Projects per year
Personal profile
Personal Statement
I am passionate about Advanced Digital Manufacturing. My research aims to deliver new and exciting scientific insights as well as practical technological solutions that help industry and academia alike. Advanced Digital Manufacturing encompasses Industry 4.0 technology, Cyber Physical Systems (CPS), Industrial Internet of Things (IIoT) and utilises latest developments in Cloud Manufacturing and Big Data Analytics. My work around Design for Industry 4.0 and Digital Manufacturing is aiming to improve existing Manufacturing Systems to make them smarter, more autonomous and agile, cost efficient, better connected and well informed Through-Life. These efforts are supported by research into Additive Manufacturing, Data Analytics, Computational Intelligence and Visualisation. My national and international projects aim at high value industrial applications with impact.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Doctor of Engineering, Automated Surface Reconstruction
Master of Computational Mathematics, Asynchronous Parallel Evolutionary Strategy
External positions
Reader in Computational Manufacturing, Cranfield Univ
1 Jan 2007 → 31 Jan 2017
Privatdozent, Dortmund University of Technology
2004 → 2006
Keywords
- Industry 4.0
- High Value Manufacturing
- Through-Life Engineering
- Optimisation
- Additive Manufacturing
- Computational Intelligence
- Internet of Things
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Network
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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EPSRC HVM CATAPULT Fellowship Project BAUTA “A non-invasive remote maintenance tool for legacy CNC machine tools”
3/10/16 → 2/09/19
Project: Research Fellowship
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EU H2020 CPSE Project LegInt “Integrating Legacy machines with the Internet“
20/04/16 → 20/05/17
Project: Research
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A novel defect depth measurement method based on nonlinear system identification for pulsed thermographic inspection
Zhao, Y., Mehnen, J., Sirikham, A. & Roy, R., 15 Feb 2017, In: Mechanical Systems and Signal Processing. 85, p. 382–395 14 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile37 Citations (Scopus)319 Downloads (Pure) -
Multi-capacity combinatorial ordering GA in application to cloud resources allocation and efficient virtual machines consolidation
Hallawi, H., Mehnen, J. & He, H., 30 Apr 2017, In: Future Generation Computer Systems. 69, p. 1-10 10 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile51 Citations (Scopus)16 Downloads (Pure)
Activities
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EPSRC Peer Review College (External organisation)
Jorn Mehnen (Advisor)
1 Feb 2023Activity: Membership types › Membership of committee
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UNIVERSITY OF EDINBURGH
Jorn Mehnen (Visiting researcher)
9 Feb 2023Activity: Visiting an external institution types › Visiting an external academic institution