Expertise
Contact person, expertise
Publications
- Multivariate Time-Series Methods with Uncertainty Estimation for Correcting Physics-Based Model: Comparisons and Generalization for Industrial Drilling Process
- Federated Learning and Unlearning as Enablers of Wind Turbine Digital Twins
- Unveiling Urban Mobility Patterns: A Data-Driven Analysis of Public Transit
- Digital Twins in intensive aquaculture — Challenges, opportunities and future prospects Read publication
- MTAD: Multi-Objective Transformer Network for Unsupervised Multi-Sensor Anomaly Detection
- Anomaly detection in multivariate time series of drilling data
- Privacy Re-identification Attacks on Tabular GANs
- Variational Autoencoders for exteroceptive perception in reinforcement learning-based collision avoidance
- Exploring Urban Mobility Trends using Cellular Network Data
- Computationally and Memory-Efficient Robust Predictive Analytics Using Big Data
Other
- Correlation-based outlier detection for ships’ in-service datasets
- Digital Twins in aquaculture: Taking Precision Farming to the next level
- Machine Learning for enhancing Wind Field Resolution in Complex Terrain
- 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