Research Highlights
Digital Twin for Smart Buildings
Real-time thermal zoning, control, and anomaly detection for sustainable facilities.
AI for Autonomous Systems
Safe reinforcement learning and interpretable controllers for autonomy.
Hybrid Analysis & Modeling
Physics-informed ML pipelines merging domain knowledge with data-driven models.
CFD for Wind Energy
High-fidelity simulations and reduced-order models for wind farm optimization.
Data-Driven Urban Mobility
Predictive modeling of transit patterns and active travel under constraints.
Maritime Digital Twins
Situational awareness and MPC-driven autonomy for surface vessels.
Explainable AI in Industry
Transparent ML pipelines for safety-critical operations and compliance.
Physics-Informed ML
PINNs and neural operators tailored to scarce, noisy engineering data.
Journal Articles
Submitted / Under Review
1
Evaluating LLMs as Interpretable Controllers for Dynamical Systems
Submitted
2
arXiv
Hybrid Modeling, Sim-to-Real Reinforcement Learning, and Large Language Model Driven Control for Digital Twins
arXiv
4
arXiv
Localized PCA-Net Neural Operators for Scalable Solution Reconstruction of Elliptic PDEs
arXiv
5
GPS-based spatial activity patterns of four city-bike user groups
Submitted to Journal of Transport Geography
6
A Hybrid Modeling Approach using Downhole Measurements for ECD predictions in Drilling Operations
Submitted
7
Unveiling the Limitations of Transformer Models in Time Series Forecasting
Submitted to Progress in AI
8
SSRN
Societal Cybernetics in Action: Tackling Sick Leave in Correctional Institutions with AI Support
Submitted
9
Unsupervised Leak Detection for Heat Recovery Steam Generators in Combined-Cycle Gas and Steam Turbine Power Plants
Accepted in IEEE Sensors
10
High-Fidelity Dynamic Model-based Unsupervised Fault Detection for Combined Cycle Gas Turbines
In Preparation
11
Quadrotor Autonomy in Cluttered Environments Using Deep Reinforcement Learning and Variational Autoencoders
In Preparation
12
SSRN
Digital Twin Ready Encapsulated Thermal Lab: A Modular System for Remote Thermal Imaging and Condition Monitoring
Submitted to Hardware X
14
arXiv
Digital Twin for Autonomous Surface Vessels: Enabler for Safe Maritime Navigation
Submitted
15
Communication Efficient Digital Twin-Based Federated Anomaly Detection for Industrial IoT
Submitted
16
Predictive maintenance scheduling for stochastic hybrid system: A case study of an offshore wind farm
Submitted to Reliability Engineering & System Safety
2025
17
DOI
ChronoSHAP: Revealing Temporal Patterns in Time Series Forecasting with Transformers and LTSF-Linear models
Knowledge-Based Systems, 331, 114802, 2025
18
DOI
Least-squares projected models for non-intrusive affinization of Reduced Basis Methods
International Journal of Numerical Methods in Engineering, 126, 18, e70127, 2025
19
DOI
Evaluation of Data-Driven Models for Post-Combustion CO₂ Capture: A Comparative Analysis of Accuracy, Robustness and Feasibility
International Journal of Greenhouse Gas Control, 146, 104450, 2025
21
DOI
Leveraging Big Data and AI for Sustainable Urban Mobility Solutions
Urban Science, 9, 301, 2025
22
DOI
Resource-Constrained Dynamic Planning and Model-Free Control in Turbulent Urban Environments
Robotics and Autonomous Systems, 194, 105130, 2025
23
DOI
A differential evolution based approach for short-term predictive maintenance scheduling of an offshore wind turbine
Ocean Engineering, 335, 121507, 2025
24
DOI
A Data-Driven Building Thermal Zoning Algorithm for Digital Twin-Enabled Advanced Control
Energy and Buildings, 336, 115633, 2025
25
DOI
Digital Twin Syncing for Autonomous Surface Vessels Using Reinforcement Learning and Nonlinear Model Predictive Control
Scientific Reports, 15, 9344, 2025
26
DOI
Sustainable Active Travel in Environmentally Challenging Cities: A Systematic Review of Barriers and Strategies
Sustainability, 17(3), 1276, 2025
27
DOI
Sparse Non-Linear Vector Autoregressive Networks for Multivariate Time Series Anomaly Detection
IEEE Signal Processing Letter, 32, 331-335, 2025
28
DOI
Multi-Target Tracking for Autonomous Surface Vessels Using LiDAR and AIS Data Integration
Applied Ocean Research, 154, 104348, 2025
2024
29
DOI
Gearbox pump failure prognosis in offshore wind turbine by an integrated data-driven model
Applied Energy, 380, 124829, 2024
30
DOI
Real-Time Predictive Condition Monitoring Using Multivariate Data
IEEE Transactions on Image Processing, 33, 5703-5714, 2024
31
DOI
Multivariate Time Series Anomaly Detection via Low-Rank and Sparse Decomposition
IEEE Sensor Journal, 24 (21), 2024
33
DOI
Physics-guided federated learning as an enabler for digital twin
Expert System with Applications, 125169, 2024
34
DOI
Enhancing wind field resolution in complex terrain through a knowledge-driven machine learning approach
Engineering Applications of Artificial Intelligence, 137A, 109167, 2024
35
DOI
Modular Control Architecture for Safe Marine Navigation: Reinforcement Learning and Predictive Safety Filters
Artificial Intelligence, 336, 104201, 2024
36
DOI
Correlation-based outlier detection for ships' in-service datasets
Journal of Big Data, 11, 85, 2024
37
DOI
MTAD: Multi-Objective Transformer Network for Unsupervised Multi-Sensor Anomaly Detection
IEEE Sensor Journal, 24, 12, 20254-20265, 2024
38
DOI
Anomaly detection in multivariate time series of drilling data
Geoenergy Science and Engineering, 212778, 2024
39
DOI
Digital twins in intensive aquaculture - Challenges, opportunities and future prospects
Computers and Electronics in Agriculture, 218, 108676, 2024
40
IEEE
CasTGAN: Cascaded Generative Adversarial Network for Realistic Tabular Data Synthesis
IEEE Access, 12, 13213-13232, 2024
41
DOI
PoroTwin: A Digital Twin for a FluidFlower Rig
Transport in Porous Media, 151, 1241–1260, 2024
42
DOI
Enhancing Elasticity Models with Deep Learning: A Novel Corrective Source Term Approach for Accurate Predictions
Applied Soft Computing, 111312, 2024
2023
43
IEEE
A Comparative Study of Sparsity Promoting Techniques in Neural Network for Modeling Non-Linear Dynamics
IEEE Access, 11, 131435-131452, 2023
45
IEEE
Digital Twins in Wind Energy: Emerging Technologies and Industry-Informed Future Directions
IEEE Access, 11, 110762-110795, 2023
46
DOI
An Environmental Disturbances Observer Framework for Autonomous Ships
Ocean Engineering, 285, 115412, 2023
47
DOI
Nested computational fluid dynamic modeling of mean turbulent quantities estimation in complex topography using AROME-SIMRA
Journal of Wind Energy and Industrial Aerodynamics, 240, 105497, 2023
48
DOI
Streamlined Semi-automatic Data Processing Framework for Ship Performance Analysis
International Journal of Naval Architecture and Ocean Engineering, 100550, 2023
49
DOI
Unsupervised Anomaly Detection for IoT-Based Multivariate Time Series: Existing Solutions, Performance Analysis and Future Directions
Sensors, 23(5), 2844, 2023
50
DOI
Artificial Intelligence-Driven Digital Twin of a Modern House Demonstrated in Virtual Reality
IEEE Access, 11, 35035-35058, 2023
51
DOI
Deep learning assisted physics-based modeling of aluminum extraction process
Engineering Applications of Artificial Intelligence, 125 (106623), 2023
52
DOI
Sparse deep neural networks for modeling aluminum electrolysis dynamics
Applied Soft Computing, 134, 109989, 2023
53
DOI
Physics Guided Machine Learning for Variational Multiscale Reduced Order Modeling
SIAM Journal on Scientific Computing, 45(3), 283-313, 2023
54
DOI
Frame-invariant neural network closures for Kraichnan turbulence
Physica A: Statistical Mechanics and its Applications, 609, 128327, 2023
2022
55
DOI
Variational multiscale reinforcement learning for discovering reduced order closure models of nonlinear spatiotemporal transport systems
Scientific Report, 12, 17947, 2022
56
DOI
Combining physics-based and data-driven techniques for reliable hybrid analysis and modeling using the corrective source term approach
Applied Soft Computing, 128, 109533, 2022
57
DOI
Physics guided neural networks for modelling of non-linear dynamics
Neural Networks, 154, 333-345, 2022
58
DOI
Risk-based implementation of COLREGs for autonomous surface vehicles using deep reinforcement learning
Neural Networks, 152, 17-33, 2022
61
DOI
Multi-fidelity information fusion with concatenated neural networks
Scientific Report, 12, 5900, 2022
2021
62
DOI
Deep neural network enabled corrective source term approach to hybrid analysis and modeling
Neural Networks, 146, 181-199, 2021
63
DOI
Self-organising map based framework for investigating accounts suspected of money laundering
Frontiers in Artificial Intelligence, 2021
64
DOI
Nonlinear proper orthogonal decomposition for convection-dominated flows
Physics of Fluids, 33, 121702, 2021
65
DOI
Comparing Deep Reinforcement Learning Algorithms' Ability to Safely Navigate Challenging Waters
Frontiers in Robotics and Artificial Intelligence, 8, 287, 2021
66
DOI
A novel hybrid analysis and modeling approach applied to aluminum electrolysis process
Journal of Process Control, 105, 62-77, 2021
67
DOI
Statistical modeling of Ship's hydrodynamic performance indicator
Applied Ocean Research, 111, 102623, 2021
68
DOI
On closures for reduced order models - a spectrum of first-principle to machine-learned avenues
Physics of Fluids, 33, 091301, 2021
69
DOI
A nonintrusive hybrid neural-physics modeling of incomplete dynamical systems: Lorenz equations
International Journal of Geomathematics, 12, 17, 2021
70
DOI
Model fusion with physics-guided machine learning: projection based reduced order modeling
Physics of Fluids, 33, 067123, 2021 (Editor's Pick)
71
DOI
Hybrid analysis and modeling, eclecticism, and multifidelity computing toward digital twin revolution
GAMM Mitteilungen, 44, e202100007, 2021
73
DOI
A nudged hybrid analysis and modeling approach for realtime wake-vortex transport and decay prediction
Computers and Fluids, 221, 104895, 2021
74
DOI
Applying object detection to marine data and exploring explainability of a fully convolutional neural network using principal component analysis
Ecological Informatics, 62, 101269, 2021
75
DOI
Multifidelity computing for coupling full and reduced order models
PLOS ONE, 16(2), e0246092, 2021
76
DOI
Deep reinforcement learning controller for 3D path following and collision avoidance by autonomous underwater vehicles
Frontiers in Robotics and AI, 7, 566037, 2021
77
DOI
Physics guided machine learning using simplified theories
Physics of Fluids, 33, 011701, 2021
2020
78
DOI
Interface learning of multiphysics and multiscale systems
Physical Review E, 102, 053304, 2020
79
DOI
Forward sensitivity approach for estimating eddy viscosity closures in nonlinear model reduction
Physical Review E, 102, 043302, 2020
80
IEEE
COLREG-Compliant Collision Avoidance for Unmanned Surface Vehicle using Deep Reinforcement Learning
IEEE Access, 8, 165344-165364, 2020
81
DOI
Long short-term memory embedded nudging schemes for nonlinear data assimilation of geophysical flows
Physics of Fluids, 32, 076606, 2020
82
DOI
An evolve-then-correct reduced order model for hidden fluid dynamics
Mathematics, 8(4), 570, 2020
83
DOI
A long short-term memory embedding for hybrid uplifted reduced order models
Physica D: Nonlinear Phenomena, 409, 132471, 2020
84
DOI
Data-driven recovery of hidden physics in reduced order modeling of fluid flows
Physics of Fluids, 32, 036602, 2020
85
IEEE
Taming an autonomous surface vehicle for path following and collision avoidance using deep reinforcement learning
IEEE Access, 8, 41466-41481, 2020
86
IEEE
Digital twin: values, challenges and enablers from a modeling perspective
IEEE Access, 8, 21980-22012, 2020
87
DOI
A priori analysis on deep learning of subgrid-scale parameterizations for Kraichnan turbulence
Theoretical and Computational Fluid Dynamics, 34, 429-455, 2020
88
DOI
Feature engineering and symbolic regression methods for detecting hidden physics from sparse sensor observation data
Physics of Fluids, 32, 015113, 2020 (Editor's Pick)
89
DOI
Numerical assessment of RANS turbulence models for the development of data driven reduced order models
Ocean Engineering, 196, 106799, 2020
2019
90
DOI
Memory embedded non-intrusive reduced order modeling of non-ergodic flows
Physics of Fluids, 31, 126602, 2019
91
DOI
Nonintrusive reduced order modeling framework for quasigeostrophic turbulence
Physical Review E, 100, 053306, 2019
92
DOI
A deep learning enabler for non-intrusive reduced order modeling of fluid flows
Physics of Fluids, 31, 085101, 2019 (Featured Article)
93
DOI
Sub-grid modelling for two-dimensional turbulence using neural networks
Journal of Fluid Mechanics, 858, 122-144, 2019
94
DOI
Validation of the numerical simulations of flow around a scaled-down turbine using experimental data from wind tunnel
Wind and Structures, 29, 405–416, 2019
95
DOI
Finite Volume high-fidelity simulation combined with finite-element-based reduced order modeling of incompressible flow problems
Energies, 12, 1271, 2019
96
DOI
Fast divergence-conforming reduced basis methods for steady Navier–Stokes flow
Computer Methods in Applied Mechanics and Engineering, 346, 486–512, 2019
97
DOI
Numerical investigation of modeling frameworks and geometric approximations on NREL 5MW wind turbine
Renewable Energy, 132, 1058–1075, 2019
2018
98
DOI
Data-driven deconvolution for large eddy simulations of Kraichnan turbulence
Physics of Fluids, 30, 125109, 2018
99
DOI
A hybrid approach for model order reduction of barotropic quasi-geostrophic turbulence
Fluids, 3(4), 86, 2018
100
DOI
A hybrid analytics paradigm combining physics-based modeling and data-driven modeling to accelerate incompressible flow solvers
Fluids, 3(3), 50, 2018
2014-2016
101
DOI
Numerical benchmarking of fluid–structure interaction: An isogeometric finite element approach
Ocean Engineering, 124, 324–339, 2016
102
DOI
Simulation of airflow past a 2D NACA0015 airfoil using an isogeometric incompressible Navier–Stokes solver with the Spalart–Allmaras turbulence model
Computer Methods in Applied Mechanics and Engineering, 290, 183–208, 2015
103
DOI
Implementation and comparison of three isogeometric Navier–Stokes solvers applied to simulation of flow past a fixed 2D NACA0012 airfoil at high Reynolds number
Computer Methods in Applied Mechanics and Engineering, 284, 664–688, 2014
104
DOI
Numerical analysis of the flying condition at the Alta airport, Norway
Aviation, 18, 109–119, 2014
2011-2013
105
DOI
CFD Analysis of terrain induced turbulence at Kristiansand airport, kjevik
Aviation, 17, 104–112, 2013
106
DOI
Characterization of dispersive fluxes in mesoscale models using les of flow over an array of cubes
International Journal of Atmospheric Sciences, 17, 898095, 2013
107
DOI
Representing complexities in urban geometry in mesoscale modeling
International Journal of Climatology, 31, 289–301, 2011
Conference Papers
108
Adaptive sampling using variational autoencoder and reinforcement learning
Conference Proceeding
110
Link
Digital Twin Knowledge Distillation for Federated Semi-Supervised Industrial IoT DDoS Detection
2025 IEEE Symposium on Computational Intelligence in Security, Defence and Biometrics Companion (CISDB Companion), Trondheim, Norway, 2025
111
Link
Digital Twin-Based Federated Transfer Learning for Anomaly Detection in Industrial IoT
2025 IEEE Symposium on Computational Intelligence on Engineering/Cyber Physical Systems (CIES), Trondheim, Norway, 2025
112
Link
Autoregressive Density Estimation Transformers for Multivariate Time Series Anomaly Detection
ICASSP 2025 - IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Hyderabad, India, 2025
113
Link
An XAI Approach on the Capacity of Transformers to Learn Time Dependencies in Time Series Forecasting
EXPLAINABILITY 2024: The First International Conference on Systems Explainability, 2024
114
DOI
Online Parameter Calibration in Drilling Hydraulics Model
GOTECH, Dubai City, UAE, April 2025
115
DOI
Digital Twin of Autonomous Surface Vessels for Safe Maritime Navigation Enabled Through Predictive Modeling and Reinforcement Learning
Proceedings of the ASME 2024 43rd International Conference on Ocean, Offshore and Arctic Engineering. Singapore, June 9–14, 2024.
116
DOI
Diagnostic Digital Twin for Anomaly Detection in Floating Offshore Wind Energy
Proceedings of the ASME 2024 43rd International Conference on Ocean, Offshore and Arctic Engineering. Singapore, June 9–14, 2024.
117
DOI
Variational Autoencoders for Exteroceptive Perception in Reinforcement Learning-Based Collision Avoidance
Proceedings of the ASME 2024 43rd International Conference on Ocean, Offshore and Arctic Engineering. Singapore, June 9–14, 2024.
118
DOI
Digital Twin for Wind Energy: Latest Updates From the NorthWind Project
Proceedings of the ASME 2024 43rd International Conference on Ocean, Offshore and Arctic Engineering. Singapore, June 9–14, 2024.
119
Link
Multivariate Time-Series Methods with Uncertainty Estimation for Correcting Physics-Based Model: Comparisons and Generalization for Industrial Drilling Process
In: AIAI 2024. IFIP Advances in Information and Communication Technology, vol 713. Springer, Cham.
120
Link
Self-Supervised Modular Architecture for Multi-Sensor Anomaly Detection and Localization
2024 IEEE Conference on Artificial Intelligence (CAI), Singapore, 2024
121
Exploring Urban Mobility Trends using Cellular Network Data
NetZero 2024
122
Autoregressive Density Estimation Transformers for Self-Supervised Anomaly Detection of Multivariate Time Series
Conference Proceeding
123
Link
Unveiling Urban Mobility Patterns: A Data-Driven Analysis of Public Transit
2024 ICCAD, Paris, France, 2024
124
Link
Nonlinear Model Predictive Control for Enhanced Navigation of Autonomous Surface Vessels
IFAC-PapersOnLine, 58(18), 2024
125
Link
Federated Learning as Enablers of Wind Turbine Digital Twins
Journal of Physics Conference Series 2767, 052031, 2024
126
DOI
A Digital Twin for Reservoir Simulation
SPE Norway Subsurface Conference, Bergen, Norway, April 2024
127
Link
Computationally and Memory-Efficient Robust Predictive Analytics Using Big Data
IEEE Conference on Artificial Intelligence, Singapore, 2024
128
Link
Sparse Neural Networks with Skip-Connections for Identification of Aluminum Electrolysis Cell
62nd IEEE CDC, Singapore, 2023
129
Link
Data Integration Framework for Virtual Reality Enabled Digital Twins
2023 IEEE WF-IoT, Aveiro, Portugal
130
Link
Data-Driven Spatio-Temporal Modelling and Optimal Sensor Placement for a Digital Twin Set-Up
Eng. Proc. 2023, 39, 98
131
DOI
Towards Real-Time Bad Hole Cleaning Problem Detection Through Adaptive Deep Learning Models
Middle East Oil, Gas and Geosciences Show, Manama, Bahrain
132
Statistical Analysis of Offshore Wind Turbine Failures
32nd European Safety and Reliability Conference
133
Link
Standalone, Descriptive, and Predictive Digital Twin of an Onshore Wind Farm in Complex Terrain
Journal of Physics Conference Series, 2626, 012030
134
Link
Regularization when modelling with biased simulation data as a prior
IFAC WC 2023 IFAC-PapersOnLine, 56(2), 4000-4005
135
Link
Risk-based Convolutional Perception Models for Collision Avoidance in Autonomous Marine Surface Vessels using Deep Reinforcement Learning
IFAC-PapersOnLine, 56(2), 10033-10038, 2023
136
DOI
Modular Collision Avoidance Using Predictive Safety Filters
ASME OMAE 2023, Melbourne, Australia
137
DOI
Digital Twin for Autonomous Surface Vessels to Generate Situational Awareness
ASME OMAE 2023, Melbourne, Australia
138
DOI
Demonstration of a Standalone, Descriptive, and Predictive Digital Twin of a Floating Offshore Wind Turbine
ASME OMAE 2023, Melbourne, Australia
139
DOI
A Hybrid Approach to Detect Bad Hole Cleaning
ASME OMAE 2023, Volume 9: Offshore Geotechnics; Petroleum Technology
140
DOI
An Intrusive Hybrid-Analytics and Modelling Approach Involving Deep-learning for Efficient and Accurate Predictions of Hole-cleaning Process During the Wellbore Drilling Simulations
SPE EuropEC / EAGE Annual Conference & Exhibition
141
Link
Machine Learning for Capacity Utilization Along the Routes of an Urban Freight Service
INTAP 2021 / Communications in Computer and Information Science, 2022
143
Link
A Review of Failure Prognostics for Predictive Maintenance of Offshore Wind Turbines
Journal of Physics Conference Series, 2022
144
Link
Hybrid deep-learning POD-based parametric reduced order model for flow around wind-turbine blade
Journal of Physics: Conference Series, 2022
145
Link
Unsupervised Clustering of Marine Vessel Trajectories in Historical AIS Database
25th Intl. Conference on Information Fusion (FUSION), 2022
146
Link
Wienerization of Systems in Nonlinear Control Canonical Normal Form
IEEE CDC, Cancun, Mexico, 2022
147
Link
A Receding-Horizon Estimation and Control Framework for the Content Sequencing Problem
European Control Conference (ECC), 2022
148
Link
A Receding Horizon Approach for Curriculum Management in Higher Education
13th IFAC Symposium on Advances in Control Education, 2022
149
Link
Hybrid Analysis and Modeling for Next Generation of Digital Twins
Journal of Physics: Conference Series, 2018(1):012031 (published 2021)
150
Link
A Non-Intrusive Parametric Reduced Order Model for Urban Wind Flow Using Deep Learning and Grassmann Manifold
Journal of Physics: Conference Series, 2018(1):012038 (published 2021)
151
Link
A Nested Multi-Scale Model for Assessing Urban Wind Conditions
Journal of Physics: Conference Series, 2018(1):012039 (published 2021)
152
Link
Reduced Order Models for Finite-Volume Simulations of Turbulent Flow Around Wind-Turbine Blades
Journal of Physics: Conference Series, 2018(1):012042 (published 2021)
153
Link
Machine Learning with Subsequent Physics-Based Analytics for Guiding Transport Planning
ICAPAI 2021
154
DOI
Reduced Order Modeling of Fluid Flows: Machine Learning, Kolmogorov Barrier, Closure Modeling, and Partitioning
AIAA AVIATION 2020
155
Link
Fast Divergence-Conforming Reduced Basis Methods for Stationary and Transient Flow Problems
Journal of Physics Conference Series, 1669:012031, 2020
156
Link
GANs Enabled Super-Resolution Reconstruction of Wind Field
Journal of Physics Conference Series, 1669:012029, 2020 (Best poster award)
157
Link
High Fidelity Computational Fluid Dynamics Assessment of Wind Tunnel Turbine Test
Journal of Physics: Conference Series, 1356:012044, 2019
158
Link
High Resolution CFD Modelling and Prediction of Terrain Induced Wind Shear and Turbulence for Aviation Safety
MekIT'19 / CIMNE, 2019
159
Link
Hybrid Analysis and Modeling as an Enabler for Big Data Cybernetics
32nd Nordic Seminar on Computational Mechanics, 2019
160
Link
A Computational Framework Involving CFD and Data Mining Tools for Analyzing Disease in Carotid Artery Bifurcation
Progress in Applied CFD – CFD2017, 2017
161
DOI
Numerical Modeling Framework for Wind Turbine Analysis & Atmospheric Boundary Layer Interaction
AIAA 2017-1162. 35th Wind Energy Symposium, 2017
162
Link
Influence of Tip Speed Ratio on Wake Flow Characteristics Utilizing Fully Resolved CFD Methodology
Journal of Physics: Conference Series, 854:012043, 2017
163
Link
Near Wake Region of an Industrial Scale Wind Turbine: Comparing LES-ALM with LES-SMI Simulations Using Data Mining (POD)
Journal of Physics: Conference Series, 854:012044, 2017
164
DOI
Big Data Analytics as a Tool to Monitor Hydrodynamic Performance of a Ship
ASME OMAE 2019, Volume 7A: Ocean Engineering
165
DOI
A Step Towards a Reduced Order Modelling of Flow Characterized by Wakes Using Proper Orthogonal Decomposition
ASME OMAE 2017, Trondheim, Norway
166
DOI
A Step Towards Reduced Order Modelling of Flow Characterized by Wakes Using Proper Orthogonal Decomposition (Energy Procedia)
Energy Procedia, 137:452–459, 2017
167
DOI
On Interactions Between Wind Turbines and the Marine Boundary Layer
ASME OMAE 2017, Volume 10: Ocean Renewable Energy
168
DOI
Analysis of Unsteady Hydrodynamics Related to Vortex Induced Vibrations on Bluff-Bodied Offshore Structure
ASME OMAE 2017, Volume 2
169
DOI
Effect of Uni- and Bi-Directional Coupling of Ocean-Met Interaction on Significant Wave Height and Local Wind
ASME OMAE 2017, Volume 7B: Ocean Engineering
170
DOI
Wind Farm Modeling in a Realistic Environment Using a Multiscale Approach
ASME OMAE 2017, Volume 10: Ocean Renewable Energy
171
DOI
Demonstrating the Impact of Bidirectional Coupling on the Performance of an Ocean-Met Model
Energy Procedia, 137:443–451, 2017
172
DOI
Industrial Scale Turbine and Associated Wake Development Comparison of RANS Based Actuator Line vs Sliding Mesh Interface vs Multiple Reference Frame Method
Energy Procedia, 137:487–496, 2017
173
DOI
A Full-Scale 3D Vs 2.5D Vs 2D Analysis of Flow Pattern and Forces for an Industrial-Scale 5MW NREL Reference Wind-Turbine
Energy Procedia, 137:477–486, 2017
174
DOI
Quasi-Static & Dynamic Numerical Modeling of Full Scale NREL 5MW Wind Turbine
Energy Procedia, 137:460–467, 2017
175
DOI
Methodology for Assessing Cycling Comfort During a Smart City Development
CISBAT 2017 / Energy Procedia, 122:361–366, 2017
176
Flow Characterization in Complex Terrain
International Journal of Aerospace and Mechanical Engineering, 2016
177
Link
Wake Modeling in Complex Terrain Using a Hybrid Eulerian-Lagrangian Split Solver
Journal of Physics: Conference Series, 753:082031, 2016
178
Link
Numerical Analysis of NREL 5MW Wind Turbine: A Study Towards a Better Understanding of Wake Characteristic and Torque Generation Mechanism
Journal of Physics: Conference Series, 753:032059, 2016
179
Link
Analyzing Complex Wake-Terrain Interactions and its Implications on Wind-Farm Performance
Journal of Physics: Conference Series, 753:032063, 2016
180
Link
LES and RANS Simulation of Onshore Bessaker Wind Farm: Analysing Terrain and Wake Effects on Wind Farm Performance
Journal of Physics: Conference Series, 625:012032, 2015
181
DOI
Isogeometric Methods for CFD and FSI-Simulation of Flow Around Turbine Blades
Energy Procedia, 80:442–449, 2015
183
DOI
Effect of Turbulence Intensity on the Performance of an Offshore Vertical Axis Wind Turbine
Energy Procedia, 80:312–320, 2015
184
DOI
Investigation of the Impact of Wakes and Stratification on the Performance of an Onshore Wind Farm
Energy Procedia, 80:302–311, 2015
185
Spline-Based Mesh Generator for Wind Turbine Blades
27th Nordic Seminar on Computational Mechanics, 2014
186
A Hybrid Numerical and Statistical Model for Wind Power Forecasting
Grand Renewable Energy 2014
187
DOI
A Multiscale Wind and Power Forecast System for Wind Farms
Energy Procedia, 53:290–299, 2014
188
DOI
A Comprehensive Simulation Methodology for Fluid-Structure Interaction of Offshore Wind Turbines
Energy Procedia, 53:135–145, 2014
189
Link
Downscaling as a Way to Predict Hazardous Conditions for Aviation Activities
SESAR Innovation Day, 2013
190
DOI
A Multiscale Approach to Micrositing of Wind Turbines
Energy Procedia, 14:1458–1463, 2012 (ICAEE)
191
Link
On the Effects of Complex Urban Geometries on Mesoscale Modeling
Intl. Symposium on Computational Wind Engineering, 2010
192
Resource Flow Modeling for Urban Sustainability
CISBAT 2009, Lausanne, Switzerland
193
Link
On the Effects of Complex Urban Geometries on Mesoscale Modeling (extended abstract)
Intl. Conference on Urban Climate, Yokohama, Japan, 2009
194
A New Urban Canopy Model
Intl. Conference on Urban Climate, Yokohama, Japan, 2009
195
Link
Multiscale Modeling of Urban Climate
11th Intl. IBPSA Conference: Building Simulation, Glasgow, UK, 2009
196
Link
Citysim: Comprehensive Micro Simulation of Resource Flows for Sustainable Urban Planning
11th Intl. IBPSA Conference: Building Simulation, Glasgow, UK, 2009
197
On the Sensitivity of Building Performance to the Urban Heat Island Effect
CISBAT, Lausanne, Switzerland, 2007
Books & Chapters
B1
Multiscale Wind Modeling
International Center for Numerical Methods in Engineering (CIMNE), 2014
ISBN: 978-84-941686-6-6
B2
The Urban Climate, Computer Modeling for Sustainable Urban Design, Physical Principles, Methods and Applications
Earthscan Publishing
ISBN: 978-1-84407-679-6
Technical Reports
R1
Machine Learning based investigation of influence of weather on transport mobility
SINTEF Report
R2
Evaluating the terrain induced wind and turbulence conditions at airports
SINTEF Report (Multiple airports)