Professor Eyad Elyan

Remote Inspection of Oil and Gas Assets using Advanced Machine Learning and Vision Techniques Jul 15, 2021 - Jul 14, 2023
The project will create an intelligent data-driven platform utilising images, ultrasonic scans & other data captured by bespoke remote inspection tools to provide Oil & Gas Operators worldwide with more accurate assessment and predictions of rate of... Read More about Remote Inspection of Oil and Gas Assets using Advanced Machine Learning and Vision Techniques.

Paving the Way for Precise 3D Fusion using Innovative Calibration and Filtering Approach Mar 1, 2024 - Jul 13, 2024
3D scene representation is crucial for many Urban 3D mapping applications. This project seeks to develop and deploy a real-time 3D Point Cloud Fusion system. The project aims to enhance 3D point cloud visualisation through innovative depth map fusion... Read More about Paving the Way for Precise 3D Fusion using Innovative Calibration and Filtering Approach.

AI-Driven Framework for Remote Inspection Apr 1, 2024 - Mar 31, 2026
To develop an Al-driven lmmersive Inspection Platform for energy sector asset inspections, leveraging multi-modal data, artificial intelligence, and immersive augmented/virtual reality technologies, aimed at enhancing efficiency, accuracy, and predic... Read More about AI-Driven Framework for Remote Inspection.

AI-Powered Inspection: Transforming Oil and Gas Asset Management Mar 5, 2024 - Mar 4, 2026
To develop an intelligent and data-driven framework to automate inspection tasks for offshore assets, to provide companies with intelligent monitoring and management of their structures and allow lifespan prediction. This will be achieved by utilisin... Read More about AI-Powered Inspection: Transforming Oil and Gas Asset Management.

AI-Driven Framework for Condition Monitoring and Asset Management in Offshore Drilling Industry Aug 1, 2023 - Jul 31, 2026
To create an intelligent decision support system utilising large volumes of existing sensory data to inform condition monitoring, faults prediction and predictive maintenance.

This will provide asset owners with more intelligent tools for assess... Read More about AI-Driven Framework for Condition Monitoring and Asset Management in Offshore Drilling Industry.

AI and machine learning algorithms for Point Cloud Data processing and the applications Apr 1, 2023 - Sep 30, 2023
PointCloud processing is an important component for 3D applications, specifically for object detection and tracking, as well as change detection, which are essential services.

In this project, we are working to design an adaptive point-cloud reg... Read More about AI and machine learning algorithms for Point Cloud Data processing and the applications.

Toward Data-driven solution for accurate quantification of energy loss in Scottish homes Mar 14, 2022 - Nov 22, 2022
The overall aim of the project is to develop AI and data-driven solutions for processing and analysing large volumes of thermal images of the built environment.

The developed solution will be integrated within an intelligent framework developed b... Read More about Toward Data-driven solution for accurate quantification of energy loss in Scottish homes.

Subsea Artificial Intelligence Body Of Knowledge Mar 1, 2022 - Apr 30, 2023
This project will establish an industry consortium to support a collaboration to create a Subsea Artificial Intelligence Body of Knowledge. (A cloud based repository of images from known subsea events and non events, fully anonymised, classified and... Read More about Subsea Artificial Intelligence Body Of Knowledge.

Cultural Heritage: Modelling the challenge to visitor flow in specific historic buildings Mar 1, 2019 - Oct 28, 2021
In Scotland and Italy, tourism represents 5% / 13% of GDP, and national tourism strategies have prioritised the visitor experience. Visits to sites of “cultural heritage” have increased by 12.5% in Italy, reaching 20% in some Scottish locations - 4.... Read More about Cultural Heritage: Modelling the challenge to visitor flow in specific historic buildings.

Intelligent digitisation platform for processing, detecting and classifying symbols in technical drawings Jan 4, 2017 - Jan 3, 2018
The overall aim of the project is to build a Data Analytics Framework to process, analyse and digitise technical drawing and engineering diagrams using state-of-the-art machine learning and computer vision techniques

Data extraction from complex engineering drawings Aug 1, 2018 - Jul 31, 2019
Engineering drawings and diagrams are commonly used across different industries such as oil and gas, petrochemical, construction, transportation and others. Many legacy documents exist only as paper copies, scanned images or in pixelated format. Digi... Read More about Data extraction from complex engineering drawings.

Augmented Reality Procedural System (Phase 2) Nov 1, 2016 - Oct 31, 2017
Operators, contractors and other service providers in the Oil and Gas industry rely heavily on paper-based guidelines to perform procedural tasks. This is also the case across other different industries. Such approach proved to be time consuming, amb... Read More about Augmented Reality Procedural System (Phase 2).

Data mining and visualisation tool to intelligently mine large volumes of structured and unstructured data in oil/gas operations Jul 1, 2017 - Jun 30, 2019
The project will create a data mining and visualisation tool to intelligently mine large volumes of structured and unstructured data in oil/gas operations and the knowledge to further develop and support the tool, thus improving practice/decision-mak... Read More about Data mining and visualisation tool to intelligently mine large volumes of structured and unstructured data in oil/gas operations.

Application of a range of emerging data analysis techniques to Continental Shelf drill core data Nov 1, 2018 - Oct 31, 2020
To develop and enhance the commercial value of COREX’s unique UK Continental Shelf drill core data, by applying a range of emerging data analysis techniques. A key benefit being to help their customers reduce the cost of evaluating the potential of n... Read More about Application of a range of emerging data analysis techniques to Continental Shelf drill core data.

Create a mobile application which will facilitate the use of sport science and artificial intelligence to provide measured feedback within sports and other environments Jan 11, 2016 - Mar 30, 2017
Many sports teams and individuals have professional standards without the resources. Our aim is to create academically sound, technology driven tools to help sports and other industries benefit from sport science without the need for expensive equipm... Read More about Create a mobile application which will facilitate the use of sport science and artificial intelligence to provide measured feedback within sports and other environments.

Design and develop a 3D/4D interactive augmented visualisation system Oct 1, 2011 - Aug 1, 2014
To design and develop a 3D/4 D interactive augmented visualisation system that will allow us and our SME distributors to efficiently specify our products

Multi-layer authentication platform Aug 7, 2019 - Aug 6, 2021
To develop a multi-layer authentication platform to enable secure remote invigilation, using advanced machine vision and machine learning algorithms to authenticate users who sit online exams remotely and to monitor their performance during the exam... Read More about Multi-layer authentication platform.

Intelligent SYStem for assisted medical diagnosis for CARDIOvascular diseases Feb 17, 2020 - Dec 31, 2021
According to the World Heart Federation, cardiovascular diseases are one of the most prevalent causes of morbidity and mortality in almost two thirds of the world population. In Mexico, most patients don't have a timely diagnosis or access to specifi... Read More about Intelligent SYStem for assisted medical diagnosis for CARDIOvascular diseases.

Professor Eyad Elyan's Projects (18)