Talks & Posters

  1. A. Young, Z. Fei, G. West, P. Murray, J. Zabalza, C. Kennedy, H. Barpugga, “Enhancing efficiency and reliability in nuclear power plant component inspection through automated anomaly detection and imaging techniques,” Talk in Canadian Nuclear Society – Disruptive Innovative Emerging Technologies (CNS-DIET), Nov. 2023.
  2. A. Young, Z. Fei, J. Zabalza, P. Murray, and G. West, “Calandria Tubesheet Bore inspection decision support,” Poster in Nuclear Decommissioning Authority Innovation and Technology Roadshow, Jun. 2023.
  3. A.J. Campbell, J. Zabalza, P. Murray, S. Marshall, G. Myers, R. Bernard, N. Cockbain, and D. Offin, “X-ray classification of Special Nuclear Materials using image segmentation and feature descriptors,” Talk in Canadian Nuclear Society – Disruptive Innovative Emerging Technologies (CNS-DIET), Nov. 2022.
  4. J. Zabalza, A.J. Parker, M. Bandala, P. Murray, S. Marshall, X. Ma, C.J. Taylor, and M. Joyce, “Super resolution hyperspectral imaging based automated inspection of nuclear fuel pellets,” Poster in IEEE Nuclear Science Symposium (NSS), Medical Imaging Conference (MIC) and Room Temperature Semiconductor Detector (RTSD) Conference, Nov. 2022.
  5. A.J. Parker, J. Zabalza, M. Bandala, X. Ma, C.J. Taylor, P. Murray, S. Marshall, and M. Joyce, “Passive, non-destructive enrichment measurement of sintered UO2 fuel pellets,” Poster in IEEE Nuclear Science Symposium (NSS), Medical Imaging Conference (MIC) and Room Temperature Semiconductor Detector (RTSD) Conference, Nov. 2022.
  6. J. Zabalza, “Automatic classification of special nuclear material through X-ray radiography,” Talk in Game Changers Innovation Festival – Lightning Talks, May 2022. [winner talk]
  7. J. Zabalza, “Advances in hyperspectral data processing for remote sensing applications,” Talk in IEEE Middle East chapter meeting on Geoscience. IEEE Geoscience and Remote Sensing Society (GRSS), Aug. 2020.
  8. J. Zabalza, “Singular spectrum analysis and related extensions for effective hyperspectral remote sensing,” Talk in The 2nd International Conference on Spectral Imaging Technology Applications and Development (SITAD), Jul. 2018.
  9. E. Yang, C. Mineo, J. Zabalza, Z. Fei, C. Wong, and Y. Yan, “Machine vision for robotic applications under dynamic environments,” Talk in The 9th China-Scotland Signal and Image Processing Research Academy Workshop (SIPRA), Apr. 2018.
  10. J. Zabalza, J. Ren, and S. Marshall, “Two-dimensional singular spectrum analysis for effective feature extraction and data classification in hyperspectral imaging remote sensing,” Talk in University of Strathclyde, Faculty of Engineering, Research Presentation Day (RPD), Jun. 2015.
  11. T. Qiao, J. Ren, C. Craigie, J. Zabalza, C. Maltin, and S. Marshall, “The use of hyperspectral imaging for predicting beef eating quality,” Poster in International Association for Spectral Imaging Conference (IASIM), Dec. 2014.
  12. J. Zabalza, J. Ren, and S. Marshall, “Folding PCA for feature extraction in remote sensing,” Talk in International Association for Spectral Imaging Conference (IASIM), Dec. 2014.
  13. T. Qiao, J. Ren, J. Zabalza, C. Craigie, C. Maltin, and S. Marshall, “Singular spectrum analysis for hyperspectral imaging based beef eating quality evaluation: a new pre-processing technique,” Poster in 3rd Annual Conference on Body and Carcass Evaluation, Meat Quality, Software and Traceability (FAIM III), Sep. 2014.
  14. J. Zabalza, J. Ren, and S. Marshall, “Singular spectrum analysis for effective data classification in hyperspectral imaging,” Poster in University of Strathclyde, Faculty of Engineering, Research Presentation Day (RPD), Jun. 2014.
  15. J. Zabalza, T. Qiao, J. Ren, and S. Marshall, “Beef quality assessment based on NIR spectroscopy and hyperspectral imaging using classical feature extraction methods with support vector machines,” Poster in Symposium on Hyperspectral Imaging in Research and Engineering (SHIRE), Apr. 2014.
  16. C. Craigie, J. Ren, T. Qiao, J. Zabalza, and C. Maltin, “Project overview-large scale assessment of the utility of spectral technologies in the beef sector,” Talk in 2nd Annual Conference on Body and Carcass Evaluation, Meat Quality, Software and Traceability (FAIM II), Oct. 2013.
  17. T. Qiao, J. Ren, J. Zabalza, C. Craigie, and C. Maltin, “Use of hyperspectral imaging technologies for prediction of beef meat quality,” Poster in 2nd Annual Conference on Body and Carcass Evaluation, Meat Quality, Software and Traceability (FAIM II), Oct. 2013.
  18. J. Zabalza, J. Ren, T. Qiao, C. Craigie, and C. Maltin, “Evaluation of advanced signal processing and machine learning techniques for beef quality assessment using NIR dataset,” Poster in 2nd Annual Conference on Body and Carcass Evaluation, Meat Quality, Software and Traceability (FAIM II), Oct. 2013.
  19. J. Zabalza, J. Ren, and S. Marshall, “Developing models and algorithms for an effective data analysis of large dimensional datasets,” Poster in University of Strathclyde, Faculty of Engineering, Research Presentation Day (RPD), Jun. 2013.
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