Dr Mosayeb Davoudi Kashkouli
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Role:
Department staff:
Collaborations:
- Airbus in the UK
- Big Data Enterprise and Artificial Intelligence Laboratory
- Redistributed Manufacturing in Healthcare Network (RiHN)
- Bristol Robotic Laboratory (BRL)
Research staff:
Teaching staff:
- Qualifications:
- PhD in Mechanical Engineering
- Position:
- Lecturer in Engineering Technologies
- Department:
- FET - Engineering, Design and Mathematics
- Telephone:
- +441179656261
- Email:
- Mosayeb.DavoudiKashkouli@uwe.ac.uk
- Social media:
-
About me
Dr. Davoudi is a Lecturer in Engineering Technologies at the University of the West of England, holding a PhD in Mechanical Engineering and a Master's degree in Data Science. His expertise focuses on AI-driven solutions, intelligent systems, predictive maintenance, machine learning, and computer vision. His research integrates these areas to develop practical, data-driven technologies for applications such as real-time object detection, video inpainting, 3D data modelling, and industrial fault prediction.
He currently leads a project under the New Starter Researcher Development Scheme (2023–26), focusing on predictive maintenance for industrial machinery. This research leverages machine learning techniques to predict Remaining Useful Life (RUL) and support more efficient, reliable, and cost-effective maintenance strategies.
He is committed to interdisciplinary research and innovation, with a strong interest in advancing intelligent systems that address real-world engineering challenges and deliver meaningful impact across industry.
Area of expertise
- AI and Intelligent Systems
- Predictive Maintenance and Prognostics
- Machine Learning
- Computer Vision
- Remaining Useful Life Prediction
- Real-Time Object Detection
- Video Inpainting
- 3D Data Modelling and Analytics
Publications
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