Jacob Nilsson
Doktorand
Luleå tekniska universitet
Luleå tekniska universitet
Elektroniksystem
EISLAB
Teknologkåren, Institutionen för system- och rymdteknik
Research
My PhD research focuses on combining machine learning and semantic technologies in machine-to-machine communication for the industrial internet of things to enable interoperability between heterogenous devices.
My research is applied to services within the Arrowhead Framework, a service-oriented architecture for IoT.
Current Projects
- Productive 4.0, bringing Industry 4.0 closer to reality.
Teaching
- TA in Electric Circuit Theory (E0003E).
- TA in IoT-based industrial automation and digitalization (D7042E).
Contact me
- My LinkedIn
Publikationer
Konferensbidrag
Interoperability and machine-to-machine translation model with mappings to machine learning tasks (2019)
Ingår i: 2019 IEEE 17th International Conference on Industrial Informatics (INDIN), s. 284-289, IEEE, 2019
Konferensbidrag
Interoperability automation considered as machine learning tasks (2019)
Paper presented at : 2nd Productive4.0 Consortium Conference, Budapest, March 12-14, 2019
Licentiatavhandling, sammanläggning
System of Systems Interoperability Machine Learning Model (2019)
Konferensbidrag
Semantic Interoperability in Industry 4.0 (2018)
Survey of Recent Developments and Outlook
Ingår i: 2018 IEEE 16th International Conference on Industrial Informatics (INDIN), s. 127-132, IEEE, 2018, 8471971
