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PhD Students

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Prashant Kumar

PhD Student (2022 - )

Education: B.Tech Mechanical engineering (2022), NIT Goa .

Interest: Turbomachinery flows, Machine Learning .

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Harshit Tiwari

PhD Student (2021- ), with Prof. Mahendra Verma

Interest: Supersonic Turbulence .

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Digpriya

PhD Student (2022- ), with Prof. Pradeep Moise

Education: M.Tech Mechanical, SVNIT Surat (2022) .

Interest: Aerodynamics flows .

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Vishal Sethi

PhD Student (2023- ), with Prof. Tufan K. Guha

Education: M.Tech Aero (BIT Mesra) .

Interest: Aerodynamics flows .

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Smrutiranjan Nayak

PhD Student (2023- )

Education: M.Tech (NIT Rourkela) .

Interest: Turbomachinery flows .

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Yesuf Hussien Yimer

PhD Student (2026- )

Education: M.Tech (Addis Ababa University), Ethiopia .

Interest: Turbomachinery flows .

Masters' Students

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Lovesh Dua

M.Tech. Student

Project: Turbulent Flow Simulations using LES

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Aditya Anand

M.Tech. Student

Project: PINN for prediction of aerodynamic flows

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Sunil G.

M.Tech. Student

Project: Simulation of UAVs

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Aayushi Baliyan

M.Tech. Student (with Prof. Anurag Tripathi)

Project: CFD-DEM simulations

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Mohan K. Medisetti

M.Tech. Student (with Prof. Tushar Sikroria)

Project: Dynamics and Simulation of impinging jets

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Nagendra

M.Tech. Student (with Prof. Tushar Sikroria)

Project: Dual Jet Simulations using OpenFOAM

Research / Project Staffs

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Abhishek Kumar

Junior Research Fellow (2022- )

Education: M.Tech. Aero, IIT Madras .

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Sanu Chakrabortty

Project Engineer

Education: M.Tech. Aero, IIT Guwahati .

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Ambeth K

Project Engineer

Education: M.Tech. Aero, IIT Kanpur .

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Gagan Wadhwa

NPTEL Predoc Fellow

Past Members

Post-doctoral Fellow

  1. Pawan Kumar. (2025, Currently Faculty Member at UPES Dehradun). Design and Simulations of Cargo Hyperloop

Masters' Students (Graduated)

  1. Vishw Patel. M.Tech. (2025). Linking Transonic Buffet with Low-Frequency Oscillations at High Reynolds Number (with Prof. Pradeep Moise)

  2. Prakash Raj. M.Tech. (2025). Unsteady Simulations of Flow in Transonic High-pressure Turbine Cascades

  3. Raghav Gupta. M.Tech. (2025). Numerical Study of High-speed Low Pressure Turbine Cascade Flow with Shocks

  4. K. Srichaitanya. M.Tech. (2025). Cost-Effective Wing-Propeller Simulation Framework for Modern Turboprops

  5. Yash Bajpai. M.Tech. (2025). OpenFOAM Simulations for Aerodynamic Flows at High Angles of Attack

  6. Pavan K. Pasupuleti. M.Tech. (2025). Numerical Simulation and Optimization of Turboprop Wings in Tractor Configuration

  7. Vanipenta Sevitha. M.Tech. (2025). Cavity-Assisted Control of Shock-Boundary Layer Interaction in Scramjet Intakes

  8. Yash Phirke. M.Tech. (2025). GPU Acceleration and Benchmarking of High-Order CFD Codes

  9. Abhinav Aggrawal. BT-MT (2025). Transient Dynamics and Control of a Hypersonic Double Ramp Flow

  10. Jaimini Chauhan. MSR (2025). Influence of throttling on the Scramjet intake flow field

  11. Suchintika Chanda. M.Tech. (2024). Continuum Modeling of Evolution of Granular Flows (with Prof. Anurag Tripathi)

  12. Anil Kumar Jat. M.Tech. (2024). An Assessment of Turbulence Models for Predictions of Natural, Bypass and Separation-Induced Transitions

  13. Kavan Prabtani. M.Tech. (2023). Modelling Turbulence Inside Scramjet Inlets affected by SWTBLI, Separation and Relaminarization

  14. Kshitij Sharma. M.Tech. (2023). Prediction and Control of Largely Separated Flows in Highly Loaded Low-pressure Turbine Blades

  15. Bhavin Patel. M.Tech. (2023). Numerical Investigation of Flowfield Modification in the Presence of an Upstream Propeller

Undergraduate Project Students (Graduated)

  1. S. Ashwin. 2025. Fourier Neural Operators for Turbulence Inflow Generation

  2. Aakarsh Mishra. 2025. Physics-Informed Neural Networks for the Reynolds-averaged Turbulent Flowfield

  3. Mayankit. 2025. Implementation of High-Order TENO Scheme for High-Speed Flows

  4. Misbahur Rahman. 2025. Predicting extreme heat events using ML based model

  5. Harshit Bhushan. 2025. Physics-Informed Neural Operator for Modeling Flow Around a 2D Square Cylinder at Low Reynolds Numbers

  6. Himanshu Mittal. 2025. Physics-based Deep Operator Networks Machine Learning models for Incompressible Flows

  7. Om Kothawade. 2025. Physics-Informed Neural Networks for Solving Incompressible Navier–Stokes Equations

  8. Nandan Madhuj. 2024. Use of Machine Learning for Improving Turbulence Models

  9. Shubham Kumar. 2024. Machine Learning for Calibration of Turbulence Models in Complex Flows

  10. Siddesh Bharat Hazare. 2024. Use of Physics-informed Neural Network for Simulation of 2D Aerofoils

  11. Arihant Jha. 2024. Physics-based Machine Learning Approaches for Compressible Flow Problems

  12. S. Ashwin. 2024. Using quantum neural networks to solve differential equations and fluid flow problems

  13. Nandan Madhuj. 2023. Stability Analysis of Buffeting Wings

  14. Tanya Arya. 2023. Fast Aerodynamic Predictions using Machine Learning

  15. Som V. Tambe. 2023. Accelerated SVD computation using GPUs in Julia Language

  16. Atharva Umbarkar. 2023. Comparative Study of Various Dynamic Mode Decomposition (DMD) Variants in Extraction of Key Flow Features

  17. Adarsh Baderia. 2023. GPU Implementation of a Python-based RANS solver

  18. Adarsh Baderia. 2022. Development of a Python-based RANS solver

  19. Anwesh Kumar Yadav. 2021. Steady Turbulent Transonic Flow over an Airfoil

  20. Ashwani. 2021. Field Inversion and Machine Learning (FIML) Approaches for Improvement of Turbulence Models

Internships / Research Projects

  1. Artem Avdieiev. University of Nottingham, 2022–. Effect of Wall Temperature on Hypersonic Double Ramp Flow Dynamics

  2. Suhaan Sabhlok. University of Bristol, 2024–. Machine Learning Based Turbulence Inflow Generator

  3. Himanshu Mittal. IIT Kanpur, 2025. Physics-Informed Deep Operator Networks for Surrogate Modeling of Incompressible Flows

  4. Priyanshu Rao. IIT Ropar, 2025. Sedimentation of a sphere in a pure fluid under gravity

  5. Priyanshu Singh. IIT Ropar, 2025. Sedimentation of a Sphere in Viscous Fluid

  6. Malavika Nair. IIT Kanpur, 2025. Prediction of Transient Flow over a Cylinder Using Physics Informed Neural Networks

  7. Satvik Jaiswal. IIT Kharagpur, 2025. CFD Analysis of Vortex Dynamics on Ogive-Cylinder Missile Configurations

  8. Md. Umair Ansari. Amrita Vishwa Vidyapeetham, Coimbatore, 2023. Computational Study of flow in overexpanded nozzles

  9. Aishna Jain. IIT Bhilai, 2024. Computations and analysis of flow over a high-speed low-pressure turbine blade

  10. Tejas Menon. Amrita Vishwa Vidyapeetham, Coimbatore, 2023. Wake-Blade Interaction On A High-Speed Transonic LPT Cascade

  11. Geetam Saha. Jadhavpur University, 2022. Computational Study of transitional flows in turbomachines

  12. Shruti Rajpara. IIEST Shibpur, 2022. RANS prediction of the effects of varying Reynolds number and pitch distances on flow past a low-pressure turbine cascade

  13. M V Nitya. BMS College of Engg., 2022. Assessment of low-cost CFD methodologies for two computationally challenging problem

  14. Pranjal Anand. BITS Pilani, 2021. Prediction of Aerothermal Properties of High Pressure Turbine Guide Vane Using RANS Methods

  15. Pratyush Purohit. NIT Karnataka, 2022. Design and Analysis of Wingtip vortex turbine

  16. Aryan Sharma. IIT Kanpur, 2020. COVID-19 Data Analysis