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Naman Agarwal is a PhD Candidate at the Schulich School of Engineering, specializing in Geomatics Engineering. His doctoral research focuses on GNSS positioning and sensor fusion, with an emphasis on Android smartphone GNSS positioning. He has extensive experience in applying Kalman filtering techniques and adaptive estimation for measurement noise integration in GNSS Doppler, which enhances motion modeling. Naman is proficient in precise positioning algorithms, including PPP and RTK, and has implemented methods for fault detection and exclusion (FDE), as well as cycle slip detection and repair of carrier-phase GNSS data. His studies also cover inertial navigation systems and their integration with GPS, aiming to incorporate smartphone inertial sensors for improved positioning. Alongside his research, he has served as a teaching assistant for various courses, contributing to the education of future geomatics engineers.
Department of Computer Science Master's program. GRE scores are expected for international students.