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.
Education/Academic qualification
Doctor of Engineering
Master of Computational Mathematics
External positions
Reader in Computational Manufacturing, Cranfield Univ
1 Jan 2007 → 31 Jan 2017Privatdozent, Dortmund University of Technology
2004 → 2006Keywords
- Industry 4.0
- High Value Manufacturing
- Through-Life Engineering
- Optimisation
- Additive Manufacturing
- Computational Intelligence
- Internet of Things
Fingerprint
- 3 Similar Profiles
Network
Projects
-
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
-
EU H2020 CPSE Project LegInt “Integrating Legacy machines with the Internet“
20/04/16 → 20/05/17
Project: Research
Research Output
-
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 AccessFile22 Citations (Scopus)309 Downloads (Pure) -
Multi-capacity combinatorial ordering GA in application to cloud resources allocation and efficient virtual machines consolidation
Hallawi, H., Mehnen, J. & He, H., 1 Apr 2017, In: Future Generation Computer Systems. 69, p. 1-10 10 p.Research output: Contribution to journal › Article › peer-review
Open Access32 Citations (Scopus)
Activities
-
Machine Learning Toward Machine Innovating in an I4 Era
Jorn Mehnen (Participant)
14 Dec 2020 → 17 Dec 2020Activity: Participating in or organising an event types › Key-note speaker and plenary lectures at conferences
-
World Congress on Artificial Intelligence and Robotics Research
Jorn Mehnen (Participant)
26 Oct 2020 → 27 Oct 2020Activity: Participating in or organising an event types › Key-note speaker and plenary lectures at conferences