Research Projects

Client: Hafslund, Glitre, Elvia, Nexans, Aibel, Hitachi

Research area: Modeling cable behavior under dynamic loading using hybrid modeling.

Client: RCN, Equinor, ConocoPhilips

Research area: Hybrid Analysis and Modeling for Pore Pressure Modeling

Digital Ship Structural Health Monitoring.

Client: RCN, H2020

Research area: Digital twin for futuristic urban mobility solution

Client: Wintershell

Research area: Building a digital twin of porous media flow

Client: RCN, Vår Energi, AkerBP, TDE Norge

Research area: Hole cleaning monitoring in drilling with distributed sensors and hybrid methods

Client: RCN, H2020

Research area: Digital twin for autonomous surface vehicles

Client: RCN, Numerous Industry partners

Research area: Digital twin for Wind Farms

Client: RCN, DNVGL, Dr. Tech Olav Olsen

Research area: Hybrid analysis and modeling

Client: RCN, Several industry partners

Research area: Situational awareness

Client: RCN, Several industry partners

Research area: Explainable machine learning

Client: RCN, Norway-Chine research collaboration

Research area: Reduced order modeling of wakes

Client: RCN, Kongsberg, DNV GL, Marine Robotics

Research area: Long term trajectory prediction for autonomous ships

Client: KVT

Research area: Siting of an optimal location for a proposed airport in the Lofoten region

Client: Sømmvågen III AS

Research Area: Building induced turbulence, Aerodynamic buildings, Architecture

Client: Forsvarsbygg

Research area: Investigation of the impact of a proposed hanger on the flying conditions at the Florø airport

Client: Norwegian Research Council (HELSEVEL). Research Partners: FFI, MET, Intervention Center

Research area: Aerial Transport of Biological material between hospitals

Client: Norwegian Research Council (TRANSPORT 2025)

Research area: Digitalisation and mobility (DIGMOB): Smart and sustainable transport in urban agglomerations

Client: SINTEF

Research area: Combining physics-driven and data-driven models

Client: SINTEF

Research area: Predicting the thermoelectric behavior of new chemical molecules using Machine Learning

Client: Statens Vegvesen

Research area: Towards Designing Intelligent Transport Solutions

Client: SINTEF

-- Serve as one of the four core members of the BIGLEARN initiative within SINTEF designing a roadmap geared towards digitization -- Instructional work on Machine Learning for SINTEF employees.

Client: TØI

-- Quantify the impact of climate on urban mobility and develop Machine Learning Algorithms to predict number of pedestrians and vehicles on a stretch of road at a particular instance of time.

Client: Kongsberg

-- Help the client improve and use their Artificial Intelligence and Machine Learning technology platform as a competitive edge in the new age of digitalization and design its future value propositions.

Client: SINTEF ICT

-- Analysis of the complicated relationship between meteorological data, oceanographic biomarkers (algae, planktons etc.) and fish catch reports (species caught, equipment used etc.).

Client:SINTEF

-- Clustering of time series based on graph weighted by correlation revealing underlying structure. Automatic anomaly detection in sensor data.

Client: Norwegian Research Council, Statoil and Vattenfall (ENERGIX)

Research Area: Real time control system for wind farms, Aerodynamics, Reduced Order Modelling

Client: Norwegian Meteorological Institute, Vegvesen

Research partners: Wind in complex terrain and fjord relevant for bridge designs and road transport.

Client: Norwegian Research Council, Statoil, Trønderenergie, WindSIM, Kjeller Vindteknik

Research Area: Fluid Structure Interaction, Aerodynamics, Power Forecasting, Ocean-MET interactions, Wake-terrain-turbine-atmosphere interaction modelling

Client: Norwegian Research Council, Statoil, Statkraft, DNV, Dong, CD-ADAPCO

Research Area: Numerical Methods for Wind Energy, Isogeometric Analysis, Computational Fluid Dynamics, New turbine concepts

Client: Norwegian Research Council

Research Area: Wind Energy in an Urban context, Building refurbishment, Air conditioning, Urban Geometry Modelling, Aerodynamic Buildings, 3D printing and scanning, Urban Climatology

Client: Norwegian Meteorological Institute & Avinor

Research Area: Aviation, Atmospheric turbulence, Microscale wind and turbulence prediction system

Client: Sømmvågen III AS

Research Area: Building induced turbulence, Aerodynamic buildings, Architecture

Client: Norwegian Research Council

Research Area: Urban Geometry Modelling, Computational Fluid Dynamics, Turbulence Modelling

Client: NEST

Research Area: Thermal heat storage, thermal stresses induced fracture modeling, design optimization

Client: Euro Control

Research Area: Aircraft wakes, Aviation Safety, Vortex Particle Method

Client: Avinor

Research area: Aviation safety, Atmospheric Turbulence Modelling

Client: FG Eiendom

Client: European Space Agency. Partners: Satavia, Catapult, Avinor ANS, NCAR, UiO

Research area: Atmospheric turbulence, Sensor integration in aircraft