Tejaswi studies stochastic hybrid systems, uncertainty propagation on manifolds, and geometric numerical methods. His doctoral research addressed data-driven control of a bioinspired flapping-wing UAV.
At FDCL
- Postdoctoral research · 2024–2026
- Doctoral study · 2020–2023
- Master’s study · 2019–2020
Doctoral dissertation
Data-driven controls of a flapping wing unmanned aerial vehicle inspired by monarch butterfly
Ph.D., 2023
