Publications and responsibilities
Geometric Change Detection in Digital Twins using 3D Machine Learning
A nudged hybrid analysis and modeling approach for realtime wake-vortex transport and decay prediction
Towards Understanding Wind Impact for Drone Operations: A Comparison of Wind Models Operating on Different Scales in a Nested Multiscale Set-Up
GANs enabled super-resolution reconstruction of wind field
Screening thermoelectric materials with ab initio atomistic modelling and machine learning techniques
High-Resolution Cfd Modelling and Prediction of Terrain-Induced Wind Shear and Turbulence for Aviation Safety.
The paper describes the ability of a high-resolution Computational Fluid Dynamics model to predict terrain-induced turbulence and wind shear close to the ground for aviation safety. The capabilities of the model are demonstrated by applying it to the Sandnessjøen Airport, Stokka, in Norway, an...
Numerical investigation of modeling frameworks and geometric approximations on NREL 5 MW wind turbine
The key to the better design of an industrial scale wind turbine is to understand the influence of blade geometry and its dynamics on the complicated flow-structures. An industrial-scale wind turbine can be numerically represented using various approaches (from simpler 2D steady flow to complex...
Discovering Thermoelectric Materials Using Machine Learning: Insights and Challenges
This work involves the use of combined forces of data-driven machine learning models and high fidelity density functional theory for the identification of new potential thermoelectric materials. The traditional method of thermoelectric material discovery from an almost limitless search space of...