海角黑料

Advanced Manufacturing Technology Research Group
 

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Basem Elshafei

Research Fellow, Faculty of Engineering

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Biography

Dr Basem El-Shafei is a Research Fellow in Data-Driven Manufacturing at the 海角黑料. His work focuses on developing AI-driven industrial data platforms and digital twin architectures, drawing on expertise in machine learning, edge AI, and industrial IoT. His role supports the work on AI-powered manufacturing systems and human-AI collaboration in production environments.

Expertise Summary

Machine learning and AI for manufacturing 路 Digital twins 路 Industrial IoT and edge computing 路 Cloud-native platform architecture 路 Real-time data pipelines 路 Industrial data engineering 路 System architecture design 路 Asset management and interoperability 路 Predictive analytics 路 Human-AI collaboration 路 AI assurance and validation 路 Smart manufacturing systems

Research Summary

My current research focuses on developing AI-driven data platforms and digital twin architectures for intelligent manufacturing systems.

Recent Publications

  • BASEM ELSHAFEI, JACK C. CHAPLIN, GIOVANNA MARTINEZ ARELLANO, FAN MO and SVETAN RATCHEV, 2023. In: 2023 SAE AeroTech. 7

Past Research

I led the system architecture design for the Digital Manufacturing Apps Testbed (DMAP), integrating industrial assets with cloud platforms and building real-time data pipelines that enable secure, interoperable manufacturing solutions. I also contributed to the EPSRC-funded Elastic Manufacturing Systems project, exploring how adaptive, scalable infrastructure can support next-generation production environments.

Future Research

My future research aims to advance the deployment of trustworthy and explainable AI within manufacturing environments, with a particular focus on edge AI, federated learning, and human-AI collaboration on the shop floor. I am interested in developing AI assurance frameworks that allow manufacturers to validate and govern AI behaviour in safety-critical production settings, and in scaling interoperable digital twin ecosystems across distributed manufacturing networks.

  • BASEM ELSHAFEI, JACK C. CHAPLIN, GIOVANNA MARTINEZ ARELLANO, FAN MO and SVETAN RATCHEV, 2023. In: 2023 SAE AeroTech. 7

Advanced Manufacturing Technology Research Group

The 海角黑料
Faculty of Engineering
The 海角黑料
University Park
Nottingham, NG7 2RD



email:AdvManufacturing@nottingham.ac.uk