top of page
Dr. Harshal Akolekar
The CFD-ML Group
The CFD-ML (Computational Fluid Dynamics - Machine Learning) group conducts research in applied CFD, machine learning-based CFD, and core machine learning problems.
We develop cutting-edge machine learning frameworks based on high-fidelity and experimental data to enhance the wake turbulence, boundary layer transition, and blade cooling prediction for industrially relevant problems such as gas turbines.
We welcome those from industry and academia to collaborate.
We are actively looking for PhD researchers to work on exciting projects.
Thrust Areas
CFD and Machine Learning for Gas Turbine Applications
Active Projects
Data-Driven Turbulence and Transition Model Development for Gas Turbine Applications
(Seed Grant, IIT Jodhpur, Rs. 25 lakhs 2024-2027)
Developing deep learning methods to analyse vorticity data of high sparsity
Unsteady simulations of compressor flows with roughness
Deep learning methods for transition flow reconstruction
Sand dune interaction with obstacles
Exploring neural networks for voice recognition
Current Team
UG Researchers
Rushil S. Patel (ME)
Aman Bhansali (ME)
Abhay M (ME)
Akshat Jain (CS)
​
PG Researchers
Mukul Chandra
Prashant Godse
​
PhD Researchers
I'm actively looking out for PhD researchers to work on exciting topics
bottom of page