1. J. Zabalza, “Feature extraction and data reduction for hyperspectral remote sensing Earth observation,” Ph.D. dissertation, University of Strathclyde, EEE, Jun. 2015.
  2. J. Zabalza, “Feature selection for effective classification and data analysis in hyperspectral imaging,” M.Sc. dissertation, University of Strathclyde, EEE, Sep. 2012.
  3. J. Zabalza, “Utilización del filtrado de Kalman en algoritmos de control de inversores trifásicos para generación distribuida,” M.A.S. dissertation, Universitat Politècnica de València, DIE, Oct. 2009.
  4. J. Zabalza, “Análisis comparativo entre electrificación convencional y sistema basado en energías renovables para electrificación rural en Atzeneta del Maestrat,” M.Eng. dissertation, Universitat Jaume I, ESTCE, Feb. 2006.


  1. Small Group Tutorial (SGT) CES105 (Tutor – University of Strathclyde, 2020/2021): Analogue and digital electronics.
  2. EE581/EE881/EE981 Image And Video Processing (Online teaching with voice over presentation – University of Strathclyde, 2020/2021): Image filters, feature extraction, hyperspectral imaging.
  3. EE270/EM270 Digital Electronics (Teaching Assistant – University of Strathclyde, 2020/2021): State machine design and analysis, Flip-Flops.
  4. Signals and Systems (Online teaching with voice over presentation for NEEPU, Jilin, China 2020/2021): 1D/2D correlation/convolution, spectral analysis, digital filters, and practical case studies.
  5. Small Group Tutorial (SGT) CES105 (Tutor – University of Strathclyde, 2019/2020): Analogue and digital electronics.
  6. 19496 Project Presentations (Marking panel – University of Strathclyde, 2019/2020).
  7. Signals and Systems (2-week teaching in NEEPU, Jilin, China 2018/2019): Fourier series, Fourier transform (DTFT, DFT), spectral analysis and digital filters.
  8. Small Group Tutorial (SGT) EM105 (Tutor – University of Strathclyde, 2018/2019): Analogue and digital electronics.
  9. EE581/EE981 Image and Video Processing (Teaching Assistant – University of Strathclyde, 2017/2018): Mask operations, 2D filters, mathematical morphology, erosion, dilation.
  10. EE313/EM301 Engineering Analysis (Teaching Assistant – University of Strathclyde, 2014/2015): Probabilistic modelling and inference, principal component analysis, distance and similarity measurement, data clustering, information theory and entropy.


  1. Ms Nour Aburaed (2nd supervisor 2020/…) – Deep learning based hyperspectral imaging super resolution, Ph.D. in Electronic and Electrical Engineering.
  2. Mr Samson Damilola Fabiyi (2nd supervisor 2020/…) – Feature extraction techniques for hyperspectral images, Ph.D. in Electronic and Electrical Engineering.
  3. Mr Calum MacLellan (3rd supervisor 2019/…) – Automatic cytoplasm segmentation of overlapping cervical cells, Eng.D. in medical devices.
  4. Mr Calum MacLellan (3rd supervisor 2018/2019) – Automatic cytoplasm segmentation of overlapping cervical cells using edge-based active contours, miniproject towards EngD medical devices.
  5. Miss Elsa Marie (helping supervisor 2017/2018) – Development of an application for collection of remote sensing images, 12-week international internship (student originally from Grenoble, France).
  6. Mr Ruojia Yin (helping supervisor 2017/2018) – ECG analysis, undergraduate project.
  7. Mr Matt Gaffney (helping supervisor 2017/2018) – Object detection, undergraduate project.


  1. V. Masero-Vargas, “Una nueva metodología de segmentación de imágenes basada en contornos activos. Aplicación a la segmentación de imágenes médicas para la reconstrucción tridimensional de estructuras anatómicas,” Ph.D. dissertation, Universidad de Extremadura, Jan. 2016.


  1. Z. Fang, “Automatic CNN Channel Selection and Effective Detection on Face and Rotated Aerial Objects,” Ph.D. dissertation, University of Strathclyde, Jun. 2020.
  2. Y. Fang, “Remote sensing and machine learning for prediction of wheat growth in precision agriculture applications,” M.Phil. dissertation, University of Strathclyde, Mar. 2020.
  3. J. Tschannerl, “Effective hyperspectral band selection and multispectral sensing based data reduction and applications in food analysis,” Ph.D. dissertation, University of Strathclyde, Jun. 2019.


  1. Editorial board member: Environmental Remote Sensing section – Remote Sensing (RS – MDPI).
  2. Guest: Special issue on Machine Learning Using High-Resolution Remote Sensing Dataset (MLRS) – Remote Sensing (RS – MDPI).
  3. Guest: Special issue on Feature Extraction and Data Classification in Hyperspectral Imaging (FEDCHI) – Remote Sensing (RS – MDPI).
  4. Guest: Special issue on Cognitive Modelling of Multimodal Data Intensive Systems for Applications in Nature and Society (COMDICS) – Discrete Dynamics in Nature and Society (DDNS – Hindawi).


  1. Geoscience and Remote Sensing Letters (GRSL – IEEE).
  2. Neurocomputing (NEUCOM – Elsevier).
  3. Transactions on Geoscience and Remote Sensing (TGRS – IEEE).
  4. Journal of Photogrammetry and Remote Sensing (ISPRS – Elsevier).
  5. Signal Processing Letters (SPL – IEEE).
  6. Signal, Image and Video Processing (SIVP – Springer).
  7. Sensing and Imaging (SI – Springer).
  8. Remote Sensing Letters (RSL – Taylor & Francis).
  9. Multidimensional Systems and Signal Processing (MULT – Springer).
  10. Measurement (MEAS – Elsevier).
  11. Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS – IEEE).
  12. International Journal of Remote Sensing (IJRS – Taylor & Francis).
  13. Cognitive Computation (COGN – Springer).
  14. Expert Systems With Applications (ESWA – Elsevier).
  15. Geoscience and Remote Sensing Magazine (GRSM – IEEE).
  16. Image Processing (IPR – IET).
  17. Journal of The Franklin Institute (JFI – Elsevier).
  18. Applied Sciences (APP – MDPI).
  19. International Journal of Geo-Information (IJGI – MDPI).
  20. Journal of Imaging (JIMAGING – MDPI).
  21. Remote Sensing (RS – MDPI).
  22. Sensors (S – MDPI).
  23. Symmetry (SYM – MDPI).
  24. Journal of Photogrammetry, Remote Sensing and Geoinformation Science (PFGE – Springer).
  25. Physica A: Statistical Mechanics and its Applications (PHYSA – Elsevier).
  26. Signal Processing (SIGPRO – Elsevier).
  27. Springer Nature Applied Sciences (SNAS – Springer).
  28. Biosystems Engineering (YBENG – Elsevier).
  29. Journal of Integrative Neuroscience (JIN – IMR Press).
  30. IEEE Access (Access – IEEE).
  31. Vibrational Spectroscopy (VIBSPEC – Elsevier).
  32. Scientific Reports (SR – Nature).
  33. Information Fusion (INFFUS – Elsevier).
  34. Knowledge-Based Systems (KNOSYS – Elsevier).
  35. IEEE Transactions on Human-Machine Systems (THMS – IEEE).


  1. National Science Centre (NSC), Poland.


  1. The 10th International Conference on Brain-Inspired Cognitive Systems (BICS 2019), China – Publication Chair.
  2. Hyperspectral Imaging and Applications Conference, (HSI 2018), UK – Reviewer.
  3. European Signal Processing Conference (EUSIPCO 2018), Italy – Reviewer.
  4. The 9th International Conference on Brain-Inspired Cognitive Systems (BICS 2018), China – Publication Chair.
  5. European Signal Processing Conference (EUSIPCO 2017), Greece – Reviewer.
  6. International Workshop on Smart Mining of Multimedia Big Data (SMED 2017), UK.
  7. Hyperspectral Imaging and Applications Conference, (HSI 2016), UK – Reviewer.
  8. The 1st IEEE International Conference on Multimedia Big Data (BigMM 2015), China.
  9. Hyperspectral Imaging and Applications Conference, (HSI 2014), UK.
  10. The 21st International Conference on Neural Information Processing (ICONIP 2014), Malaysia – Reviewer.


  1. J. Zabalza, “Singular spectrum analysis for effective feature extraction in hyperspectral imaging,” University of Strathclyde, EEE, CeSIP, Jul. 2014.
  2. J. Zabalza, “Combination of support vector machine and principal component analysis for classification tasks,” University of Strathclyde, EEE, CeSIP, May 2013.
  3. J. Zabalza, “Control de inversores para inyección en red,” Universitat Jaume I, ESID, Apr. 2008.
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