Research record

Publications

The peer-reviewed record behind the platform: 200+ journal articles and conference papers, plus the doctoral and master’s work through which the methods in Kybernora Analytics were developed and stress-tested. Every entry links to the paper.

JournalAgentic and LLM-Based Multimodal Anomaly Detection: Architectures, Challenges, and ProspectsBelay, M.A., Haghipour, A., Rasheed, A., Rossi, P.↗ JournalCommunication Efficient Digital Twin-Based Federated Anomaly Detection for Industrial IoTBelay, M.A., Rasheed, A., Rossi, P.S.↗ JournalSpatiotemporal Multi-Task Graph Transformer for Trip-Level Transit PredictionYusuf, O., Rasheed, A., Lindseth, F. · 2026↗ JournalComparing Analytical Approaches for Bike Station Expansion: A Location-Allocation StudyWismadi, M.T., Yusuf, O., Rasheed, A., Frøyen, Y.K., Nielsen, T.A.S. · 2026↗ JournalSimilarity-Based Bike Station Expansion via Hybrid Denoising AutoencodersYusuf, O., Wismadi, M.T., Rasheed, A.↗ JournalDocumenting an Annex III Ed-Tech System — Lessons from the Edaptic Technical FileRasheed, A. · SSRN, 2026↗ JournalEvaluating LLMs as Interpretable Controllers for Dynamical SystemsØstensen, A., Calero, A.M., Lekkas, A., Rasheed, A.↗ JournalHybrid Modeling, Sim-to-Real Reinforcement Learning, and Large Language Model Driven Control for Digital TwinsRasheed, A., Raavik, O., San, O.↗ JournalA Hybrid Modeling Approach using Downhole Measurements for ECD Predictions in Drilling OperationsAltindal, M.C., Rasheed, A. · Submitted↗ JournalSocietal Cybernetics in Action: Tackling Sick Leave in Correctional Institutions with AI SupportTafrishi, S., Haarberg, K.J., Rasheed, A., Breivik, M. · Submitted↗ JournalQuadrotor Autonomy in Cluttered Environments Using Deep Reinforcement Learning and Variational AutoencodersBarlaug, E., Fløystad, J.L., Larsen, T.N., Rasheed, A.↗ JournalDigital Twin Ready Encapsulated Thermal Lab: A Modular System for Remote Thermal Imaging and Condition MonitoringJordheim, H., Stadtmann, F., Westad, F., Rasheed, A. · Submitted to HardwareX↗ JournalPredictive Digital Twin for Condition Monitoring Using Thermal ImagingMenges, D., Stadtmann, F., Jordheim, H., Rasheed, A.↗ JournalDigital Twin for Autonomous Surface Vessels: Enabler for Safe Maritime NavigationMenges, D., Rasheed, A. · Submitted↗ JournalThe Evolution of Digital Twins from Reactive to Agentic SystemsSan, O., Rasheed, A., Bozdemir, E., Deng, J. · Nature Computational Science, 6(1), 2026↗ JournalFlow Pattern Prediction of Gas/Liquid Two-Phase Flow over Wide Range of Liquid Viscosity and Inclination Angle using Machine LearningGhasemi, M., Al-Safran, E., Rasheed, A. · Chemical Engineering Research and Design, 228, 2026↗ JournalData-Driven Mixed-Methods Framework for Cybernetic Urban Mobility GovernanceYusuf, O., Breivik, M., Rasheed, A. · Journal of Urban Mobility, 9, 2026↗ JournalLocalized PCA-Net Neural Operators for Scalable Solution Reconstruction of Elliptic PDEsDhingra, M., Maulik, R., Rasheed, A., San, O. · Machine Learning for Computational Science and Engineering, 2, 2026↗ JournalUneven Geographies of Cycling: How Infrastructure and Environment Shape the Behaviours of City-Bike UsersWismadi, M.T., Frøyen, Y.K., Nielsen, T.A.S., Rasheed, A., Åkre, C.B. · Journal of Urban Mobility, 9, 2026↗ JournalUnveiling the Limitations of Transformer Models in Time Series ForecastingCalero, A.M., Rasheed, A., Lekkas, A.M. · Progress in Artificial Intelligence, 2026↗ JournalUnsupervised Leak Detection for Heat Recovery Steam Generators in Combined-Cycle Gas and Steam Turbine Power PlantsBelay, M.A., Bernardino, L.F., Blakseth, S., Rasheed, A., Montsnes, R.M., Rossi, P.S. · IEEE Sensors Journal, 26(1), 2026↗ JournalPredictive Maintenance Scheduling for Stochastic Hybrid System: A Case Study of an Offshore Wind FarmZhang, W., Vatn, J., Rasheed, A. · Reliability Engineering & System Safety, 272, 2026↗ JournalChronoSHAP: Revealing Temporal Patterns in Time Series Forecasting with Transformers and LTSF-Linear ModelsCalero, A.M., Rasheed, A., Lekkas, A.M. · Knowledge-Based Systems, 331, 2025↗ JournalLeast-Squares Projected Models for Non-Intrusive Affinization of Reduced Basis MethodsFonn, E., van Brummelen, H., Eftang, J.L., Rusten, T., Johannessen, K.A., Kvamsdal, T., Rasheed, A. · International Journal for Numerical Methods in Engineering, 126(18), 2025↗ JournalEvaluation of Data-Driven Models for Post-Combustion CO2 Capture: Accuracy, Robustness and FeasibilityFormont, V., Rasheed, A., Moser, P., Wiechers, G., Nord, L.O. · International Journal of Greenhouse Gas Control, 146, 2025↗ JournalData-Driven Predictive Modelling of Public Transit PatternsYusuf, O.U., Rasheed, A., Lindseth, F. · Transportation, 2025↗ JournalLeveraging Big Data and AI for Sustainable Urban Mobility SolutionsYusuf, O.U., Rasheed, A., Lindseth, F. · Urban Science, 9, 2025↗ JournalResource-Constrained Dynamic Planning and Model-Free Control in Turbulent Urban EnvironmentsNakken, T.L., Tabib, M., Rasheed, A. · Robotics and Autonomous Systems, 194, 2025↗ JournalA Differential Evolution Based Approach for Short-Term Predictive Maintenance Scheduling of an Offshore Wind TurbineZhang, W., Vatn, J., Rasheed, A. · Ocean Engineering, 335, 2025↗ JournalA Data-Driven Building Thermal Zoning Algorithm for Digital Twin-Enabled Advanced ControlMorkunaite, L., Rasheed, A., Pupeikis, D., Angelakis, V., Davidsson, T. · Energy and Buildings, 336, 2025↗ JournalDigital Twin Syncing for Autonomous Surface Vessels Using Reinforcement Learning and Nonlinear Model Predictive ControlBerg, H.S., Menges, D., Tengesdal, T., Rasheed, A. · Scientific Reports, 15, 2025↗ JournalSustainable Active Travel in Environmentally Challenging Cities: A Systematic Review of Barriers and StrategiesWismadi, T., Frøyen, Y.K., Rasheed, A. · Sustainability, 17(3), 2025↗ JournalSparse Non-Linear Vector Autoregressive Networks for Multivariate Time Series Anomaly DetectionBelay, M.A., Rasheed, A., Rossi, P.S. · IEEE Signal Processing Letters, 32, 2025↗ JournalMulti-Target Tracking for Autonomous Surface Vessels Using LiDAR and AIS Data Integrationvon Brandis, A., Menges, D., Rasheed, A. · Applied Ocean Research, 154, 2025↗ JournalGearbox Pump Failure Prognosis in Offshore Wind Turbine by an Integrated Data-Driven ModelZhang, W., Vatn, J., Rasheed, A. · Applied Energy, 380, 2024↗ JournalReal-Time Predictive Condition Monitoring Using Multivariate DataMenges, D., Rasheed, A. · IEEE Transactions on Image Processing, 33, 2024↗ JournalMultivariate Time Series Anomaly Detection via Low-Rank and Sparse DecompositionBelay, M.A., Rasheed, A., Rossi, P.S. · IEEE Sensors Journal, 24(21), 2024↗ JournalPrivacy Re-identification Attacks on Tabular GANsAlshantti, A., Rasheed, A., Westad, F. · Security and Privacy, 2024↗ JournalPhysics-Guided Federated Learning as an Enabler for Digital TwinStadtmann, F., Furevik, E., Rasheed, A., Kvamsdal, T. · Expert Systems with Applications, 2024↗ JournalEnhancing Wind Field Resolution in Complex Terrain through a Knowledge-Driven Machine Learning ApproachWold, J.W., Stadtmann, F., Rasheed, A., Tabib, M., San, O., Horn, J. · Engineering Applications of Artificial Intelligence, 137A, 2024↗ JournalModular Control Architecture for Safe Marine Navigation: Reinforcement Learning and Predictive Safety FiltersVaaler, A., Husa, S., Menges, D., Nakken, T.L., Rasheed, A. · Artificial Intelligence, 336, 2024↗ JournalCorrelation-Based Outlier Detection for Ships' In-Service DatasetsGupta, P., Rasheed, A., Steen, S. · Journal of Big Data, 11, 2024↗ JournalMTAD: Multi-Objective Transformer Network for Unsupervised Multi-Sensor Anomaly DetectionBelay, M.A., Rasheed, A., Rossi, P.S. · IEEE Sensors Journal, 24(12), 2024↗ JournalAnomaly Detection in Multivariate Time Series of Drilling DataAltindal, M.C., Nivlet, P., Tabib, M.V., Rasheed, A., Kristiansen, T.G., Khosravanian, R. · Geoenergy Science and Engineering, 2024↗ JournalDigital Twins in Intensive Aquaculture — Challenges, Opportunities and Future ProspectsFøre, M., Alver, M.O., Alfredsen, J.A., Rasheed, A., Hukkelås, T., Bjelland, H.V., Su, B., Ohrem, S.J., Kelasidi, E., Norton, T., Papandroulakis, N. · Computers and Electronics in Agriculture, 218, 2024↗ JournalCasTGAN: Cascaded Generative Adversarial Network for Realistic Tabular Data SynthesisAlshantti, A., Varagnolo, D., Rasheed, A., Rahmati, A., Westad, F. · IEEE Access, 12, 2024↗ JournalPoroTwin: A Digital Twin for a FluidFlower RigKeilegavlen, E., Fonn, E., Johannessen, K., Eikehaug, K., Both, J.W., Fernø, M., Kvamsdal, T., Rasheed, A., Nordbotten, J.M. · Transport in Porous Media, 151, 2024↗ JournalEnhancing Elasticity Models with Deep Learning: A Novel Corrective Source Term Approach for Accurate PredictionsSørbø, S., Blakseth, S.S., Rasheed, A., Kvamsdal, T., San, O. · Applied Soft Computing, 2024↗ JournalA Comparative Study of Sparsity Promoting Techniques in Neural Network for Modeling Non-Linear DynamicsHaugstvedt, E.J., Calero, A.M., Lundby, E.T.B., Rasheed, A., Gravdahl, J.T. · IEEE Access, 11, 2023↗ JournalDecentralized Digital Twins of Complex Dynamical SystemsSan, O., Pawar, S., Rasheed, A. · Scientific Reports, 13, 2023↗ JournalDigital Twins in Wind Energy: Emerging Technologies and Industry-Informed Future DirectionsStadtmann, F., Rasheed, A., Kvamsdal, T., Johannessen, K.A., San, O., Kölle, K., Tande, J.O., et al. · IEEE Access, 11, 2023↗ JournalAn Environmental Disturbances Observer Framework for Autonomous ShipsMenges, D., Rasheed, A. · Ocean Engineering, 285, 2023↗ JournalNested Computational Fluid Dynamic Modeling of Mean Turbulent Quantities Estimation in Complex TopographyMidjiyawa, Z., Venås, J.V., Kvamsdal, T., Kvarving, A.M., Midtbø, K.H., Rasheed, A. · Journal of Wind Engineering and Industrial Aerodynamics, 240, 2023↗ JournalStreamlined Semi-Automatic Data Processing Framework for Ship Performance AnalysisGupta, P., Kim, Y., Steen, S., Rasheed, A. · International Journal of Naval Architecture and Ocean Engineering, 2023↗ JournalUnsupervised Anomaly Detection for IoT-Based Multivariate Time Series: Existing Solutions, Performance Analysis and Future DirectionsBelay, M.A., Blakseth, S.S., Rasheed, A., Salvo Rossi, P. · Sensors, 23(5), 2023↗ JournalArtificial Intelligence-Driven Digital Twin of a Modern House Demonstrated in Virtual RealityElfarri, E.M., Rasheed, A., San, O. · IEEE Access, 11, 2023↗ JournalDeep Learning Assisted Physics-Based Modeling of Aluminum Extraction ProcessRobinson, H., Lundby, E.T.B., Rasheed, A., Gravdahl, J.T. · Engineering Applications of Artificial Intelligence, 125, 2023↗ JournalSparse Deep Neural Networks for Modeling Aluminum Electrolysis DynamicsLundby, E.T.B., Rasheed, A., Gravdahl, J.T., Halvorsen, I.J. · Applied Soft Computing, 134, 2023↗ JournalPhysics Guided Machine Learning for Variational Multiscale Reduced Order ModelingAhmed, S.E., San, O., Rasheed, A., Iliescu, T., Veneziani, A. · SIAM Journal on Scientific Computing, 45(3), 2023↗ JournalFrame-Invariant Neural Network Closures for Kraichnan TurbulencePawar, S., San, O., Rasheed, A. · Physica A, 609, 2023↗ JournalVariational Multiscale Reinforcement Learning for Discovering Reduced Order Closure Models of Nonlinear Spatiotemporal Transport SystemsSan, O., Pawar, S., Rasheed, A. · Scientific Reports, 12, 2022↗ JournalCombining Physics-Based and Data-Driven Techniques for Reliable Hybrid Analysis and Modeling Using the Corrective Source Term ApproachBlakseth, S.S., Rasheed, A., Kvamsdal, T., San, O. · Applied Soft Computing, 128, 2022↗ JournalPhysics Guided Neural Networks for Modelling of Non-Linear DynamicsRobinson, H., Pawar, S., Rasheed, A., San, O. · Neural Networks, 154, 2022↗ JournalRisk-Based Implementation of COLREGs for Autonomous Surface Vehicles Using Deep Reinforcement LearningHeiberg, A., Larsen, T.N., Meyer, E., Rasheed, A., San, O., Varagnolo, D. · Neural Networks, 152, 2022↗ JournalProspects of Federated Machine Learning in Fluid DynamicsSan, O., Pawar, S., Rasheed, A. · AIP Advances, 12, 2022↗ JournalShip Performance Monitoring Using Machine-LearningGupta, P., Rasheed, A., Steen, S. · Ocean Engineering, 254, 2022↗ JournalMulti-Fidelity Information Fusion with Concatenated Neural NetworksPawar, S., San, O., Vedula, P., Rasheed, A., Kvamsdal, T. · Scientific Reports, 12, 2022↗ JournalDeep Neural Network Enabled Corrective Source Term Approach to Hybrid Analysis and ModelingBlakseth, S.S., Rasheed, A., Kvamsdal, T., San, O. · Neural Networks, 146, 2021↗ JournalSelf-Organising Map Based Framework for Investigating Accounts Suspected of Money LaunderingAlshantti, A.A.S., Rasheed, A. · Frontiers in Artificial Intelligence, 2021↗ JournalNonlinear Proper Orthogonal Decomposition for Convection-Dominated FlowsAhmed, S.E., San, O., Rasheed, A., Iliescu, T. · Physics of Fluids, 33, 2021↗ JournalComparing Deep Reinforcement Learning Algorithms' Ability to Safely Navigate Challenging WatersLarsen, T.N., Teigen, H.Ø., Laache, T., Varagnolo, D., Rasheed, A. · Frontiers in Robotics and AI, 8, 2021↗ JournalA Novel Hybrid Analysis and Modeling Approach Applied to Aluminum Electrolysis ProcessLundby, E.T.B., Rasheed, A., Gravdahl, J.T., Halvorsen, I.J. · Journal of Process Control, 105, 2021↗ JournalStatistical Modeling of Ship's Hydrodynamic Performance IndicatorGupta, P., Taskar, B., Steen, S., Rasheed, A. · Applied Ocean Research, 111, 2021↗ JournalOn Closures for Reduced Order Models — A Spectrum of First-Principle to Machine-Learned AvenuesAhmed, S.E., Pawar, S., San, O., Rasheed, A., Iliescu, T., Noack, B. · Physics of Fluids, 33, 2021↗ JournalA Nonintrusive Hybrid Neural-Physics Modeling of Incomplete Dynamical Systems: Lorenz EquationsPawar, S., San, O., Rasheed, A., Navon, I.M. · International Journal of Geomathematics, 12, 2021↗ JournalModel Fusion with Physics-Guided Machine Learning: Projection Based Reduced Order ModelingPawar, S., San, O., Aditya, N., Rasheed, A., Kvamsdal, T. · Physics of Fluids, 33, 2021 (Editor's Pick)↗ JournalHybrid Analysis and Modeling, Eclecticism, and Multifidelity Computing Toward Digital Twin RevolutionSan, O., Rasheed, A., Kvamsdal, T. · GAMM Mitteilungen, 44, 2021↗ JournalGeometric Change Detection in Digital TwinsSundby, T., Graham, J.M., Rasheed, A., Tabib, M., San, O. · Digital, 1(2), 2021↗ JournalA Nudged Hybrid Analysis and Modeling Approach for Realtime Wake-Vortex Transport and Decay PredictionAhmed, S.E., Pawar, S., San, O., Rasheed, A., Tabib, M. · Computers and Fluids, 221, 2021↗ JournalApplying Object Detection to Marine Data and Exploring Explainability of a Fully Convolutional Neural Network Using PCAStavelin, H., Rasheed, A., San, O., Hestnes, A.J. · Ecological Informatics, 62, 2021↗ JournalMultifidelity Computing for Coupling Full and Reduced Order ModelsAhmed, S.E., San, O., Kara, K., Younis, R., Rasheed, A. · PLOS ONE, 16(2), 2021↗ JournalDeep Reinforcement Learning Controller for 3D Path Following and Collision Avoidance by Autonomous Underwater VehiclesHavenstrøm, S.T., Rasheed, A., San, O. · Frontiers in Robotics and AI, 7, 2021↗ JournalPhysics Guided Machine Learning Using Simplified TheoriesPawar, S., San, O., Aksoylu, B., Rasheed, A., Kvamsdal, T. · Physics of Fluids, 33, 2021↗ JournalInterface Learning of Multiphysics and Multiscale SystemsAhmed, S.E., San, O., Kara, K., Younis, R., Rasheed, A. · Physical Review E, 102, 2020↗ JournalForward Sensitivity Approach for Estimating Eddy Viscosity Closures in Nonlinear Model ReductionAhmed, S.E., Bhar, K., San, O., Rasheed, A. · Physical Review E, 102, 2020↗ JournalCOLREG-Compliant Collision Avoidance for Unmanned Surface Vehicle Using Deep Reinforcement LearningMeyer, E., Heiberg, A., Rasheed, A., San, O. · IEEE Access, 8, 2020↗ JournalLong Short-Term Memory Embedded Nudging Schemes for Nonlinear Data Assimilation of Geophysical FlowsPawar, S., Ahmed, S.E., San, O., Rasheed, A., Navon, I.M. · Physics of Fluids, 32, 2020↗ JournalAn Evolve-Then-Correct Reduced Order Model for Hidden Fluid DynamicsPawar, S., Ahmed, S.E., San, O., Rasheed, A. · Mathematics, 8(4), 2020↗ JournalA Long Short-Term Memory Embedding for Hybrid Uplifted Reduced Order ModelsAhmed, S.E., San, O., Rasheed, A., Iliescu, T. · Physica D, 409, 2020↗ JournalData-Driven Recovery of Hidden Physics in Reduced Order Modeling of Fluid FlowsPawar, S., Ahmed, S.E., San, O., Rasheed, A. · Physics of Fluids, 32, 2020↗ JournalTaming an Autonomous Surface Vehicle for Path Following and Collision Avoidance Using Deep Reinforcement LearningMeyer, E., Robinson, H., Rasheed, A., San, O. · IEEE Access, 8, 2020↗ JournalDigital Twin: Values, Challenges and Enablers from a Modeling PerspectiveRasheed, A., San, O., Kvamsdal, T. · IEEE Access, 8, 2020↗ JournalA Priori Analysis on Deep Learning of Subgrid-Scale Parameterizations for Kraichnan TurbulencePawar, S., San, O., Rasheed, A., Vedula, P. · Theoretical and Computational Fluid Dynamics, 34, 2020↗ JournalFeature Engineering and Symbolic Regression Methods for Detecting Hidden Physics from Sparse Sensor Observation DataVaddireddy, H., Rasheed, A., Staples, A.E., San, O. · Physics of Fluids, 32, 2020 (Editor's Pick)↗ JournalNumerical Assessment of RANS Turbulence Models for the Development of Data Driven Reduced Order ModelsSiddiqui, M.S., Rasheed, A., Kvamsdal, T. · Ocean Engineering, 196, 2020↗ JournalMemory Embedded Non-Intrusive Reduced Order Modeling of Non-Ergodic FlowsAhmed, S.E., Rahman, S.M., San, O., Rasheed, A., Navon, I.M. · Physics of Fluids, 31, 2019↗ JournalNonintrusive Reduced Order Modeling Framework for Quasigeostrophic TurbulenceRahman, S.M., Pawar, S., San, O., Rasheed, A., Iliescu, T. · Physical Review E, 100, 2019↗ JournalA Deep Learning Enabler for Non-Intrusive Reduced Order Modeling of Fluid FlowsPawar, S., Rahman, S.M., Vaddireddy, H., San, O., Rasheed, A., Vedula, P. · Physics of Fluids, 31, 2019 (Featured Article)↗ JournalSub-Grid Modelling for Two-Dimensional Turbulence Using Neural NetworksMaulik, R., San, O., Rasheed, A., Vedula, P. · Journal of Fluid Mechanics, 858, 2019↗ JournalValidation of the Numerical Simulations of Flow Around a Scaled-Down Turbine Using Experimental Data from Wind TunnelSiddiqui, M.S., Rasheed, A., Kvamsdal, T. · Wind and Structures, 29, 2019↗ JournalFinite Volume High-Fidelity Simulation Combined with Finite-Element-Based Reduced Order Modeling of Incompressible Flow ProblemsSiddiqui, M.S., Fonn, E., Kvamsdal, T., Rasheed, A. · Energies, 12, 2019↗ JournalFast Divergence-Conforming Reduced Basis Methods for Steady Navier–Stokes FlowFonn, E., van Brummelen, H., Kvamsdal, T., Rasheed, A. · Computer Methods in Applied Mechanics and Engineering, 346, 2019↗ JournalNumerical Investigation of Modeling Frameworks and Geometric Approximations on NREL 5MW Wind TurbineSiddiqui, M.S., Rasheed, A., Tabib, M.V., Kvamsdal, T. · Renewable Energy, 132, 2019↗ JournalData-Driven Deconvolution for Large Eddy Simulations of Kraichnan TurbulenceMaulik, R., San, O., Rasheed, A., Vedula, P. · Physics of Fluids, 30, 2018↗ JournalA Hybrid Approach for Model Order Reduction of Barotropic Quasi-Geostrophic TurbulenceRahman, S.M., San, O., Rasheed, A. · Fluids, 3(4), 2018↗ JournalA Hybrid Analytics Paradigm Combining Physics-Based Modeling and Data-Driven Modeling to Accelerate Incompressible Flow SolversRahman, S.M., Rasheed, A., San, O. · Fluids, 3(3), 2018↗ JournalNumerical Benchmarking of Fluid–Structure Interaction: An Isogeometric Finite Element ApproachNordanger, K., Rasheed, A., Okstad, K.M., Kvarving, A.M., Holdahl, R., Kvamsdal, T. · Ocean Engineering, 124, 2016↗ JournalSimulation of Airflow Past a 2D NACA0015 Airfoil Using an Isogeometric Incompressible Navier–Stokes Solver with the Spalart–Allmaras Turbulence ModelNordanger, K., Holdahl, R., Kvarving, A.M., Kvamsdal, T., Rasheed, A. · Computer Methods in Applied Mechanics and Engineering, 290, 2015↗ JournalImplementation and Comparison of Three Isogeometric Navier–Stokes Solvers Applied to Simulation of Flow Past a Fixed 2D NACA0012 Airfoil at High Reynolds NumberNordanger, K., Holdahl, R., Kvarving, A.M., Rasheed, A., Kvamsdal, T. · Computer Methods in Applied Mechanics and Engineering, 284, 2014↗ JournalNumerical Analysis of the Flying Condition at the Alta Airport, NorwayRasheed, A., Mushtaq, A. · Aviation, 18, 2014↗ JournalCFD Analysis of Terrain Induced Turbulence at Kristiansand Airport, KjevikRasheed, A., Sørli, K. · Aviation, 17, 2013↗ JournalCharacterization of Dispersive Fluxes in Mesoscale Models Using LES of Flow over an Array of CubesRasheed, A., Robinson, D. · International Journal of Atmospheric Sciences, 2013↗ JournalRepresenting Complexities in Urban Geometry in Mesoscale ModelingRasheed, A., Robinson, D., Clappier, A., Narayanan, C., Lakehal, D. · International Journal of Climatology, 31, 2011↗
ConferenceAdaptive Sampling Using Variational Autoencoder and Reinforcement LearningRasheed, A., Shahly, M.A.J., Aftab, M.F.↗ ConferenceLarge Language Models for ControlRasheed, A., Raavik, O., San, O.↗ ConferenceDigital Twin Knowledge Distillation for Federated Semi-Supervised Industrial IoT DDoS DetectionBelay, M.A., Rasheed, A., Rossi, P.S. · IEEE CISDB Companion, 2025↗ ConferenceDigital Twin-Based Federated Transfer Learning for Anomaly Detection in Industrial IoTBelay, M.A., Rasheed, A., Rossi, P.S. · IEEE CIES, 2025↗ ConferenceAutoregressive Density Estimation Transformers for Multivariate Time Series Anomaly DetectionBelay, M.A., Rasheed, A., Rossi, P.S. · IEEE ICASSP, 2025↗ ConferenceAn XAI Approach on the Capacity of Transformers to Learn Time Dependencies in Time Series ForecastingCalero, A.M., Rasheed, A., Lekkas, A. · EXPLAINABILITY 2024↗ ConferenceOnline Parameter Calibration in Drilling Hydraulics ModelAltindal, M.C., Rasheed, A., Tabib, M., Nybø, R. · GOTECH, 2025↗ ConferenceDigital Twin of Autonomous Surface Vessels for Safe Maritime Navigation Enabled Through Predictive Modeling and Reinforcement LearningMenges, D., von Brandis, A., Rasheed, A. · ASME OMAE, 2024↗ ConferenceDiagnostic Digital Twin for Anomaly Detection in Floating Offshore Wind EnergyStadtmann, F., Rasheed, A. · ASME OMAE, 2024↗ ConferenceVariational Autoencoders for Exteroceptive Perception in Reinforcement Learning-Based Collision AvoidanceLarsen, T.N., Barlaug, E.R., Rasheed, A. · ASME OMAE, 2024↗ ConferenceDigital Twin for Wind Energy: Latest Updates from the NorthWind ProjectRasheed, A., Stadtmann, F., Fonn, E., Tabib, M., Tsiolakis, V., Panjwani, B., et al. · ASME OMAE, 2024↗ ConferenceMultivariate Time-Series Methods with Uncertainty Estimation for Correcting Physics-Based ModelTabib, M.V., Rasheed, A. · AIAI 2024, Springer↗ ConferenceSelf-Supervised Modular Architecture for Multi-Sensor Anomaly Detection and LocalizationBelay, M.A., Rasheed, A., Rossi, P.S. · IEEE CAI, 2024↗ ConferenceExploring Urban Mobility Trends Using Cellular Network DataYusuf, O.U., Rasheed, A., Lindseth, F. · NetZero, 2024↗ ConferenceAutoregressive Density Estimation Transformers for Self-Supervised Anomaly Detection of Multivariate Time SeriesBelay, M.A., Rasheed, A., Rossi, P.S.↗ ConferenceUnveiling Urban Mobility Patterns: A Data-Driven Analysis of Public TransitYusuf, O.U., Rasheed, A., Lindseth, F. · ICCAD, 2024↗ ConferenceNonlinear Model Predictive Control for Enhanced Navigation of Autonomous Surface VesselsMenges, D., Tengesdal, T., Rasheed, A. · IFAC-PapersOnLine, 58(18), 2024↗ ConferenceFederated Learning as Enablers of Wind Turbine Digital TwinsStadtmann, F., Rasheed, A. · Journal of Physics: Conference Series, 2767, 2024↗ ConferenceA Digital Twin for Reservoir SimulationKeilegavlen, E., Fonn, E., Johannessen, K., Tegnander, T., Eikehaug, K., Both, J.W., Fernø, M.A., Kvamsdal, T., Rasheed, A., et al. · SPE Norway Subsurface Conference, 2024↗ ConferenceComputationally and Memory-Efficient Robust Predictive Analytics Using Big DataMenges, D., Rasheed, A. · IEEE Conference on Artificial Intelligence, 2024↗ ConferenceSparse Neural Networks with Skip-Connections for Identification of Aluminum Electrolysis CellLundby, E.T.B., Robinson, H., Rasheed, A., Halvorsen, I.J., Gravdahl, J.T. · IEEE CDC, 2023↗ ConferenceData Integration Framework for Virtual Reality Enabled Digital TwinsStadtmann, F., Mahalingam, H.P., Rasheed, A. · IEEE WF-IoT, 2023↗ ConferenceData-Driven Spatio-Temporal Modelling and Optimal Sensor Placement for a Digital Twin Set-UpTabib, M., Skare, K., Bruaset, E., Rasheed, A. · Engineering Proceedings, 39, 2023↗ ConferenceTowards Real-Time Bad Hole Cleaning Problem Detection Through Adaptive Deep Learning ModelsNivlet, P., Bjørkevoll, K.S., Tabib, M., Skogestad, J.O., Lund, B., Nybø, R., Rasheed, A. · Middle East Oil, Gas and Geosciences Show↗ ConferenceStatistical Analysis of Offshore Wind Turbine FailuresZhang, W., Vatn, J., Rasheed, A. · 32nd European Safety and Reliability Conference↗ ConferenceStandalone, Descriptive, and Predictive Digital Twin of an Onshore Wind Farm in Complex TerrainStadtmann, F., Rasheed, A., Rasmussen, T. · Journal of Physics: Conference Series, 2626↗ ConferenceRegularization When Modelling with Biased Simulation Data as a PriorBjørkøy, H., Engmark, H.A., Rasheed, A., Varagnolo, D. · IFAC World Congress, 2023↗ ConferenceRisk-Based Convolutional Perception Models for Collision Avoidance in Autonomous Marine Surface Vessels Using Deep Reinforcement LearningLarsen, T.N., Hansen, H., Rasheed, A. · IFAC-PapersOnLine, 56(2), 2023↗ ConferenceModular Collision Avoidance Using Predictive Safety FiltersVaaler, A., Robinson, H., Tengesdal, T., Rasheed, A. · ASME OMAE, 2023↗ ConferenceDigital Twin for Autonomous Surface Vessels to Generate Situational AwarenessMenges, D., Sætre, S.M., Rasheed, A. · ASME OMAE, 2023↗ ConferenceDemonstration of a Standalone, Descriptive, and Predictive Digital Twin of a Floating Offshore Wind TurbineStadtmann, F., Wassertheurer, H.A.G., Rasheed, A. · ASME OMAE, 2023↗ ConferenceA Hybrid Approach to Detect Bad Hole CleaningTabib, M.V., Nivlet, P., Skogestad, J.O., Nybø, R., Rasheed, A. · ASME OMAE, 2023↗ ConferenceAn Intrusive Hybrid-Analytics and Modelling Approach Involving Deep-Learning for Efficient and Accurate Predictions of Hole-CleaningTabib, M.V., Nivlet, P., Bjørkevoll, K.S., Skogestad, J.O., Nybø, R., Rasheed, A. · SPE EuropEC / EAGE↗ ConferenceMachine Learning for Capacity Utilization Along the Routes of an Urban Freight ServiceTabib, M.V., Stene, J.K., Rasheed, A., Langeland, O., Gundersen, F. · INTAP 2021, Springer↗ ConferenceWienerization Based Control of Nonlinear SystemsBjørkøy, H.B., Engmark, H., Rasheed, A., Varagnolo, D. · European Control Conference, 2022↗ ConferenceA Review of Failure Prognostics for Predictive Maintenance of Offshore Wind TurbinesZhang, W., Vatn, J., Rasheed, A. · Journal of Physics: Conference Series, 2022↗ ConferenceHybrid Deep-Learning POD-Based Parametric Reduced Order Model for Flow Around Wind-Turbine BladeTabib, M.V., Tsiolakis, V., Pawar, S., Ahmed, S.E., Rasheed, A., Kvamsdal, T., San, O. · Journal of Physics: Conference Series, 2022↗ ConferenceUnsupervised Clustering of Marine Vessel Trajectories in Historical AIS DatabaseJain, R.P., Brekke, E.F., Rasheed, A. · International Conference on Information Fusion, 2022↗ ConferenceWienerization of Systems in Nonlinear Control Canonical Normal FormEngmark, H., Bjørkøy, H., Rasheed, A., Varagnolo, D. · IEEE CDC, 2022↗ ConferenceA Receding-Horizon Estimation and Control Framework for the Content Sequencing ProblemBusetto, R., Thomas, T.N., Rasheed, A., Varagnolo, D., Formentin, S. · European Control Conference, 2022↗ ConferenceA Receding Horizon Approach for Curriculum Management in Higher EducationLarsen, T.N., Busetto, R., Varagnolo, D., Formentin, S., Rasheed, A. · 13th IFAC Symposium on Advances in Control Education, 2022↗ ConferenceHybrid Analysis and Modeling for Next Generation of Digital TwinsPawar, S., Ahmed, S.E., San, O., Rasheed, A. · Journal of Physics: Conference Series, 2018(1), 2021↗ ConferenceA Non-Intrusive Parametric Reduced Order Model for Urban Wind Flow Using Deep Learning and Grassmann ManifoldTabib, M.V., Pawar, S., Ahmed, S.E., Rasheed, A., San, O. · Journal of Physics: Conference Series, 2021↗ ConferenceA Nested Multi-Scale Model for Assessing Urban Wind Conditions: LES versus RANS at the Finest ScaleTabib, M.V., Midtbø, K.H., Rasheed, A., Kvamsdal, T., Skaslien, T. · Journal of Physics: Conference Series, 2021↗ ConferenceReduced Order Models for Finite-Volume Simulations of Turbulent Flow Around Wind-Turbine BladesTsiolakis, V., Kvamsdal, T., Rasheed, A., Fonn, E., van Brummelen, H. · Journal of Physics: Conference Series, 2021↗ ConferenceMachine Learning with Subsequent Physics-Based Analytics for Guiding Transport PlanningTabib, M.V., Rasheed, A., Uteng, T.P. · ICAPAI, 2021↗ ConferenceReduced Order Modeling of Fluid Flows: Machine Learning, Kolmogorov Barrier, Closure Modeling, and PartitioningAhmed, S.E., Pawar, S., San, O., Rasheed, A. · AIAA AVIATION, 2020↗ ConferenceFast Divergence-Conforming Reduced Basis Methods for Stationary and Transient Flow ProblemsFonn, E., van Brummelen, H., Kvamsdal, T., Rasheed, A. · Journal of Physics: Conference Series, 1669, 2020↗ ConferenceGANs Enabled Super-Resolution Reconstruction of Wind FieldTran, D.T., Robinson, H., Rasheed, A., San, O., Tabib, M., Kvamsdal, T. · Journal of Physics: Conference Series, 1669, 2020 (Best poster award)↗ ConferenceHigh Fidelity Computational Fluid Dynamics Assessment of Wind Tunnel Turbine TestSiddiqui, M.S., Kvamsdal, T., Rasheed, A. · Journal of Physics: Conference Series, 1356, 2019↗ ConferenceHigh Resolution CFD Modelling and Prediction of Terrain Induced Wind Shear and Turbulence for Aviation SafetyTabib, M., Rasheed, A., Kvamsdal, T. · MekIT'19, 2019↗ ConferenceHybrid Analysis and Modeling as an Enabler for Big Data CyberneticsRasheed, A., San, O., Kvamsdal, T. · 32nd Nordic Seminar on Computational Mechanics, 2019↗ ConferenceA Computational Framework Involving CFD and Data Mining Tools for Analyzing Disease in Carotid Artery BifurcationTabib, M.V., Rasheed, A., Fonn, E. · CFD2017 Selected Papers, 2017↗ ConferenceNumerical Modeling Framework for Wind Turbine Analysis and Atmospheric Boundary Layer InteractionSiddiqui, M.S., Rasheed, A., Tabib, M.V., Kvamsdal, T. · 35th Wind Energy Symposium, AIAA, 2017↗ ConferenceInfluence of Tip Speed Ratio on Wake Flow Characteristics Utilizing Fully Resolved CFD MethodologySiddiqui, M.S., Rasheed, A., Kvamsdal, T., Tabib, M.V. · Journal of Physics: Conference Series, 854, 2017↗ ConferenceNear Wake Region of an Industrial Scale Wind Turbine: Comparing LES-ALM with LES-SMI Simulations Using Data Mining (POD)Tabib, M.V., Siddiqui, M.S., Fonn, E., Rasheed, A., Kvamsdal, T. · Journal of Physics: Conference Series, 854, 2017↗ ConferenceBig Data Analytics as a Tool to Monitor Hydrodynamic Performance of a ShipGupta, P., Steen, S., Rasheed, A. · ASME OMAE, 2019↗ ConferenceA Step Towards a Reduced Order Modelling of Flow Characterized by Wakes Using Proper Orthogonal DecompositionFonn, E., Rasheed, A., Tabib, M., Kvamsdal, T. · ASME OMAE, 2017↗ ConferenceA Step Towards Reduced Order Modelling of Flow Characterized by Wakes Using Proper Orthogonal DecompositionFonn, E., Tabib, M., Siddiqui, M.S., Rasheed, A., Kvamsdal, T. · Energy Procedia, 137, 2017↗ ConferenceOn Interactions Between Wind Turbines and the Marine Boundary LayerSiddiqui, M.S., Rasheed, A., Tabib, M.V., Fonn, E., Kvamsdal, T. · ASME OMAE, 2017↗ ConferenceAnalysis of Unsteady Hydrodynamics Related to Vortex Induced Vibrations on Bluff-Bodied Offshore StructureTabib, M., Rasheed, A., Fuchs, F.G. · ASME OMAE, 2017↗ ConferenceEffect of Uni- and Bi-Directional Coupling of Ocean-Met Interaction on Significant Wave Height and Local WindRasheed, A., Süld, J.K., Tabib, M. · ASME OMAE, 2017↗ ConferenceWind Farm Modeling in a Realistic Environment Using a Multiscale ApproachRasheed, A., Tabib, M.V., Kristiansen, J. · ASME OMAE, 2017↗ ConferenceDemonstrating the Impact of Bi-Directional Coupling on the Performance of an Ocean-Met ModelRasheed, A., Süld, J.K., Tabib, M.V., Kvamsdal, T., Kristiansen, J. · Energy Procedia, 137, 2017↗ ConferenceIndustrial Scale Turbine and Associated Wake Development: Comparison of RANS Based Actuator Line vs Sliding Mesh Interface vs Multiple Reference Frame MethodTabib, M.V., Siddiqui, M.S., Rasheed, A., Kvamsdal, T. · Energy Procedia, 137, 2017↗ ConferenceA Full-Scale 3D vs 2.5D vs 2D Analysis of Flow Pattern and Forces for an Industrial-Scale 5MW NREL Reference Wind TurbineTabib, M.V., Rasheed, A., Siddiqui, M.S., Kvamsdal, T. · Energy Procedia, 137, 2017↗ ConferenceQuasi-Static and Dynamic Numerical Modeling of Full Scale NREL 5MW Wind TurbineSiddiqui, M.S., Rasheed, A., Kvamsdal, T., Tabib, M.V. · Energy Procedia, 137, 2017↗ ConferenceMethodology for Assessing Cycling Comfort During a Smart City DevelopmentTabib, M.V., Rasheed, A., Uteng, T.P. · Energy Procedia, 122, 2017 (CISBAT)↗ ConferenceFlow Characterization in Complex TerrainRasheed, A., Tabib, M.V. · International Journal of Aerospace and Mechanical Engineering, 3(1), 2016↗ ConferenceWake Modeling in Complex Terrain Using a Hybrid Eulerian-Lagrangian Split SolverFuchs, F.G., Rasheed, A., Tabib, M., Fonn, E. · Journal of Physics: Conference Series, 753, 2016↗ ConferenceNumerical Analysis of NREL 5MW Wind Turbine: Towards a Better Understanding of Wake Characteristics and Torque Generation MechanismSiddiqui, M.S., Rasheed, A., Tabib, M.V., Kvamsdal, T. · Journal of Physics: Conference Series, 753, 2016↗ ConferenceAnalyzing Complex Wake-Terrain Interactions and Its Implications on Wind-Farm PerformanceTabib, M.V., Rasheed, A., Fuchs, F. · Journal of Physics: Conference Series, 753, 2016↗ ConferenceLES and RANS Simulation of Onshore Bessaker Wind Farm: Analysing Terrain and Wake Effects on Wind Farm PerformanceTabib, M.V., Rasheed, A., Kvamsdal, T. · Journal of Physics: Conference Series, 625, 2015↗ ConferenceIsogeometric Methods for CFD and FSI-Simulation of Flow Around Turbine Bladesvan Opstal, T., Fonn, E., Holdahl, R., Kvamsdal, T., Kvarving, A.M., Mathisen, K.M., Nordanger, K., Okstad, K.M., Rasheed, A., Tabib, M.V. · Energy Procedia, 80, 2015↗ ConferenceMesoscale Numerical Modelling of Met-Ocean InteractionsSüld, J.K., Rasheed, A., Kristiansen, J., Sætra, Ø., Carrasco, A., Kvamsdal, T. · Energy Procedia, 80, 2015↗ ConferenceEffect of Turbulence Intensity on the Performance of an Offshore Vertical Axis Wind TurbineSiddiqui, M.S., Rasheed, A., Kvamsdal, T., Tabib, M.V. · Energy Procedia, 80, 2015↗ ConferenceInvestigation of the Impact of Wakes and Stratification on the Performance of an Onshore Wind FarmTabib, M.V., Rasheed, A., Kvamsdal, T. · Energy Procedia, 80, 2015↗ ConferenceSpline Based Mesh Generator for Wind Turbine BladesFonn, E., Rasheed, A., Kvarving, A.M., Kvamsdal, T. · 27th Nordic Seminar on Computational Mechanics, 2014↗ ConferenceA Hybrid Numerical and Statistical Model for Wind Power ForecastingRasheed, A., Süld, J., Kvamsdal, T. · Grand Renewable Energy, 2014↗ ConferenceA Multiscale Wind and Power Forecast System for Wind FarmsRasheed, A., Süld, J.K., Kvamsdal, T. · Energy Procedia, 53, 2014↗ ConferenceA Comprehensive Simulation Methodology for Fluid-Structure Interaction of Offshore Wind TurbinesRasheed, A., Holdahl, R., Kvamsdal, T., Åkervik, E. · Energy Procedia, 53, 2014↗ ConferenceDownscaling as a Way to Predict Hazardous Conditions for Aviation ActivitiesRasheed, A., Sørli, K., Süld, J., Midtbø, K.H. · SESAR Innovation Days, 2013↗ ConferenceA Multiscale Approach to Micrositing of Wind TurbinesRasheed, A., Sørli, K., Holdahl, R., Kvamsdal, T. · Energy Procedia, 14, 2012↗ ConferenceOn the Effects of Complex Urban Geometries on Mesoscale ModelingRasheed, A., Robinson, D., Lakehal, D. · International Symposium on Computational Wind Engineering, 2010↗ ConferenceFrom the Neighborhood to the City: Resource Flow Modeling for Urban SustainabilityRobinson, D., Haldi, F., Kaempf, J., Leroux, P., Perez, D., Rasheed, A., Wilke, U. · CISBAT, 2009↗ ConferenceOn the Effects of Complex Urban Geometries on Mesoscale ModelingRasheed, A., Robinson, D., Narayanan, C., Lakehal, D. · 7th International Conference on Urban Climate, 2009↗ ConferenceA New Urban Canopy ModelRasheed, A., Robinson, D., Clappier, A. · 7th International Conference on Urban Climate, 2009↗ ConferenceMultiscale Modeling of Urban ClimateRasheed, A., Robinson, D. · 11th International IBPSA Conference: Building Simulation, 2009↗ ConferenceCitySim: Comprehensive Micro Simulation of Resource Flows for Sustainable Urban PlanningRobinson, D., Haldi, F., Kaempf, J., Leroux, P., Rasheed, A., Wilke, U. · 11th International IBPSA Conference: Building Simulation, 2009↗ ConferenceOn the Sensitivity of Building Performance to the Urban Heat Island EffectRasheed, A., Robinson, D., Clappier, A. · CISBAT, 2007↗
PhDPredictive Digital Twin for Condition Monitoring of Cable InfrastructuresSupervisor · 2026–2029↗ PhDPore Pressure Prediction Using Hybrid ModelingBjørnar Kaarevik · Supervisor · 2024–2028↗ PhDFuture Mobility SolutionsOluwaleke Yusuf Umar · Supervisor · 2023–2026↗ PhDTowards Hybrid Modelling for Downhole Pressure Estimation in Drilling OperationsMehmet Altindal · Supervisor · 2026↗ PhDOn the Explainability and Reliability of Artificial Intelligence for Dynamical SystemsAlberto Mino · Supervisor · 2026↗ PhDEnabling Technologies for Digital TwinsFlorian Stadtmann · Supervisor · 2025↗ PhDSafe Reinforcement Learning for Autonomy in Resource Constrained EnvironmentsThomas Nakken · Supervisor · 2025↗ PhDDigital Twin for Situational Awareness and Optimal Control of Autonomous Surface VesselsDaniel Menges · Supervisor · 2025↗ PhDTrustworthy Machine Learning for Controlled Dynamic SystemsHaakon Robinson · Supervisor · 2023↗ PhDData-Driven Modelling for Post-Combustion CO2 CaptureValentin Antoine Formont · Co-supervisor · 2021–2024↗ PhDSustainable Urban Mobility and Cycling BehaviourMuhammad Tsaqif Wismadi · Co-supervisor · 2023–2026↗ PhDSocietal Cybernetics (Industry PhD)Karl Johan Haarberg · Co-supervisor · 2022–2025↗ PhDPerception and Learning for Autonomous SystemsFlorian Wintel · Co-supervisor · 2023–2026↗ PhDMulti-Agent Reinforcement LearningEven Klemsdal · Co-supervisor · 2020–2024↗ PhDBig Data CyberneticsHåvard Bjørgan Bjørkøy · Co-supervisor · 2020–2023↗ PhDBig Data CyberneticsHans A. Engmark · Co-supervisor · 2020–2023↗ PhDBiofeedbackRoya Doshmanziari · Co-supervisor · 2020–2023↗ PhDPredictive Maintenance and Decision SupportWanwan Zhang · Co-supervisor · 2021–2024↗ PhDUnsupervised Anomaly Detection for Digital TwinsMohammed Ayalew Belay · Co-supervisor · 2021–2025↗ PhDOn the Applications of Machine Learning for Alleviating Challenges in the Financial Crime DomainAbdallah Alshantti · Co-supervisor · 2019–2022↗ PhDData-Driven Dynamical Modeling in the Face of Data LimitationsErlend Lundby · Co-supervisor · 2019–2022↗ PhDShip Performance Monitoring Using In-Service Measurements and Big Data Analysis MethodsPrateek Gupta · Co-supervisor · 2019–2022↗ PhDTurbulence Characterisation in Complex Fjord Topography Using Measurement and Numerical Modelling for Bridge DesignMidjiyawa Zakaria · Co-supervisor · 2022↗ PhDHigh Fidelity Simulation and Reduced Order Modeling of Wind TurbinesMuhammad Salman Siddiqui · Co-supervisor · 2015–2018↗
MScTask-Aware Adaptive Sparse Sensing Using Variational Autoencoder and Reinforcement LearningMikael Aleksander Jansen Shahly · 2026↗ MScCan Small Language Models Learn to Control? Expert Knowledge Transfer through Model Predictive Control Guided TrainingAleksander Østensen · 2026↗ MScNatural Language to Quantitative Constraints: An LLM–RL Iterative Refinement PipelineUlrykke Bjune Hopen · 2026↗ MScAccuracy-Cost Trade-offs in Data-Driven Forecasting of CO2 Plume Evolution in Geological StorageVibeke Kvistad Dengerud · 2026↗ MScFrom Surfaces to Semantics: A Comparative Study of Neural Implicit Grid ArchitecturesMathias Størseth Otnes · 2026↗ MScObject Detection in Synthetic Aperture Sonar Imagery with Limited Labels: Detecting Ghost Fishing GearKari Torfinnsdatter Rønningen · 2026↗ MScInvestigating Meteorological Effects and Cross-Domain Generalization in Aircraft Sound Event ClassificationIngeborg Marie Berg Borhaug · 2026↗ MScDynamic Cable Load Temperature Optimization Laboratory with Digital Twin IntegrationLinus Ludescher · 2025↗ MScBuilding a Modular Framework for Federated Learning and Unlearning ResearchHlynur Grimm Berg · 2025↗ MScHeat-Assisted Detection and RangingHenrik Kvello Gursli · 2025↗ MScIntegrating Large Language Models with Digital Twins for Autonomous ControlOscar Raavik · 2025↗ MScIce Feature EstimationDavid Standal · 2025↗ MScPreventing Recidivism After Imprisonment: Systemic Patterns Behind ReoffendingOlea Linnea Andersson · 2025↗ MScMSc projectErlend Nesse · 2025↗ MScMSc projectHanne Gausnes · 2025↗ MScMSc projectEmil Johnsen · 2025↗ MScMSc projectOlav Lill Østerholt · 2025↗ MScMSc projectOussama Elbettal · 2025↗ MScMSc projectTsvetlin Angelov Petrov · 2025↗ MScMulti-Target Tracking for Autonomous Surface Vessels: Fusing LiDAR and AIS Data in a Digital Twin FrameworkAndreas von Brandis · 2024 · journal article in Applied Ocean Research↗ MScReactive Quadrotor Guidance System Using Deep Reinforcement Learning, Autoencoders and Nonlinear ControlEirik Runde Barlaug · 2024 · OMAE paper; NFEA and OpenAI awards↗ MScDeep Reinforcement Learning and Nonlinear Model Predictive Control in Marine NavigationHenrik Stokland Berg · 2024↗ MScReactive Quadrotor Guidance System Using Deep Reinforcement Learning, Autoencoders and Nonlinear ControlJørgen Lind Fløystad · 2024 · OMAE paper; NFEA and OpenAI awards↗ MScOptimizing Nonlinear Dynamic Models with Deep Active Learning and Minimal System InterferenceTobias Rotnes Aasen · 2024↗ MScReachability Analysis of Deep Active Learning for Nonlinear System IdentificationElias Buø · 2024↗ MScThe Digital Twin-Ready Aquarium: A Step Towards Industry 4.0 in AquacultureMagnus Selle · 2024↗ MScThe Future of Correctional Workforce Management: AI and Societal CyberneticsShayan Tafrishi · 2024↗ MScStatistical and Mathematical Modeling of Supermarket Cabinet Temperature for Demand Response ApplicationsPernille Sofie Pedersen · 2024↗ MScDrone-Assisted Temperature Monitoring for Sustainable Control of Residential ClimatesHåvard Einarssønn Høymork · 2024↗ MScExplainable AI Approaches for Large Generative Transformer-Based Language ModelsMarte Eggen · 2024↗ MScMSc projectMagnus Haaker · 2024↗ MScMSc projectKristoffer Arlind · 2024↗ MScMSc projectHedda Nielsen Dale · 2024↗ MScGAN Based Super-Resolution of Near-Surface 3D Atmospheric Wind Flow with Physics Informed Loss FunctionJacob Wulff Wold · 2023 · journal article in Engineering Applications of Artificial Intelligence↗ MScMachine Learning-Enabled Predictive Modeling of Building Performance for Electricity OptimizationHenrik Albin Larsson Hestnes · 2023↗ MScSafe Reinforcement Learning in Marine Navigation and Control: Using a Predictive Safety Filter on Autonomous Surface VesselsAksel Vaaler · 2023 · journal article in Artificial Intelligence; NFEA and OpenAI awards↗ MScUnleashing the Potential of AI-Driven Digital Twins: A Framework for Research Using a Sensor-Enhanced GreenhouseKristoffer Skare · 2023 · conference paper↗ MScUnleashing the Potential of AI-Driven Digital Twins: A Framework for Research Using a Sensor-Enhanced GreenhouseEndre Bruaset · 2023 · conference paper↗ MScOn the Potential of Utilizing Laboratory-Scale Experimental Setup as Proxy for Real-Life Applications: Hole CleaningEmil Johannesen Haugstvedt · 2023 · journal article in IEEE Access↗ MScDeveloping a Predictive Digital Twin of a Wind FarmHenrik Andreas Gusdal Wassertheurer · 2023↗ MScMerging Classical Control and Deep Reinforcement Learning for Dynamic Collision Avoidance for a QuadcopterØrjan Carlsen · 2023↗ MScSafe Reinforcement Learning in Marine Navigation and ControlSvein Jostein Husa · 2023 · journal article in Artificial Intelligence↗ MScImproving Credit Management Practices: A Transdisciplinary Approach to Optimizing Risk and ProfitabilityJannani JohanRaj · 2023↗ MScImproving Credit Management Practices: A Transdisciplinary Approach to Optimizing Risk and ProfitabilityMarthe Aaberg · 2023↗ MScPath-Following and Collision Avoidance Using World ModelsKristian Brudeli · 2023↗ MScObject Detection in EM2040 Point CloudsKristian William Macdonald Gulaker · 2023↗ MScMulti-Agent Reinforcement Learning with Graph Neural Networks for Optimizing an Industrial Sorting SystemEivind Dogger · 2023↗ MScPhysics-Guided Neural Networks for Aerodynamic Characterization of Wind TurbinesEirik Rugaard Furevik · 2023↗ MScPhysics Informed Neural NetworkAlbert Johannessen · 2022↗ MScCorrective Source Term Approach for Improving Erroneous Physics-Based ModelsSondre Sørbø · 2022 · journal article in Applied Soft Computing↗ MScLaying the Foundation for an AI-Powered Extendable Digital Twin Framework for Autonomous Sea VesselsSimon Mork Sætre · 2022 · OMAE conference paper↗ MScStacking Classifiers for Improved Order ExecutionMarcus Skagemo · 2022↗ MScPath Following for Quadcopters Using Deep Reinforcement LearningLudvig Løken Sundøen · 2022↗ MScFractal Analysis and Its Application on Time-Series Data: Condition Monitoring of Hole Cleaning OperationsLars Gjardar Musæus · 2022↗ MScDigital Twin of a Building Powered by Artificial Intelligence and Demonstrated in Virtual RealityElias Mohammed Elfarri · 2022 · Tekna award for project idea↗ MScBuilding a Digital Twin of the Thermodynamic Behaviour of a Building Using Hybrid ModelingAnnfrid Hopland Myklebust · 2022↗ MScPosition Alignment and Geographical Location Determination of Railway Track Condition Monitoring DataAnne Willkommen Eiken · 2022 · best thesis award, BaneNOR↗ MScPredicting Feeding Patterns in AquacultureKatarina Charlotte Guderud · 2022↗ MScSimulating Ordinary Differential Equations Using the Physics-Guided Machine Learning FrameworkViljer Ness · 2021↗ MScReinforcement Learning and Predictive Safety Filtering for Floating Offshore Wind Turbine ControlVebjørn Malmin · 2021↗ MScGeneralized Workflow with Uncertainty Quantification for Detecting Abnormalities in Lung SoundsAndrine Elsetrønning · 2021↗ MScGeometric Change Detection in the Context of Digital Twins, Leveraging Dynamic Mode Decomposition and Object DetectionJulia Marie Graham · 2021 · journal article in Digital↗ MScSea Bottom Detection Using Doppler Velocity LoggerMarie Skatvedt · 2021↗ MScPhysics Guided Machine Learning: Injecting Neural Networks with Simplified TheoriesTorkel Laache · 2021 · journal article in Frontiers in Robotics and AI↗ MScReinforcement Learning and Predictive Safety Filtering for Floating Offshore Wind Turbine ControlHalvor Ødegard Teigen · 2021 · journal article in Frontiers in Robotics and AI↗ MScSecuring Trust in AI Systems Through Increased ExplainabilityOle-Jørgen Hannestad · 2021↗ MScIncreasing Validity and Uncovering Utility in Machine Learning StudiesBendik Austnes · 2021↗ MScA Proof-of-Concept Digital Twin Implementation for Monitoring Patients Through a Clinical PathwayOlav Landmark Pedersen · 2021↗ MScMaking a Digital Twin of a Heterogeneous Rod Under Transient Heat TransferFredrik Pettersen · 2021↗ MScIntroducing CoSTA: A Deep Neural Network Enabled Approach to Improving Physics-Based Numerical SimulationsSindre Stenen Blakseth · 2021 · best thesis award; journal articles in Neural Networks and Applied Soft Computing↗ MScTowards Geometric Change Detection in Digital Twins Using Dynamic Mode Decomposition, Object Detection and 3D Machine LearningTiril Sundby · 2020 · journal article in Digital↗ MScA Strategy Controller for Concave Obstacle AvoidanceDaniel Nakken · 2020↗ MScOn the Applicability of a Perceptually Driven Generative-Adversarial Framework for Super-Resolution of Wind Fields in Complex TerrainThomas Nakken · 2020↗ MScOn Course Towards Model-Free Guidance: A Self-Learning Approach to Dynamic Collision Avoidance for Autonomous Surface VehiclesEivind Meyer · 2020 · best thesis award; two journal articles in IEEE Access↗ MScCombining Grid-Based Uncertainty Propagation and Neural Networks with Uncertainty EstimationEirik E. Vesterkjær · 2020↗ MScBiomass Estimation Using Sonar and Machine LearningHerman Stavelin · 2020 · journal article in Ecological Informatics↗ MScConvolutional Neural Network and Generative Adversarial Networks Enabled Resolution Enhancement of Numerical SimulationsDuy Tan Tran · 2020 · best poster award, Deep Wind Conference↗ MScFrom Beginner to Expert: Deep Reinforcement Learning Controller for 3D Path Following and Collision Avoidance by Autonomous Underwater VehiclesSimen Theie Havenstrøm · 2020 · journal article in Frontiers in Robotics and AI↗ MScRisk-Based Reinforcement Learning for Path Following and Collision AvoidanceAmalie Heiberg · 2020 · journal article in Neural Networks↗ MScOn the Piecewise Affine Representation of Neural NetworksHaakon Robinson · 2019 · runner-up best thesis award↗
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