Prashant Kumar

PhD SCHOLAR (PRIME MINISTER'S RESEARCH FELLOW), IIT Kanpur, INDIA, 208016

🖋️

Hello! I'm Prashant Kumar, a PhD scholar at the Indian Institute of Technology Kanpur in Department of Aerospace Engineering. I am passionate about scientific machine learning (SCIML) and fluid flows in general. Currently, I’m working on PINNs for high speed flows and exploring data-driven machine learning techniques for internal and external aerodynamics for turbulent flows.

🧑🏽‍💻 About Me

I'm Prashant Kumar, PhD scholar(PMRF) at IIT Kanpur in the Department of Aerospace Engineering. I'm working with Dr. Rajesh Ranjan (ACAL) in the area of Scientific Machine Learning, including Physics-informed Neural Networks for incompressible and compressible turbomachinery flows.

Traditional methods struggle with complex, low Reynolds Number flows in turbine blades, which impedes design optimization. PINN addresses this challenge by integrating machine learning with physics comprehension. Unlike deep learning models, PINN requires less data and incorporates flow physics. Extending PINN to compressible flows, predicting blade performance, and optimizing designs to reduce separation and wake losses are key aspects of my research, including predicting turbine blade performance in transitional flow conditions.

📚 RESEARCH

Journal

• Prashant Kumar, Rajesh Ranjan, A Robust Data-Free Physics-Informed Neural Network for Compressible Flows with Shocks, under-review in Computer and Fluids, February, 2025.

Conferences

• Prashant Kumar, Rajesh Ranjan, Flow Predictions behind NACA 2412 Aerofoil Using Physics-Informed Machine Learning Accepted in International Conference on Computational Fluid Dynamics (ICCFD12), Kobe, JAPAN 2024

• Prashant Kumar, Rajesh Ranjan, Evaluation of Physics-informed Machine Learning Approach
  for Computation of Fluid Flows
  . Presented in 10th International and 50th National Conference on Fluid Mechanics and Fluid Power (FMFP), 2023

• Prashant Kumar, Saurabh Singh Chauhan, Prasenjit Dey, Effect of Corner Curvature of Square Cylinder on Flow Transition and Heat Transfer, 1st International Conference on Fluid Thermal and Energy Systems (ICFTES2022)

Posters

• Prashant Kumar, Rajesh Ranjan, Prediction of Shocks using a Consistent PINN-based Approach, at EMS-TAG-SciML-25, POLIMI, Italy in March 2025.

• Prashant Kumar, Rajesh Ranjan, Prediction of Shocks using a Consistent PINN-based Approach, at PMRF Symposium, IITH, in March 2025.

📋 Experience

Teaching Experience

• Tutor: GPU Architectures and Programming (NPTEL-CS37), IIT Kharagpur, Jan-Apr 2025.

• Tutor: Computational Fluid Dynamics and Heat Transfer (NPTEL-ME131), IIT Kanpur, July-Nov 2024.

• Instructor: Scientific Machine Learning (SciML - Webinar), NIT Goa, Feb - Apr, 2024.

• TA: AE646: Machine Learning for Fluid Mechanics, IIT Kanpur, Aug - Nov, 2023.

Professional Experience

• Project Assistant : Design of Gas Turbine for Energy Storage, Indian Institute of Technology, Ropar, Designed a Radial Gas Turbine for High Temperature and Pressure (Numerical CFD Simulation in ANSYS Fluent), Nov - Dec, 2022.

• Graduate Engineer Trainee, Larsen & Toubro, Worked in the Plant and Machinery Department on the Construction of the Nuclear Power Plant, Kudankulam, Tamil Nadu, Jul - Oct, 2022.

✨ Relevant Courses

• TURBULENCE (AE621A)

• APPLIED COMPUTATIONAL FLUID DYNAMICS (AE661A)

• INSTABILITIES IN FLUID FLOWS (ME698W)

• HIGH PERFORMANCE COMPUTING AND APPLICATIONS (IDC606A)

• PARALLEL COMPUTING (CS633)

• AERODYNAMICS-II (AE612)

⭐ Skills

• Languages: C/C++, Fortran, MATLAB, Python

• Parallel Computing: MPI, CUDA, Cupy

• Machine Learning Libraries : DeepXDE, Nvidia-Modulus, PyTorch

• CFD Software: OpenFOAM, Ansys Fluent, Tecplot

• Others: Autodesk Fusion 360, Microsoft Office, LATEX

🏸 Extracurricular Activities

• Winner of CASML 2024 Scientific ML Challenge (1st place)

• Attended NSM Workshop on CFD & Parallel Computing - IIT Hyderabad

References

PhD Supervisor: Dr. Rajesh Ranjan | rajeshr@iitk.ac.in

📬 Contact

Reach me at kumarp22@iitk.ac.in or on LinkedIn athttps://www.linkedin.com/in/prashant-kumar-432b03185 Let's connect and learn together!

Thanks for stopping by my corner of the internet! 💫