Riku Ala-Laurinaho
Staff Scientist
Staff Scientist
T212 Department of Energy and Mechanical Engineering
Full researcher profile
https://research.aalto.fi/...
E-post
riku.ala-laurinaho@aalto.fi
Postadress
Puumiehenkuja 5
02150 Espoo
Finland
Utmärkelser
METEX award
METEX award for exceptional master's thesis
Palkinto tai huomionosoitus tuotoksesta
Jan 2020
Forskningsgrupp
- Mekatroniikka, Staff Scientist
Publikationer
Regulatory requirement classification and semantic verification for model-based ship design
Haitham Al-Shami, Riku Ala-Laurinaho, Raine Viitala
2026
Ocean Engineering
A perspective on component-level digital twins for surface marine propulsion system health monitoring: need and feasibility
Mihiran Galagedarage Don, Ghazanfar Mehdi, Riku Ala-Laurinaho, Mikko Suominen, Mashrura Musharraf, Osiris A. Valdez Banda, Junhe Lian, Amin Etminan, Ossi Kaario, Sven Bossuyt, Pedro Vilaça
2026
Digital Twin
Model-Based Design of Marine Powertrains : Integrating Coupling Selection with Torsional Analysis
Rohail Malik, Haitham Al-Shami, Riku Ala-Laurinaho, Raine Viitala, Jari Vepsäläinen
2026
Proceedings of the 12th IFToMM International Conference on Rotordynamics - Volume 2
Ontologies for the generic motor winding process
K. S.K.U. Perera, Riku Ala-Laurinaho, Petri Kuosmanen
2026
Advanced Engineering Informatics
AnchorMap : A Multi-Agent Pipeline for Variable Standardisation in Maritime Engineering
Saad Ahmed Rana, Haitham Al-Shami, Riku Ala-Laurinaho, Chao Yang, Raine Viitala
2026
40th ECMS International Conference on Modelling and Simulation, ECMS 2026
Paradigm shift in mechanical system design : toward automated and collaborative design with digital twin web
Riku Ala-Laurinaho, Juuso Autiosalo, Sampo Laine, Urho Hakonen, Raine Viitala
2025
Software and Systems Modeling
TWINTORSION - OPEN SOURCE PLATFORM FOR EVALUATING TORSIONAL VIBRATION EMPLOYING DIGITAL TWIN WEB
Riku Ala-Laurinaho, Albert Dömötör, Sampo Laine, Raine Viitala
2025
Proceedings of the 39th ECMS International Conference on Modelling and Simulation, ECMS 2025
OpenTorsion : Python library for torsional vibration analysis
Sampo Laine, Urho Hakonen, Eetu Nieminen, Riku Ala-Laurinaho, Raine Viitala
2025
SoftwareX
Interoperability of Digital Twins for automation with digital twin schema
Joel Mattila, Riku Ala-Laurinaho, Juuso Autiosalo, Kari Tammi
2025
IEEE Access
A digital twin-driven industrial context-aware system : A case study of overhead crane operation
Chao Yang, Hao Yu, Yuan Zheng, Lei Feng, Riku Ala-Laurinaho, Kari Tammi
2025
Journal of Manufacturing Systems
