M. S. Selezneva
Papers
2
Total Citations
6
H-Index
2
About
M. S. Selezneva is a researcher advancing the reliability of micro-electro-mechanical system (MEMS) gyroscopes for autonomous and robotic applications. Her work focuses on nonlinear estimation and multiphysics modeling to overcome the inherent drift and sensitivity uncertainties in commercial-grade MEMS sensors. In her 2023 paper, "Nonlinear Robust Bias Observer for MEMS Gyros Using Noninertial Attitude Sensor Measurement," she introduced a novel observer that addresses the limitations of linear drift models, enabling more accurate bias estimation in dynamic robotic environments. Building on this, her 2025 work, "Online Aggregate Modeling of Time-Varying Multiphysics Field-Coupling MEMS Gyro Bias," tackles the challenge of real-time modeling for bias influenced by coupled thermal, mechanical, and electrical fields—critical for automotive and transportation systems. Though early in her career, with papers accumulating citations (4 and 2 respectively), Selezneva’s contributions are timely and impactful, offering practical solutions for high-precision navigation. Her research bridges theoretical control and sensor physics, marking her as an emerging expert in robust MEMS gyro compensation.
Research Focus
Key Achievements
Top Papers
- 1
- 2