Personal profile
Personal Statement
Jaime is a Senior Lecturer (former Strathclyde Chancellor's Fellow) working closely with the Advanced Nuclear Research Centre (ANRC) since September 2022.
He is interested in the creation of new artificial intelligence tools to solve real-world industrial challenges.
Jaime has been within the Centre for Signal and Image Processing (CeSIP) since 2011 in different positions including: MSc and PhD student, Research Assistant, Associate, and Fellow. Previously, he took a number of research positions at the Universitat Jaume I, Universitat Politecnica de Valencia and the Energy Technological Institute in Spain.
Research Interests
Signal and image processing, hyperspectral imaging and machine learning for artificial intelligence in a wide range of applications, focusing on the Nuclear Sector.
Expertise And Capabilities
Artificial Intelligence
Machine Learning
Digital Signal Processing
Hyperspectral Imaging
Software Engineering and Robotics
MATLAB, C/C#/C++
Industrial Relevance
Jaime is working on a number of research / KE projects with industrial partners in a wide range of applications, especially in the Nuclear Sector, leading to the exploration and delivery of highly specialised tools. He works closely with the Advanced Nuclear Research Centre (ANRC) at Strathclyde.
Teaching Interests
Jaime is a lecturer in the EE270/EM270 class (Semester 1) since 2022-23, as well as a tutor in the Small Group Seminars since 2018-19. He is also part of Strathclyde's Chinese Teaching Agreement, where he delivers lectures in the class "Signals and Systems".
Academic / Professional qualifications
PhD in Electronic and Electrical Engineering (2012-2015)
PGCert in Researcher Professional Development (2012-2015)
MSc in Electronic and Electrical Engineering (2011-2012)
MAS in Electrical Technology (2008-2010)
MEng in Industrial Engineering (2000-2005)
* MIEEE (since 2014)
* MIET (since 2011)
* Spanish Chartered Industrial Engineer (COIICV - 5288, since 2006)
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Collaborations and top research areas from the last five years
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Building Low-Cost Multispectral (VNIR) Imaging Capacity at MUET for Advancing Sustainable Development Goals in Pakistan
Campbell, A. J. (Principal Investigator), Edwards, P. (Co-investigator), Martin, R. (Co-investigator), Murray, P. (Co-investigator) & Zabalza, J. (Co-investigator)
1/01/26 → 31/01/27
Project: Research
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Video analytics and compression for Internet of Video Things
Zabalza, J. (Principal Investigator) & Murray, P. (Co-investigator)
Digital Barriers Services Limited
1/10/24 → 30/09/27
Project: Research - Studentship
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Attitude estimation using AI-based hyperspectral technology for autonomous close-proximity operations
Cakir, A., Porter, F., Campbell, A., Savitski, V., Hall, I., Longino, J., Zabalza, J., Vasile, M., Murray, P. & Feng, J., 2026, IAF Astrodynamics Symposium. p. 194-208 15 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book
File3 Downloads (Pure) -
Challenge for screening of nuclear fuel debris by innovative spectral imaging and its verification by LIBS mapping: (2) hyperspectral imaging of simulated fuel debris samples in the visible and nearinfrared ranges
Sakaguchi, C., Sakamoto, K., Ohuchi, A., Muta, H., Ohba, H., Zabalza, J., Dunphy, R. D. & Murray, P., 18 Dec 2025, 2025 IEEE Nuclear Science Symposium (NSS), Medical Imaging Conference (MIC) and Room Temperature Semiconductor Detector Conference (RTSD). IEEE, 2 p. (2025 IEEE Nuclear Science Symposium (NSS), Medical Imaging Conference (MIC) and Room Temperature Semiconductor Detector Conference (RTSD)).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book
Datasets
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Video for pick&place study in AFRC project
Yan, Y. (Creator), Zabalza, J. (Data Manager), Mineo, C. (Supervisor), Yang, E. (Supervisor), Fei, Z. (Contributor) & Wong, C. (Contributor), University of Strathclyde, 5 Mar 2019
DOI: 10.15129/4df22803-2cc4-4cce-9cea-509f88f1b504
Dataset
Thesis
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Feature extraction and data reduction for hyperspectral remote sensing Earth observation
Zabalza, J. (Author), 5 Nov 2015Student thesis: Doctoral Thesis
Prizes
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IEEE Brain Data Bank Challenges and Competitions
Ren, J. (Recipient), Zabalza, J. (Recipient), He, M. (Recipient), Sun, Y. (Recipient) & Liu, Y. (Recipient), 8 Jul 2018
Prize: Prize (including medals and awards)
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IEEE Brain Data Bank Challenges and Competitions
Lakany, H. (Recipient), Kahani, D. (Recipient), ARNIN, J. (Recipient), Uttamchandani, D. (Recipient), Ren, J. (Recipient), Murray, P. (Recipient), Di Caterina, G. (Recipient) & Zabalza, J. (Recipient), 31 Oct 2017
Prize: Prize (including medals and awards)
Activities
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Review of a research proposal (SNSF, Switzerland)
Zabalza, J. (Consultant)
Aug 2025Activity: Consultancy
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