Learn how this KTP uses ultrasonic data to optimise offshore asset monitoring and lifespan prediction.
Publication presented at 2024's International Conference on Pattern Recognition? Find out more about A Novel Ensemble Aggregation Method Based on Deep Learning Representation
AquaTerra is an established leader in providing multi-disciplined and innovative inspection, construction and maintenance services to the oil and gas, marine and energy transition sectors. They enable their clients to perform more effectively, efficiently and safely, by developing solutions to technical challenges that make a difference.
Robert Gordon University provides industry led undergraduate and postgraduate courses leading to highly relevant awards and degrees.
School of Computing, Engineering and Technology
At the forefront of technology the School fosters innovation, entrepreneurial thinking and develop future-ready graduates capable of adapting to a rapidly changing world across a range of digital and engineering careers.
This School of Computing, Engineering and Technology KTP is led by Prof Eyad Elyan and supervised by Dr Thanh Nguyen and Dr MS Mekala. Eyad is the founder and head of the Interactive Machine Learning group. His primary research interests are in machine learning, ensemble learning, anomaly detection and computer vision. He has led six previous KTPs and won Academic of the Year at the 2023 KTP Awards. Thanh is a Senior Research Fellow who specialises in machine learning, pattern recognition, computer vision and optimisation. Mekala is a Lecturer whose research interests include the design of autonomous vehicles, computational intelligent robots, machine vision, edge computing, machine learning and IoT.
This project will help transform the way AquaTerra delivers its offshore inspection services to clients in the Oil & Gas sector, with the potential to open up wider markets in the marine and renewable energy sectors. The development of an intelligent data-driven framework will enable the company to deliver automated, rapid and accurate inspection reports, in a format that best suits their customers' needs, to better forecast and manage asset maintenance and lifespans. With the support of RGU's experience data scientists, the KTP will embed new knowledge into the company to allow AquaTerra to build data science capabilities within its technical team, which can then be applied to the development of future innovative products and service offerings.
Professor of Machine Learning and Computer Vision
Dr Eyad Elyan is a Reader in Machine Learning and he leads the Machine Learning and Vision Application Research group at Robert Gordon University School of Computing, Engineering and Technology.
His primary research interests are in machine learning, machine vision (2D and 3D images) and data analytics. His research was funded by different resources including Innovate UK, the Scottish Data Lab Innovation Centre and Oil and Gas Innovation Centre (OGIC), Historic Environment Scotland and others.
In 2023 he was awarded Innovate UK Academic of the Year.
KTP Associate
The partnership recruited Thanh Nguyen as Data Scientist (KTP Associate) for this 2-year project. Thanh was previously working in Vietnam and was made aware of the opportunity by a friend. Since starting work on the KTP, Thanh has already been an invaluable asset, implementing an integrity management system to collect and analyse ultrasonic testing data in minutes. This would previously have been processed manually and taken much longer.
Thanh is enjoying the opportunity to work in a new sector and culture, to improve his communication skills and to hopefully undertake further study. Read more about his experience here.