Department of Electrical Engineering and Automation
Valeriy Vyatkin
Professor
Contact information
Email
[email protected]
Mobile phone
+358505780001
Full researcher profile
https://research.aalto.fi/...
Research groups
Information Technologies in Industrial Automation
Publications
Information Technologies in Industrial Automation, Department of Electrical Engineering and Automation, Jaan Praks Group, Department of Electronics and Nanoengineering
Utilizing software design patterns in product-driven manufacturing system
Publishing year: 2020
Proceedings of SOHOMA 2019
Information Technologies in Industrial Automation, Department of Electrical Engineering and Automation
On Developing a Collaborative and Interoperable Mobile Production Platform for an Agile Factory
Publishing year: 2019
Proceedings of the IEEE International Conference on Industrial Internet, ICII 2019
Information Technologies in Industrial Automation, Department of Electrical Engineering and Automation
Service-based Architecture with Product-centric Control in a Production Island-based Agile Factory
Publishing year: 2019
Proceedings of the IEEE International Conference on Industrial Internet, ICII 2019
Information Technologies in Industrial Automation, Department of Electrical Engineering and Automation
A Survey of Static Formal Methods for Building Dependable Industrial Automation Systems
Publishing year: 2019
IEEE Transactions on Industrial Informatics
Department of Electrical Engineering and Automation, Information Technologies in Industrial Automation
Guest editorial
Publishing year: 2019
IEEE Transactions on Industrial Informatics
Information Technologies in Industrial Automation, Department of Electrical Engineering and Automation
On Portability of IEC 61499 Compliant Structures and Systems
Publishing year: 2019
Proceedings of the 2019 IEEE 28th International Symposium on Industrial Electronics, ISIE 2019
Department of Electrical Engineering and Automation, Information Technologies in Industrial Automation
Multi-agent deep learning for simultaneous optimization for time and energy in distributed routing system
Publishing year: 2019
Future Generation Computer Systems
Department of Electrical Engineering and Automation, Information Technologies in Industrial Automation
Applying graph matching techniques to enhance reuse of plant design information
Publishing year: 2019
Computers in Industry