Prashant Kumar

Contact Information

• Phone: +91-6204758429
• Email: [email protected]

Education

• PhD in Aerospace Engineering

  • Indian Institute of Technology, Kanpur
  • Jan 2023 - Exp. Dec 2027
  • CGPA: 9.25

• B.Tech in Mechanical Engineering

  • National Institute of Technology, Goa
  • 2018 - 2022
  • CGPA: 8.55

• Higher Secondary School (PCM)

  • St. John's Academy, Mahua Vaishali, Bihar
  • 2018
  • Percentage: 78.8

• Senior Secondary School

  • St. John's Academy, Mahua Vaishali, Bihar
  • 2016
  • CGPA: 10

Publications

1. Evaluation of Physics-informed Machine Learning Approach for Computation of Fluid Flows

   • Submitted in 10th International and 50th National Conference on Fluid Mechanics and Fluid Power (FMFP), 2023

2. Effect of Corner Curvature of Square Cylinder on Flow Transition and Heat Transfer

   • Proceedings of the 1st International Conference in Fluid Thermal and Energy Systems, (ICFTES2022)

Projects

• Design of Gas Turbine for Energy Storage

  • RMML lab, IIT Ropar
  • Non 2022 - Dec 2022
  • • Design of Radial Gas turbine for High Temperature and Pressure (Numerical CFD Simulation in ANSYS Fluent).
  • • Studied the effect of supercritical CO2 on the critical flow of Turbine.

• Unique Shear Layer Topology Evaluation Dictating Flow Transition over a Square Cylinder with Rounded Corners (Major Project - B.Tech)

  • Aug 2021 - May 2022
  • • Studied dependency of Lift & Drag Coefficient and Nusselt Number on shape of the bluff body.
  • • Found Critical Reynolds Number for Creep flow Transition, 2-D steady to unsteady transition, 2-D unsteady to 3-D unsteady transition.

Work Experience

• Graduate Engineer Trainee
  • Larsen & Toubro
  • July - Oct 2022
  • Worked in Plant and Machinery Department in Construction of Nuclear Power Plant, Kudankulam, Tamilnadu.

Technical Skills and Interests

• Languages: C/C++, Fortran, MATLAB, Python
• Machine Learning Libraries: DeepXDE, TensorFlow, PyTorch
• CFD Software: OpenFOAM, Ansys Fluent, Tecplot
• Other Tools: Autodesk Fusion 360, Microsoft Office, LaTeX
• Relevant Coursework: Instabilities of Fluid Flows(ME698W), Turbulence(AE621A), Applied Computational Fluid Dynamics(AE661A)
• Current Relevant Coursework: High Performance Computing and its Application(IDC606A)
• Areas of Interest: Scientific Machine Learning, Turbomachinery Flows, Aerodynamics, Instability

Extracurricular Activities

• NSM Workshop for training in CFD, IIT Hyderabad
  • June 2023
  • Learned Parallel Computing using OpenMP, MPI, and OpenACC for CPU and GPU parallelism.

References

• PhD Supervisor
  • Dr. Rajesh Ranjan
  • Email: [email protected]

Major Collaborator for code @payal2000jha :)