Bilal Ahmad

About

Professor Bilal Ahmad is Academic Lead for the Automated Distribution and Manufacturing Centre (ADMC). His work centres on bridging the gap between research and real-world industrial deployment, enabling industry to adopt advanced automation and digital technologies effectively.
Bilal has over 20 years experience in applied industrial research in the manufacturing sector. He has led numerous high- profile national and international research and innovation projects, collaborating closely with industry partners such as Jaguar Land Rover, Lear Corporation, Airbus, Safran, Apollo Tyres, SKF, Schneider Electric, Siemens, and Thyssenkrupp. His work have been instrumental in shaping and advancing the landscape of automation and digital manufacturing within partner industries. Bilal is a Senior Member of the lEEE, serving as Vice-Chair of the IEEE Technical Committee on Industrial Agents and contributing to several other technical committees and standardisation working groups that shape the future of industrial automation. Prior to joining NTU, he was leading research and innovation in advanced automation and robotics at WMG, part of the High Value Manufacturing Catapult, at the University of Warwick.

Employment

• Nottingham Trent University Professor
  2025 - Present
• University of Warwick Reader
  2022 - 2025
• University of Warwick Associate Professor
  2020 - 2022
• University of Warwick Senior Research Fellow
  2016 - 2020
• University of Warwick Research Fellow
  2013 - 2016
• Loughborough University Research Associate
  2010 - 2013

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (60)

• Digitalization of the Components of a Mini Factory with the Implementation of RAMI 4.0 Asset Administration Shell
  2024 IEEE 7th International Conference on Industrial Cyber-Physical Systems, ICPS 2024 2024 DOI: 10.1109/ICPS59941.2024.10640019
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• A 5G Automated-Guided Vehicle SME Testbed for Resilient Future Factories
  IEEE Open Journal of the Industrial Electronics Society 2023 DOI: 10.1109/OJIES.2023.3291234
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• An analysis of the available virtual engineering tools for building manufacturing systems digital twin
  Procedia CIRP 2023 DOI: 10.1016/j.procir.2023.02.096
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• Literature Survey on Manufacturing Shop Floor Performance Measurements: Frameworks, Models, and Categorizations
  Proceedings - 2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems, ICPS 2023 2023 DOI: 10.1109/ICPS58381.2023.10128010
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• Observer-Based Robust Adaptive Control for the Synchronization of Uncertain Multiple Robot Manipulators
  Proceedings - 2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems, ICPS 2023 2023 DOI: 10.1109/ICPS58381.2023.10127998
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• Reinforcement learning based trustworthy recommendation model for digital twin-driven decision-support in manufacturing systems
  Computers in Industry 2023 DOI: 10.1016/j.compind.2023.103884
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• Sub-6 GHz Channel Modeling and Evaluation in Indoor Industrial Environments
  IEEE Access 2022 DOI: 10.1109/ACCESS.2022.3227052
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• Virtual Engineering and Commissioning to Support the Lifecycle of a Manufacturing Assembly System
  Machines 2022 DOI: 10.3390/machines10100939
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• Trust Model Experimental Validation to Improve the Digital Twin Recommendation System
  Proceedings - 2022 IEEE 5th International Conference on Industrial Cyber-Physical Systems, ICPS 2022 2022 DOI: 10.1109/ICPS51978.2022.9816922
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• Threat modelling for industrial cyber physical systems in the era of smart manufacturing
  Computers in Industry 2022 DOI: 10.1016/j.compind.2022.103611
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