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aryan-prabhu/README.md

Aryan Prabhu

M.Tech Aerospace Engineering (Dynamics & Control), IIT Bombay. I work on Bayesian state estimation — particle filters, Kalman family, and scientific computing for aerospace autonomy. Targeting a PhD in the Netherlands (2027).

Featured projects

  • ste-bayesian-localisation — Bayesian source-term estimation in 2D atmospheric dispersion: SIR particle filter, Gaussian-plume likelihood, Fisher-information sensor analysis. Includes a controlled experiment that falsifies an intuitive sensor-placement hypothesis.
  • estimation-benchmarking-dashboard — interactive KF / EKF / UKF / Particle-Filter benchmark on the UNGM nonlinear model, filters implemented from scratch (React + Recharts).

Stack  Python (NumPy · SciPy · Pandas) · MATLAB / Simulink · C/C++ · React / TypeScript · LaTeX

📫 aryanprabhu1792003@gmail.com

Pinned Loading

  1. estimation-benchmarking-dashboard estimation-benchmarking-dashboard Public

    Interactive benchmarking dashboard comparing KF, EKF, UKF, and Particle Filter on the UNGM nonlinear system. Built with React + Recharts.

    JavaScript

  2. ste-bayesian-localisation ste-bayesian-localisation Public

    Bayesian source term estimation in 2D atmospheric dispersion — SIR particle filter, Gaussian plume forward model, Fisher Information analysis. M.Tech research, IIT Bombay.

    Python