Posted September 18, 2026
In September 2026, Shinan successfully passed his PhD candidacy examination in the MANE Department at Rensselaer Polytechnic Institute. His research develops data-driven health- monitoring methods for multirotor unmanned aerial vehicles that can detect, locate, and quantify propeller damage under realistic operating and flight conditions. By combining time-series modeling, statistical hypothesis testing, and Bayesian inference, his work aims to improve the reliability and safety of UAV systems while accounting for uncertainty and variability in real-world measurements.