Personal statement
Jaime joined the Centre for Signal and Image Processing (CeSIP) to undertake a MSc in Electronic and Electrical Engineering in 2011 and a PhD in Hyperspectral Remote Sensing (2012-2015).
He has been a Research Associate since April 2018. 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
Prizes and awards
- 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)
MSc in Electronic and Electrical Engineering (2011-2012)
MAS in Electrical Technology (2008-2010)
MEng in Industrial Engineering (2000-2005)
PGCert in Researcher Professional Development (2015)
Spanish Chartered Industrial Engineer (COIICV - 5288)
Teaching
Jaime looks after Small Group Tutorials, providing additional academic and general support to first-year students. He has also taught a course: "Signals and Systems" in Jilin, China.
Research interests
Signal and image processing. machine learning, artificial intelligence, data mining, deep learning, big data, hyperspectral imaging. remote sensing, computer vision 2D/3D, robotics, object detection and tracking, non-destructive inspection, condition monitoring, image stitching, smart manufacturing, human-computer interaction.
Professional activities
- Remote Sensing (Journal)
- Peer reviewer
- 2020
- Remote Sensing (Journal)
- Guest editor
- 2020
- MPhil Convener
- Examiner
- 1/2020
- Beijing University of Technology
- Visiting researcher
- 11/4/2019
- Northeast Electric Power University
- Visiting researcher
- 1/4/2019
- Demos on robotically enabled sensing and novel robot control for dynamic environments
- Consultant
- 12/3/2019
More professional activities
Projects
- 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
- 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 Building
Royal College Building
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