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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, acoustics, 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 also develop reduced order models to improve the accuracy and reduce simulation time of CFD.
We welcome those from industry and academia to collaborate.
We are actively looking for PhD researchers to work on exciting projects.
Active Projects
Data-Driven Turbulence Model Development for High Pressure Turbines
Machine Learning Based Turbulence/Transition Model Development for Low Pressure Turbine
ML-CFD Pipelines for Commerical Codes
Exploring ML Turbulence Models for Canonical Flows
Acoustic analysis of drones
Reinforcement learning / surrogate modelling for airfoil design
Thrust Area
CFD and Machine Learning for Gas Turbine
Current Team
UG Researchers
Shubham Tamboli (ME)
Tejas Joshi (ME)
Divyansh Gopalka (ME)
Taksh Mehta (CS)
Piyush Bhati (CS)
Abhinav Naithani (CS)
Aryaveer Singh (ES)
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PG Researchers
Dev Pathak
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PhD Researchers
Talib Ansari
Prithvi Adhikary
Jayadeep K
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I'm actively looking out for PhD researchers to work on exciting topics
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Past Members
Pushkin Dugam (BTech 2026)
Piyush Jhamnani (BTech 2025, Bharat Petroleum Corporation Limited)
Shubham Mishra (BTech 2025, Audria)
Rushil Patel (Gold Medallist BTech 2024, MS Columbia Uni, ANSYS USA)
Aman Bhansali (BTech 2024, American Express)
Abhay M (BTech 2024, Antelopus Selan Energy)
Akshat Jain (BTech 2024, Deutsche Bank, 39k Group,)
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​Saransh Meena (MTech 2026)
Ashutosh Yadav (MTech 2026)
Priyank Mehta (MTech 2025) (Volvo)
Prashant Godse (MTech 2024) (Manager, Maruti Suzuki)
Mukul Candra (MTech 2024) (Ria-Seaco Gulf)
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