Dr Jaime Zabalza

Strathclyde Chancellor's Fellow

Electronic and Electrical Engineering

Personal statement

Jaime is a 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.


Has expertise in:

    Artificial Intelligence

    Machine Learning

    Digital Signal Processing

    Hyperspectral Imaging

    Software Engineering and Robotics

    MATLAB, C/C#/C++

Prizes and awards

Strathclyde Global Talent Programme Chancellor's Fellowship
Turing Network Development Award: Trailblazers Competition
Lightning talk judges choice winner at Game Changers Innovation festival (Whitehaven, England)
IEEE Brain Data Bank Challenges and Competitions
IEEE Brain Data Bank Challenges and Competitions
IET V&I Best PhD Thesis Award (only one in UK per year)

More prizes and awards


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)


A review of spatial enhancement of hyperspectral remote sensing imaging techniques
Aburaed Nour, Alkhatib Mohammed Q, Marshall Stephen, Zabalza Jaime, Ahmad Hussain Al
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing , pp. 1-27 (2023)
Intelligent characterisation of space objects with hyperspectral imaging
Vasile Massimiliano, Walker Lewis, Dunphy R David, Zabalza Jaime, Murray Paul, Marshall Stephen, Savitski Vasili
Acta Astronautica Vol 203, pp. 510-534 (2023)
Hyperspectral imaging analysis of corrosion products on metals in the UV range
Keane Aoife, Murray Paul, Zabalza Jaime, Di Buono Antonio, Cockbain Neil, Bernard Robert
Hyperspectral Imaging and Applications II SPIE Photonex (2023)
Complex-valued neural network for hyperspectral single image super resolution
Aburaed Nour, Alkhatib Mohammed Q, Marshall Stephen, Zabalza Jaime, Ahmad Hussain Al
Proc. SPIE 12338, Hyperspectral Imaging and Applications II SPIE Photonex Proc. of SPIE (2023)
Hyperspectral imaging through partially transparent media
Campbell Andrew, Zabalza Jaime, Murray Paul, Marshall Stephen, Malone Simon
Hyperspectral Imaging and Applications II SPIE Photonex (2023)
Tri-CNN : a three branch model for hyperspectral image classification
Alkhatib Mohammed Q, Al-Saad Mina, Aburaed Nour, Almansoori Saeed, Zabalza Jaime, Marshall Stephen, Ahmad Hussain Al
Remote Sensing Vol 15 (2023)

More publications


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".

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.

Professional activities

University of Dubai
Visiting researcher
Creating and publishing journal papers
Image-processing-based artificial intelligence in industrial applications
PhD Convener
PhD Convener
Discrete Dynamics in Nature and Society (Journal)
Guest editor

More professional activities


NNL Gamechangers GC_142 Phase 5 (Linked to 191761) Image Processing for Enhanced Visualisation
Murray, Paul (Principal Investigator) Marshall, Stephen (Co-investigator) West, Graeme (Co-investigator) Zabalza, Jaime (Co-investigator)
18-Jan-2021 - 31-Jan-2022
Image Processing for Enhanced Visual Inspection of Nuclear Waste Packages GC142 Phase 2
Murray, Paul (Principal Investigator) Marshall, Stephen (Co-investigator) Ren, Jinchang (Co-investigator) West, Graeme (Co-investigator) Zabalza, Jaime (Research Co-investigator)
01-Jan-2020 - 30-Jan-2021
Remote Inspection of SNM cans GC_253
Murray, Paul (Principal Investigator) MacLeod, Charles Norman (Co-investigator) Marshall, Stephen (Co-investigator) Ren, Jinchang (Co-investigator) Zabalza, Jaime (Co-investigator)
01-Jan-2020 - 31-Jan-2020
Oilfield data processing
Murray, Paul (Principal Investigator) Campbell, Andrew John (Co-investigator) Marshall, Stephen (Co-investigator) Ren, Jinchang (Co-investigator) Zabalza, Jaime (Co-investigator)
22-Jan-2019 - 31-Jan-2019
Flexible and Intelligent Path Planning and Control of Industrial Robots towards Autonomous Hot Forging in the Digital Manufacturing Age
Yan, Yijun (Researcher) Mineo, Carmelo (Co-investigator) Yang, Erfu (Principal Investigator) Mehnen, Jorn (Co-investigator) Zabalza, Jaime (Researcher) Fei, Zixiang (Researcher) Wong, Cuebong (Researcher)
The proposed project aims to enhance the autonomous manufacturing capability of UK industry in metal forming and forging. The project brings together two departments of the University of Strathclyde, namely DMEM and EEE. It augments this knowledge with the experts of Strathclyde’s global strategic partner Nanyang Technology University (NTU, Singapore). With Industry 4.0 being currently widely acknowledged as a key driver of industrial advancement, a strong technologic shift has become apparent within industry to move towards both, more intelligence and more autonomy. Currently, hot forging and forming has benefitted only little from this shift beyond traditional automation. There is a vast opportunity to systematically transform the inherently challenging technologies, namely forming and forging into truly smart and flexible manufacturing systems.
The AFRC offers an outstanding practical background for the applied transformation of Industry 4.0 theories. This project aims at delivering practical demonstrators at TRL 6 through implementing advanced knowledge into intelligent robot behaviour and simulation environments for robotic manipulation and flexible automation into the hot forging area considering the “living” and “dirty” environment of such industries, which requires the consideration of humans, hazardous, dynamic, hot and noisy conditions which did not experience much smart automation yet.
01-Jan-2017 - 31-Jan-2018

More projects


Electronic and Electrical Engineering
Royal College

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