2023.102285.
  • Kuru, K., Clough, S., Ansell, D., McCarthy, J., & McGovern, S. (2023). WILDetect: An intelligent platform to perform airborne wildlife census automatically in the marine ecosystem using an ensemble of learning techniques and computer vision. In Expert Systems with Applications (Vol. 231, p. 120574). https://doi.org/10.1016/j.eswa.2023.120574. https://www.apemltd.com/wildetect-using-machine-learning-to-identify-marine-species/
  • Kuru, K., Pinder, J. M., Watkinson, B. J., Ansell, D., Vinning, K., Moore, L., Gilbert, C., Sujit, A., & Jones, D. (2023). Toward Mid-Air Collision-Free Trajectory for Autonomous and Pilot-Controlled Unmanned Aerial Vehicles. In IEEE Access (Vol. 11, pp. 100323–100342). https://doi.org/10.1109/access.2023.3314504
  • Kuru, K. (2023). MetaOmniCity: Toward Immersive Urban Metaverse Cyberspaces Using Smart City Digital Twins. In IEEE Access (Vol. 11, pp. 43844–43868). https://doi.org/10.1109/access.2023.3272890
  • Kuru, K. (2022). TrustFSDV: Framework for Building and Maintaining Trust in Self-Driving Vehicles. In IEEE Access (Vol. 10, pp. 82814–82833). https://doi.org/10.1109/access.2022.3196941
  • Kuru, K. (2021). Conceptualisation of Human-on-the-Loop Haptic Teleoperation With Fully Autonomous Self-Driving Vehicles in the Urban Environment. In IEEE Open Journal of Intelligent Transportation Systems (Vol. 2, pp. 448–469). https://doi.org/10.1109/ojits.2021.3132725
  • Kuru, K. (2021). Management of geo-distributed intelligence: Deep Insight as a Service (DINSaaS) on Forged Cloud Platforms (FCP). In Journal of Parallel and Distributed Computing (Vol. 149, pp. 103–118). https://doi.org/10.1016/j.jpdc.2020.11.009
  • Kuru, K. (2021). Planning the Future of Smart Cities With Swarms of Fully Autonomous Unmanned Aerial Vehicles Using a Novel Framework. In IEEE Access (Vol. 9, pp. 6571–6595). https://doi.org/10.1109/access.2020.3049094
  • Kuru,K., & Khan, W. (2021). A Framework for the Synergistic Integration of Fully Autonomous Ground Vehicles With Smart City. In IEEE Access (Vol. 9, pp. 923–948). https://doi.org/10.1109/access.2020.3046999
  • Khan, W., Hussain, A., Kuru, K., & Al-askar, H. (2020). Pupil Localisation and Eye Centre Estimation Using Machine Learning and Computer Vision. In Sensors (Vol. 20, Issue 13, p. 3785). https://doi.org/10.3390/s20133785
  • Kuru, K., Ansell, D., Jones, M., Watkinson, B. J., Caswell, N., Leather, P., et al. (2020). Intelligent autonomous treatment of bedwetting using non-invasive wearable advanced mechatronics systems and MEMS sensors. In Medical & Biological Engineering & Computing (Vol. 58, Issue 5, pp. 943–965). https://doi.org/10.1007/s11517-019-02091-x
  • Caswell, N., Kuru, K., Ansell, D., Jones, M. J., Watkinson, B. J., Leather, P., et al. (2020). Patient Engagement in Medical Device Design: Refining the Essential Attributes of a Wearable, Pre-Void, Ultrasound Alarm for Nocturnal Enuresis. In Pharmaceutical Medicine (Vol. 34, Issue 1, pp. 39–48). https://doi.org/10.1007/s40290-019-00324-w
  • Kuru, K., & Ansell, D. (2020). TCitySmartF: A Comprehensive Systematic Framework for Transforming Cities Into Smart Cities. In IEEE Access (Vol. 8, pp. 18615–18644). https://doi.org/10.1109/access.2020.2967777
  • Kuru, K., Ansell, D., Jones, M., De Goede, C., & Leather, P. (2018). Feasibility study of intelligent autonomous determination of the bladder voiding need to treat bedwetting using ultrasound and smartphone ML techniques. In Medical & Biological Engineering & Computing (Vol. 57, Issue 5, pp. 1079–1097). https://doi.org/10.1007/s11517-018-1942-9
  • Kuru, K., &Yetgin, H. (2019). Transformation to Advanced Mechatronics Systems Within New Industrial Revolution: A Novel Framework in Automation of Everything (AoE). In IEEE Access (Vol. 7, pp. 41395–41415). https://doi.org/10.1109/access.2019.2907809
  • Kuru, K., Ansell, D., Khan, W., &Yetgin, H. (2019). Analysis and Optimization of Unmanned Aerial Vehicle Swarms in Logistics: An Intelligent Delivery Platform. In IEEE Access (Vol. 7, pp. 15804–15831). https://doi.org/10.1109/access.2019.2892716
  • Khan, W., Ansell, D., Kuru, K., & Bilal, M. (2018). Flight Guardian: Autonomous Flight Safety Improvement by Monitoring Aircraft Cockpit Instruments. In Journal of Aerospace Information Systems (Vol. 15, Issue 4, pp. 203–214). https://doi.org/10.2514/1.i010570
  • Kuru, K., & Khan, W. (2018). Novel hybrid object-based non-parametric clustering approach for grouping similar objects in specific visual domains. In Applied Soft Computing (Vol. 62, pp. 667–701). https://doi.org/10.1016/j.asoc.2017.11.007
  • Khan, W., &Kuru, K. (2017). An Intelligent System for Spoken Term Detection That Uses Belief Combination. In IEEE Intelligent Systems (Vol. 32, Issue 1, pp. 70–79). https://doi.org/10.1109/mis.2017.13
  • Gursel, G., Gul, H., &Kuru, K. (2016). Determining the weak sides of Helathcare Information Systems: An Emprical E-health Evaluation Study. In AJIT-e Online Academic Journal of Information Technology (Vol. 7, Issue 23, pp. 17–29). https://doi.org/10.5824/1309-1581.2016.2.002.x
  • Kuru, K., Niranjan, M., Tunca, Y., Osvank, E., & Azim, T. (2014). Biomedical visual data analysis to build an intelligent diagnostic decision support system in medical genetics. In Artificial Intelligence in Medicine (Vol. 62, Issue 2, pp. 105–118). https://doi.org/10.1016/j.artmed.2014.08.003
  • Kuru, K. (2014). Optimization and enhancement of H&E stained microscopical images by applying bilinear interpolation method on lab color mode. In Theoretical Biology and Medical Modelling (IF: 2.4) (Vol. 11, Issue 1). https://doi.org/10.1186/1742-4682-11-9
  • Kuru, K., Girgin, S., Arda, K., &Bozlar, U. (2013). A novel report generation approach for medical applications: The SISDS methodology and its applications. In International Journal of Medical Informatics (Vol. 82, Issue 5, pp. 435–447). https://doi.org/10.1016/j.ijmedinf.2012.05.019
  • Kuru, K., T., Yusuf and N, Mahesan (2012) Establishment of Diagnostic Decision Support System (DDSS) in Clinical Diagnosis of Genetic Diseases: The FaceGP DDSS Methodology and Its Applications. In European Journal of Human Genetics (Vol. 20, Supplement 1, pp. 70) https://www.eshg.org/fileadmin/www.eshg.org/conferences/2012/ESHG2012Abstracts.pdf
  • Kuru, K. (2024) (Submitted). MetaCyberCity: Autonomous detection of cybersecurity threats in the urban metaverse cyberspaces using Artificial Intelligence. Future Internet. https://clok.uclan.ac.uk/48926/
  • Kuru, K., Sujit, A., Ansell, D., Jon Watkinson, B., Jones, D., Pinder, J, M, & Tinker-Mill, C. L. (2023) (Submitted). Intelligent, automated, rapid and safe landmine and Unexploded Ordnance (UXO) detection using Maggy. In IEEE Transactions on Geoscience and Remote Sensing. https://clok.uclan.ac.uk/49066/
  • Kuru, K., Sujit, A., Ansell, D., Jon Watkinson, B., Jones, D., Pinder, J. M., & Tinker-Mill, C. L. (2023) (Submitted). Intelligent automated, rapid and safe landmine and Unexploded Ordnance (UXO) detection using multiple sensor modalities mounted on autonomous drones. IEEE Transactions on Geoscience and Remote Sensing. https://clok.uclan.ac.uk/49046/
  • Kuru, K. (2023) (Submitted). Definition of Multi-Objective Deep Reinforcement Learning Reward Functions for Self-Driving Vehicles in the Urban Environment. IEEE Transactions on Vehicular Technology. https://clok.uclan.ac.uk/48926/
  • Kuru, Kaya and Kuru, Kaan (2025) UMetaBE-DPPML: Urban Metaverse & Blockchain-Enabled Decentralised Privacy-Preserving Machine Learning Verification And Authentication With Metaverse Immersive Devices. Internet of Things and Cyber-Physical Systems, 5 (1). ISSN 2667-3452.
  • Kuru, Kaya (2014) A Novel Hybrid Clustering Approach for Unsupervised Grouping of Similar Objects. In: Hybrid Artificial Intelligence Systems. Lecture Notes in Computer Science, 8480 . Springer, pp. 642-653. ISBN 978-3-319-07617-1.
  • Kuru, Kaya and Tunc, Yusuf (2012) Diagnostic Decision Support System in Dysmorphology. In: Decision Support Systems. IntechOpen. ISBN 978-953-51-0799-6.
  • Kuru, Kaya and Girgin, Sertan (2011) A Bilinear Interpolation Based Approach for Optimizing Hematoxylin and Eosin Stained Microscopical Images, Pattern Recognition in Bioinformatics. In: Pattern Recognition in Bioinformatics. Lecture Notes in Computer Science, 7036. Springer, pp. 168-178. ISBN 978-3-642-24855-9.
  • Kuru, Kaya, Girgin, Sertan, Arda, Kemal, Bozlar, Uğur and Akgün, Veysel (2009) Developing Diagnostic DSSs Based on a Novel Data Collection Methodology. In: Knowledge Science, Engineering and Management. Lecture Notes in Computer Science, 5914 . Springer, pp. 110-121. ISBN 978-3-642-10488-6.
  • Kuru, Kaya, Girgin, Sertan and Arda, Kemal (2009) A Novel Multilingual Report Generation System for Medical Applications. In: Artificial Intelligence in Medicine. Lecture Notes in Computer Science, 5651. Springer, Berlin Heidelberg, pp. 201-205. ISBN 13:978-3-642-02975-2.
  • Kuru, Kaya, Ansell, Darren, Jones, David, Watkinson, Benjamin, Pinder, John Michael, Hill, John Anthony, Muzzall, Eden, Tinker-Mill, Claire Louisa, Stevens, Kerry et al (2024) Intelligent Airborne Monitoring of Livestock Using Autonomous Uninhabited Aerial Vehicles. In: Precision Livestock Farming 2024. European Conference on Precision Livestock Farming (ECPLF), pp. 1100-1110. ISBN 9798331303549.