Expertise
Contact person, expertise
Publications
- Enhancing elasticity models with deep learning: A novel corrective source term approach for accurate predictions
- CasTGAN: Cascaded Generative Adversarial Network for Realistic Tabular Data Synthesis
- Digital Twins in intensive aquaculture — Challenges, opportunities and future prospects Read publication
- Towards Real-Time Bad Hole Cleaning Problem Detection Through Adaptive Deep Learning Models
- An Intrusive Hybrid-Analytics and Modelling with Deep-Learning for Efficient and Accurate Predictions of Hole-Cleaning Process during Wellbore Drilling Simulations
- Standalone, Descriptive, and Predictive Digital Twin of an Onshore Wind Farm in Complex Terrain
- Data-Driven Spatio-Temporal Modelling and Optimal Sensor Placement for a Digital Twin Set-Up
- Unsupervised Anomaly Detection for IoT-Based Multivariate Time Series: Existing Solutions, Performance Analysis and Future Directions Read publication
- An environmental disturbance observer framework for autonomous surface vessels Read publication
- Demonstration of a Standalone, Descriptive, and Predictive Digital Twin of a Floating Offshore Wind Turbine
Other
- Digital Twins in Wind Energy
- 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
- Data Integration Framework for Virtual Reality Enabled Digital Twins
- Machine Learning for enhancing Wind Field Resolution in Complex Terrain
- Hybrid Analytics and Modellling Applications in Fluid Flow: Case Study - Wind Energy, Drilling, Greenhouse and Urban City.
- Digital Twinning of Autonomous Systems