Dr Jaime Zabalza
Strathclyde Chancellor's Fellow
Electronic and Electrical Engineering
Personal statement
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.
Back to staff profile
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
Area of Expertise
Artificial Intelligence
Machine Learning
Digital Signal Processing
Hyperspectral Imaging
Software Engineering and Robotics
MATLAB, C/C#/C++
Prize 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)
Back to staff profile
PVC detection in Sellafield repackaging procedures via hyperspectral imaging Zabalza Jaime, Murray Paul, Marshall Stephen, Ren Jinchang, Bernard Robert, Hepworth Steve 13th Nuclear Plant Instrumentation, Control & Human-Machine Interface Technologies, pp. 254-261 (2023) Calandria Tubesheet Bore inspection decision support Young Andrew, Fei Zhouxiang, Zabalza Jaime, Murray Paul, West Graeme Nuclear Decommissioning Authority Innovation and Technology Roadshow (2023) Multiscale superpixelwise prophet model for noise-robust feature extraction in hyperspectral images Ma Ping, Ren Jinchang, Sun Genyun, Zhao Huimin, Jia Xiuping, Yan Yijun, Zabalza Jaime IEEE Transactions on Geoscience and Remote Sensing Vol 61 (2023) https://doi.org/10.1109/tgrs.2023.3260634 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 Vol 16, pp. 2275-2300 (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 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
Publications
Back to staff profile
PhD Convener Examiner 6/2023 Hyperspectral Imaging for Condition Monitoring and Inspection in Industrial Applications Speaker 20/4/2023 University of Dubai Visiting researcher 12/11/2022 Image-processing-based artificial intelligence in industrial applications Speaker 11/2022 Creating and publishing journal papers Speaker 11/2022 PhD Convener Examiner 10/2022
HSI for Granular Material Ph2 GC_267 Gamechanger Murray, Paul (Principal Investigator) Campbell, Andrew John (Co-investigator) Marshall, Stephen (Co-investigator) Zabalza, Jaime (Co-investigator) 24-Jan-2023 - 23-Jan-2023 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
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
Projects
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.
Back to staff profile
Contact
Dr
Jaime
Zabalza
Strathclyde Chancellor's Fellow
Electronic and Electrical Engineering
Email: j.zabalza@strath.ac.uk
Tel: 548 2663