Expertise
Contact person, expertise
Publications
- Digital Twin for Wind Energy: Latest Updates From the NorthWind Project
- Physics-guided federated learning as an enabler for digital twins
- Digital Twin of Autonomous Surface Vessels for Safe Maritime Navigation Enabled Through Predictive Modeling and Reinforcement Learning
- Variational Autoencoders for Exteroceptive Perception in Reinforcement Learning-Based Collision Avoidance
- Diagnostic Digital Twin for Anomaly Detection in Floating Offshore Wind Energy
- Modular control architecture for safe marine navigation: Reinforcement learning with predictive safety filters
- Self-Supervised Modular Architecture for Multi-Sensor Anomaly Detection and Localization
- MTAD: Multiobjective Transformer Network for Unsupervised Multisensor Anomaly Detection
- Computationally and Memory-Efficient Robust Predictive Analytics Using Big Data
- Diagnostic Digital Twin for Anomaly Detection in Floating Offshore Wind Energy
Other
- Enhancing wind field resolution in complex terrain through a knowledge-driven machine learning approach
- Correlation-based outlier detection for ships’ in-service datasets
- Digital Twins in aquaculture: Taking Precision Farming to the next level
- Digital Twins in Wind Energy
- Data Integration Framework for Virtual Reality Enabled Digital Twins
- Reduced Order Modelling (ROM) and Hybrid Analysis and Modelling (HAM) as Enablers for Predictive Digital Twins (DT)
- PoroTwin: A Digital Twin for a Meter-Scale Porous Medium
- Digital Twin for Autonomous Surface Vessels to Generate Situational Awareness
- PoroTwin: A Digital Twin for a Meter-Scale Porous Media
- Modular Collision Avoidance Using Predictive Safety Filters