Updates

January 2024: Open-access research article on the usage of transfer machine learning and generalization on porous media flow is available in Physics of Fluids.

April 2022: Research article on dimensionality reduction and temporal modes training with recurrent neural network is out in Physics of Fluids.

November 2020: Paper regarding the reservoir computing and POD is now availbale at Physical Review Fluids.

November 2020: Made rasta opensource which is a light weight library in Python for geospatial data (Gpx, GTFS and some navigation servies.)

October 2020: Our paper on non-uniform body force is accepted by Physical Review Fluids, where we have used Nektar++ CFD code. Paper is available online now.

May 2020: Our paper on machine learning and turbulence is accepted by Journal of Turbulence. You can check out the paper by clicking here.

February 2020: I have joined Veoneer GmbH as Analytics Tool Software Engineer. I will be focusing on development of different tools and module to analyse and visualize large amount of automotive data which will support the development of autonomous vehicle.

October 2019: We presented our work regarding DNS and its use in sCO2 cooler design at 3rd European sCO2 conference which took place in Paris. For paper, please click here.

September 2019: I will be attending International workshop on data-driven modeling and optimization in fluid mechanics in Karlsruhe on 16-17 Sept.

April 2019: I successfully defended my PhD at IKE, University of Stuttgart.

November 2018: Our work on machine learning and DSN was featured by GCS.