Dr Gordon Dobie


Electronic and Electrical Engineering

Personal statement

Dr G. Dobie is a Reader in the Department of Electronic & Electrical Engineering at the University of Strathclyde. He received his MEng in Electrical & Mechanical Engineering at the University of Strathclyde and a PhD in the Centre for Ultrasonic Engineering developing a reconfigurable non-contact inspection system.


Dry coupled ultrasonic non-destructive evaluation using an over-actuated unmanned aerial vehicle
Watson Robert, Kamel Mina, Zhang Dayi, Dobie Gordon, MacLeod Charles, Pierce S Gareth, Nieto Juan
IEEE Transactions on Automation Science and Engineering Vol 19, pp. 2874-2889 (2022)
Ultrasonic guided wave estimation of minimum remaining wall thickness using Gaussian process regression
Tabatabaeipour Morteza, Tzaferis Konstantinos, McMillan Ross, Jackson William, Dobie Gordon, Edwards Rachel S, Trushkevych Oksana, Gachagan Anthony
Materials & Design Vol 221 (2022)
Modelling and characterisation ultrasonic phased array transducers for pipe inspections
Hampson Rory, Zhang Dayi, Gachagan Anthony, Dobie Gordon
International Journal of Pressure Vessels and Piping Vol 200 (2022)
Multi-sensor electromagnetic inspection feasibility for aerospace composites surface defects
Mohseni E, Pierce S G, Vithanage R, Dobie G, MacLeod C N, McKnight S, Foster E, Loukas C, McInnes M, Gover H, Burnham K, O'Brien-O'Reilly J, Paton S, Munro G, O'Hare T, Grosser M
59th Annual British Conference on Non-Destructive Testing 2022 (2022)
Non-contact ultrasonic-based Bayesian mapping for robotic structural inspection
Tabatabaeipour Morteza, McMillan Ross, Tzaferis Konstantinos, Jackson William, Edwards Rachel S, Trushkevych Oksana, Dobie Gordon, MacLeod Charles, Gachagan Anthony
59th Annual British Conference on Non-Destructive Testing 2022 (2022)
Tactile imaging : the requirements to transition from screening to diagnosis of breast cancer - a concise review of current capabilities and strategic direction
Hampson R, Anderson R G, Dobie G

More publications


Mobile Robotics and Microcontrollers

Research interests

His primary research interests include ultrasonics, NDE, automation, robotics, signal processing, computer vision and embedded systems. His current work in CUE focuses on:

Automated inspection

Automated analysis 


Professional activities

Sensor Enabled Automation
Process to part inspection: using hybrid robotics to enable flexible manufacturing NDT
Automated detection of crack features in nuclear superheaters using deep learning with automatically labelled datasets
RCNDE Technology Transfer Event
Visiting researcher

More professional activities


Adaptive Path Planning and Visual Navigation of Autonomous Inspection Robots in Challenging Environments
Yang, Erfu (Principal Investigator) Dobie, Gordon (Co-investigator) Jiang, Meiling (Researcher)
This project aims to fundamentally investigate the novel adaptive path planning and visual navigation of robots (such as an industrial robot manipulator, Cobot, UAV etc.) for autonomous inspection by enabling holistic control and interactions of robots in complex, dynamic and changing environments such that safety and interaction of nearby humans/operators/other objects etc. can be maintained while the inspection tasks are taking place. At the same time, the efficiency and flexibility of the inspection process is also achieved when process variations or environmental changes take place.
01-Jan-2022 - 30-Jan-2025
KTP 13263 - Inspectahire Instrument Co Limited. Development of a portable fluid level measuring device for use in the hazardous zoned area of bonded warehouses to enable owners to monitor cask contents.
Dobie, Gordon (Principal Investigator) MacLeod, Charles Norman (Co-investigator)
01-Jan-2022 - 31-Jan-2024
EPSRC Centre for Doctoral Training in Future Ultrasonic Engineering (FUSE CDT) -PhD studentship
Tunukovic, Vedran (Principal Investigator) Mohseni, Ehsan (Principal Investigator) Pierce, Gareth (Principal Investigator) Dobie, Gordon (Principal Investigator) Cochran, Sandy (Principal Investigator)
Automated Ultrasound Data Processing for Defect Detection and Characterization Through Machine Learning
01-Jan-2022 - 01-Jan-2025
MOEA/D-PPR: Path Planning of Robots in Complex Environments via the Multiobjective Evolutionary Algorithm Based on Decomposition
Yang, Erfu (Principal Investigator) Dobie, Gordon (Co-investigator)
With industry 4.0 upgrading many sectors such as manufacturing and oil & gas industry through intelligence and autonomy for their sustainable development towards green and net-zero ambitions, robotics and autonomous systems (RAS) have received increasing interests and applications where complex and harsh environments may cause significant issues. Among them, health, safety and environmental concerns are the key drivers for deployment of RAS technology to control, grasp, manipulate, inspect key objects (such as wind turbines/blades, gearboxes etc.). Therefore, novel and efficient path planning algorithm is highly sought in ensuring robots to accompany their tasks optimally with challenging and sometime conflicting objectives under strict requirements/constraints caused by complex environments.
31-Jan-2022 - 30-Jan-2024
ANRC 33 ALICS - Adaptive Lighting for Inspection of Concrete Structures
Perry, Marcus (Principal Investigator) Dobie, Gordon (Co-investigator) Wallace, Christopher (Co-investigator)
19-Jan-2021 - 18-Jan-2023
Canon/FUSE CDT - Medical Imaging - Alistair Lawley
Dobie, Gordon (Principal Investigator)
14-Jan-2020 - 13-Jan-2023

More projects


Electronic and Electrical Engineering
Royal College

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