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.

Expertise

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: Recipient; 1/9/2022
Turing Network Development Award: Trailblazers Competition: Recipient; 6/2022
Lightning talk judges choice winner at Game Changers Innovation festival (Whitehaven, England): Recipient; 5/2022
IEEE Brain Data Bank Challenges and Competitions: Recipient; 8/7/2018
IEEE Brain Data Bank Challenges and Competitions: Recipient; 31/10/2017
IET V&I Best PhD Thesis Award (only one in UK per year): Recipient; 12/2016

More prizes and awards

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)

Publications

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); https://doi.org/10.1109/JSTARS.2023.3242048
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); https://doi.org/10.1016/j.actaastro.2022.11.039
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); https://doi.org/10.1117/12.2647429
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); https://doi.org/10.1117/12.2645086
Hyperspectral imaging through partially transparent media: Campbell Andrew, Zabalza Jaime, Murray Paul, Marshall Stephen, Malone Simon; Hyperspectral Imaging and Applications II SPIE Photonex (2023); https://doi.org/10.1117/12.2653629
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); https://doi.org/10.3390/rs15020316

More publications

Teaching

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; 12/11/2022
Creating and publishing journal papers: Speaker; 11/2022
Image-processing-based artificial intelligence in industrial applications: Speaker; 11/2022
PhD Convener: Examiner; 10/2022
PhD Convener: Examiner; 2/2022
Discrete Dynamics in Nature and Society (Journal): Guest editor; 2022

More professional activities

Projects

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

Address

Electronic and Electrical Engineering
Royal College

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