Jacob Nilsson
Cyberfysiska system
EISLAB
Teknologkåren, Institutionen för system- och rymdteknik
Research
My research focuses on enabling interoperability in systems of systems, specifically dynamic interoperability of messages, sometimes called semantic interoperabilty. I am currently investigating the approaches to combine modern machine learning techniques with metadata.
Current Projects
Past Projects
Teaching
- TA in Electric Circuit Theory (E0003E).
- TA in IoT-based industrial automation and digitalization (D7042E).
Other
Member of the board of the PhD Association 2020-2021 as a member of the Research Education Group.
Contact me
- My LinkedIn
Publikationer
Dataset
JSON Dataset of Simulated Building Heat Control for System of Systems Interoperability (2022)
Doktorsavhandling, sammanläggning
Machine Learning Concepts for Service Data Interoperability (2022)
Ingår i: JSON Dataset of Simulated Building Heat Control for System of Systems Interoperability
Konferensbidrag
Autoencoder Alignment Approach to Run-Time Interoperability for System of Systems Engineering (2020)
Ingår i: IEEE 24th International Conference on Intelligent Engineering Systems, Proceedings, s. 139-144, IEEE, 2020
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, 12-14 March, 2019, Budapest, Hungary
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
Manuskript (preprint)
Machine Learning based System–of–Systems Interoperability
A SenML–JSON Case Study