Languages
- C
- C++
- Fortran
- Python
- MATLAB
- CUDA C
ABOUT
Prasanna Thoguluva Rajendran · Ph.D. Student in Aerospace Engineering
I am Prasanna Thoguluva Rajendran, a Ph.D. student in Aerospace Engineering at the University of Arizona. I am currently affiliated with the Computational Multiphase Transport Laboratory in the Department of Aerospace & Mechanical Engineering. My current research focuses on active flow control with reinforcement learning, high-order CFD, and scalable scientific computing. Earlier work in hypersonic plasma and MHD continues to inform my approach to modeling and simulation, while my present emphasis is DRL-CFD flow control.
RESEARCH INTERESTS
Active flow control, DRL-CFD coupling, and high-order computational methods.
- Deep reinforcement learning for active flow control
- CFD-coupled policy optimization for aerodynamic regulation
- High-order methods (DG/FR, spectral element)
- Reproducible HPC workflows for simulation-driven learning
- Robust state/reward design in physically constrained control settings
TECHNICAL SKILLS
Methods and tooling I use in day-to-day research development.
RESEARCH PHILOSOPHY
I prioritize reproducible and technically rigorous research pipelines where numerical setup, training configuration, and evaluation criteria are explicit and auditable.