Discovering Thermoelectric Materials Using Machine Learning: Insights and Challenges. - Mandar V. Tabib; Ole Martin Løvvik; Kjetil André Johannessen; Adil Rasheed; Espen Sagvolden; Anne Marthine Rustad (ICANN (1), 2018)

A non-intrusive reduced order modeling framework for quasi-geostrophic turbulence. - Sk. Mashfiqur Rahman; Suraj Pawar; Omer San; Adil Rasheed; Traian Iliescu (CoRR, 2019)

Dissecting Deep Neural Networks. - Haakon Robinson; Adil Rasheed; Omer San (CoRR, 2019)

COLREG-Compliant Collision Avoidance for Unmanned Surface Vehicle Using Deep Reinforcement Learning. - Eivind Meyer; Amalie Heiberg; Adil Rasheed; Omer San (IEEE Access, 2020)

Taming an Autonomous Surface Vehicle for Path Following and Collision Avoidance Using Deep Reinforcement Learning. - Eivind Meyer; Haakon Robinson; Adil Rasheed; Omer San (IEEE Access, 2020)

Digital Twin: Values, Challenges and Enablers From a Modeling Perspective. - Adil Rasheed; Omer San; Trond Kvamsdal (IEEE Access, 2020)

Proportional integral derivative controller assisted reinforcement learning for path following by autonomous underwater vehicles. - Simen Theie Havenstrøm; Camilla Sterud; Adil Rasheed; Omer San (CoRR, 2020)

Marine life through You Only Look Once's perspective. - Herman Stavelin; Adil Rasheed; Omer San; Arne Johan Hestnes (CoRR, 2020)

Interface learning of multiphysics and multiscale systems. - Shady E. Ahmed; Omer San; Kursat Kara; Rami M. Younis; Adil Rasheed (CoRR, 2020)

A nudged hybrid analysis and modeling approach for realtime wake-vortex transport and decay prediction. - Shady E. Ahmed; Suraj Pawar; Omer San; Adil Rasheed; Mandar V. Tabib (CoRR, 2020)

On the effectiveness of signal decomposition, feature extraction and selection on lung sound classification. - Andrine Elsetrønning; Adil Rasheed; Jon Bekker; Omer San (CoRR, 2020)

Physics guided machine learning using simplified theories. - Suraj Pawar; Omer San; Burak Aksoylu; Adil Rasheed; Trond Kvamsdal (CoRR, 2020)

Deep Reinforcement Learning Controller for 3D Path Following and Collision Avoidance by Autonomous Underwater Vehicles. - Simen Theie Havenstrøm; Adil Rasheed; Omer San (Frontiers Robotics AI, 2020)

Machine Learning for Capacity Utilization Along the Routes of an Urban Freight Service. - Mandar V. Tabib; Jon Kåre Stene; Adil Rasheed; Ove Langeland; Frants Gundersen (INTAP, 2021)

Geometric Change Detection in Digital Twins using 3D Machine Learning. - Tiril Sundby; Julia Maria Graham; Adil Rasheed; Mandar V. Tabib; Omer San (CoRR, 2021)

Hybrid analysis and modeling, eclecticism, and multifidelity computing toward digital twin revolution. - Omer San; Adil Rasheed; Trond Kvamsdal (CoRR, 2021)

Ship Performance Monitoring using Machine-learning. - Prateek Gupta; Adil Rasheed; Sverre Steen (CoRR, 2021)

Nonlinear proper orthogonal decomposition for convection-dominated flows. - Shady E. Ahmed; Omer San; Adil Rasheed; Traian Iliescu (CoRR, 2021)

Applying object detection to marine data and exploring explainability of a fully convolutional neural network using principal component analysis. - Herman Stavelin; Adil Rasheed; Omer San; Arne Johan Hestnes (Ecol. Informatics, 2021)

Comparing Deep Reinforcement Learning Algorithms' Ability to Safely Navigate Challenging Waters. - Thomas Nakken Larsen; Halvor Ødegård Teigen; Torkel Laache; Damiano Varagnolo; Adil Rasheed (Frontiers Robotics AI, 2021)

Self-Organising Map Based Framework for Investigating Accounts Suspected of Money Laundering. - Abdallah Alshantti; Adil Rasheed (Frontiers Artif. Intell., 2021)

Geometric Change Detection in Digital Twins. - Tiril Sundby; Julia Maria Graham; Adil Rasheed; Mandar V. Tabib; Omer San (Digit., 2021)

Wienerization of systems in nonlinear control canonical normal form. - Hans Alvar Engmark; Håvard Bjørgan Bjørkøy; Adil Rasheed; Damiano Varagnolo (CDC, 2022)

Wienerization Based Control of Nonlinear Systems. - Håvard Bjørgan Bjørkøy; Hans Alvar Engmark; Adil Rasheed; Damiano Varagnolo (ECC, 2022)

A receding-horizon estimation and control framework for the content sequencing problem. - Riccardo Busetto; Thomas Nakken Larsen; Adil Rasheed; Damiano Varagnolo; Simone Formentin (ECC, 2022)

Unsupervised Clustering of Marine Vessel Trajectories in Historical AIS Database. - R. Praveen Jain; Edmund Førland Brekke; Adil Rasheed (FUSION, 2022)

Combining physics-based and data-driven techniques for reliable hybrid analysis and modeling using the corrective source term approach. - Sindre Stenen Blakseth; Adil Rasheed; Trond Kvamsdal; Omer San (Appl. Soft Comput., 2022)

Data Processing Framework for Ship Performance Analysis. - Prateek Gupta; Young-Rong Kim; Sverre Steen; Adil Rasheed (CoRR, 2022)

Decentralized digital twins of complex dynamical systems. - Omer San; Suraj Pawar; Adil Rasheed (CoRR, 2022)

Variational multiscale reinforcement learning for discovering reduced order closure models of nonlinear spatiotemporal transport systems. - Omer San; Suraj Pawar; Adil Rasheed (CoRR, 2022)

Prospects of federated machine learning in fluid dynamics. - Omer San; Suraj Pawar; Adil Rasheed (CoRR, 2022)

A novel corrective-source term approach to modeling unknown physics in aluminum extraction process. - Haakon Robinson; Erlend Lundby; Adil Rasheed; Jan Tommy Gravdahl (CoRR, 2022)

An environmental disturbance observer framework for autonomous ships. - Daniel Menges; Adil Rasheed (CoRR, 2022)

Deep neural network enabled corrective source term approach to hybrid analysis and modeling. - Sindre Stenen Blakseth; Adil Rasheed; Trond Kvamsdal; Omer San (Neural Networks, 2022)

Risk-based implementation of COLREGs for autonomous surface vehicles using deep reinforcement learning. - Amalie Heiberg; Thomas Nakken Larsen; Eivind Meyer; Adil Rasheed; Omer San; Damiano Varagnolo (Neural Networks, 2022)

Physics guided neural networks for modelling of non-linear dynamics. - Haakon Robinson; Suraj Pawar; Adil Rasheed; Omer San (Neural Networks, 2022)

Sparse Neural Networks with Skip-Connections for Identification of Aluminum Electrolysis Cell. - Erlend Torje Berg Lundby; Haakon Robinson; Adil Rasheed; Ivar Johan Halvorsen; Jan Tommy Gravdahl (CDC, 2023)

Data Integration Framework for Virtual Reality Enabled Digital Twins. - Florian Stadtmann; Hary Pirajan Mahalingam; Adil Rasheed (WF-IoT, 2023)

Artificial Intelligence-Driven Digital Twin of a Modern House Demonstrated in Virtual Reality. - Elias Mohammed Elfarri; Adil Rasheed; Omer San (IEEE Access, 2023)

A Comparative Study of Sparsity Promoting Techniques in Neural Network for Modeling Non-Linear Dynamics. - Emil Johannesen Haugstvedt; Alberto Miño Calero; Erlend Torje Berg Lundby; Adil Rasheed; Jan Tommy Gravdahl (IEEE Access, 2023)

Digital Twins in Wind Energy: Emerging Technologies and Industry-Informed Future Directions. - Florian Stadtmann; Adil Rasheed; Trond Kvamsdal; Kjetil André Johannessen; Omer San; Konstanze Kölle; John Olav Giæver Tande; Idar Barstad; Alexis Benhamou; Thomas Brathaug; Tore Christiansen; Anouk-Letizia Firle; et al. (IEEE Access, 2023)

Sparse neural networks with skip-connections for nonlinear system identification. - Erlend Torje Berg Lundby; Haakon Robinson; Adil Rasheed; Ivar Johan Halvorsen; Jan Tommy Gravdahl (CoRR, 2023)

Deep active learning for nonlinear system identification. - Erlend Torje Berg Lundby; Adil Rasheed; Ivar Johan Halvorsen; Dirk Reinhardt; Sebastien Gros; Jan Tommy Gravdahl (CoRR, 2023)

Digital Twins in Wind Energy: Emerging Technologies and Industry-Informed Future Directions. - Florian Stadtmann; Adil Rasheed; Trond Kvamsdal; Kjetil André Johannessen; Omer San; Konstanze Kölle; John Olav Giæver Tande; Idar Barstad; Alexis Benhamou; Thomas Brathaug; Tore Christiansen; Anouk-Letizia Firle; et al. (CoRR, 2023)

Machine Learning for enhancing Wind Field Resolution in Complex Terrain. - Jacob Wulff Wold; Florian Stadtmann; Adil Rasheed; Mandar V. Tabib; Omer San; Jan-Tore Horn (CoRR, 2023)

Enhancing Elasticity Models: A Novel Corrective Source Term Approach for Accurate Predictions. - Sondre Sørbø; Sindre Stenen Blakseth; Adil Rasheed; Trond Kvamsdal; Omer San (CoRR, 2023)

Modular Control Architecture for Safe Marine Navigation: Reinforcement Learning and Predictive Safety Filters. - Aksel Vaaler; Svein Jostein Husa; Daniel Menges; Thomas Nakken Larsen; Adil Rasheed (CoRR, 2023)

Deep learning assisted physics-based modeling of aluminum extraction process. - Haakon Robinson; Erlend Lundby; Adil Rasheed; Jan Tommy Gravdahl (Eng. Appl. Artif. Intell., 2023)

Sparse deep neural networks for modeling aluminum electrolysis dynamics. - Erlend Torje Berg Lundby; Adil Rasheed; Jan Tommy Gravdahl; Ivar Johan Halvorsen (Appl. Soft Comput., 2023)

Unsupervised Anomaly Detection for IoT-Based Multivariate Time Series: Existing Solutions, Performance Analysis and Future Directions. - Mohammed Ayalew Belay; Sindre Stenen Blakseth; Adil Rasheed; Pierluigi Salvo Rossi (Sensors, 2023)

Physics Guided Machine Learning for Variational Multiscale Reduced Order Modeling. - Shady E. Ahmed; Omer San; Adil Rasheed; Traian Iliescu; Alessandro Veneziani (SIAM J. Sci. Comput., 2023)

Unveiling Urban Mobility Patterns: A Data-Driven Analysis of Public Transit. - Oluwaleke Yusuf; Adil Rasheed; Frank Lindseth; Martin Slaastuen (ICCAD, 2024)

Multivariate Time-Series Methods with Uncertainty Estimation for Correcting Physics-Based Model: Comparisons and Generalization for Industrial Drilling Process. - Mandar V. Tabib; Adil Rasheed (AIAI (3), 2024)

CasTGAN: Cascaded Generative Adversarial Network for Realistic Tabular Data Synthesis. - Abdallah Alshantti; Damiano Varagnolo; Adil Rasheed; Aria Rahmati; Frank Westad (IEEE Access, 2024)

Modular control architecture for safe marine navigation: Reinforcement learning with predictive safety filters. - Aksel Vaaler; Svein Jostein Husa; Daniel Menges; Thomas Nakken Larsen; Adil Rasheed (Artif. Intell., 2024)

Enhancing elasticity models with deep learning: A novel corrective source term approach for accurate predictions. - Sondre Sørbø; Sindre Stenen Blakseth; Adil Rasheed; Trond Kvamsdal; Omer San (Appl. Soft Comput., 2024)

Digital Twins in intensive aquaculture - Challenges, opportunities and future prospects. - Martin Føre; Morten Omholt Alver; Jo Arve Alfredsen; Adil Rasheed; Thor Hukkelås; Hans V. Bjelland; Biao Su; Sveinung Johan Ohrem; Eleni Kelasidi; Tomas Norton; Nikos Papandroulakis (Comput. Electron. Agric., 2024)

Digital Twin for Autonomous Surface Vessels for Safe Maritime Navigation. - Daniel Menges; Andreas Von Brandis; Adil Rasheed (CoRR, 2024)

Digital Twin for Wind Energy: Latest updates from the NorthWind project. - Adil Rasheed; Florian Stadtmann; Eivind Fonn; Mandar V. Tabib; Vasileios Tsiolakis; Balram Panjwani; Kjetil André Johannessen; Trond Kvamsdal; Omer San; John Olav Giæver Tande; Idar Barstad; Tore Christiansen; et al. (CoRR, 2024)

Nonlinear Model Predictive Control for Enhanced Navigation of Autonomous Surface Vessels. - Daniel Menges; Trym Tengesdal; Adil Rasheed (CoRR, 2024)

Computationally and Memory-Efficient Robust Predictive Analytics Using Big Data. - Daniel Menges; Adil Rasheed (CoRR, 2024)

Variational Autoencoders for exteroceptive perception in reinforcement learning-based collision avoidance. - Thomas Nakken Larsen; Eirik Runde Barlaug; Adil Rasheed (CoRR, 2024)

Exploring Urban Mobility Trends using Cellular Network Data. - Oluwaleke Yusuf; Adil Rasheed; Frank Lindseth (CoRR, 2024)

Diagnostic Digital Twin for Anomaly Detection in Floating Offshore Wind Energy. - Florian Stadtmann; Adil Rasheed (CoRR, 2024)

Digital Twin for Autonomous Surface Vessels: Enabler for Safe Maritime Navigation. - Daniel Menges; Adil Rasheed (CoRR, 2024)

Predictive Digital Twin for Condition Monitoring Using Thermal Imaging. - Daniel Menges; Florian Stadtmann; Henrik Jordheim; Adil Rasheed (CoRR, 2024)

Enhancing wind field resolution in complex terrain through a knowledge-driven machine learning approach. - Jacob Wulff Wold; Florian Stadtmann; Adil Rasheed; Mandar V. Tabib; Omer San; Jan-Tore Horn (Eng. Appl. Artif. Intell., 2024)

Physics-guided federated learning as an enabler for digital twins. - Florian Stadtmann; Erik Rugaard Furevik; Adil Rasheed; Trond Kvamsdal (Expert Syst. Appl., 2024)

Real-Time Predictive Condition Monitoring Using Multivariate Data. - Daniel Menges; Adil Rasheed; Harald Martens; Torbjørn Pedersen (IEEE Trans. Image Process., 2024)

Correlation-based outlier detection for ships' in-service datasets. - Prateek Gupta; Adil Rasheed; Sverre Steen (J. Big Data, 2024)

Autoregressive Density Estimation Transformers for Multivariate Time Series Anomaly Detection. - Mohammed Ayalew Belay; Adil Rasheed; Pierluigi Salvo Rossi (ICASSP, 2025)

Resource-constrained dynamic planning and model-free control in turbulent urban environments. - Thomas Nakken Larsen; Mandar V. Tabib; Adil Rasheed (Robotics Auton. Syst., 2025)

Privacy Re-Identification Attacks on Tabular GANs. - Abdallah Alshantti; Adil Rasheed; Frank Westad (Secur. Priv., 2025)

Sparse Non-Linear Vector Autoregressive Networks for Multivariate Time Series Anomaly Detection. - Mohammed Ayalew Belay; Adil Rasheed; Pierluigi Salvo Rossi (IEEE Signal Process. Lett., 2025)