Badariah Bais
Papers
1
Total Citations
26
H-Index
1
About
Dr. Badariah Bais is a leading researcher in micro-electro-mechanical systems (MEMS) and sensor technology, with a particular focus on low-cost, high-accuracy solutions for robotics and embedded systems. Her most cited work, a 2016 study on implementing MEMS gyroscopes and accelerometers without a Kalman Filter for angle estimation, has garnered 26 citations and addresses a critical challenge in robotics: achieving precise tilt angle measurement using affordable components. This contribution is notable for simplifying sensor fusion, making accurate angle estimation more accessible for real-time applications. Beyond this, Dr. Bais’s research spans sensor calibration, signal processing, and the development of robust, cost-effective navigation systems. Her work has significant implications for autonomous vehicles, drones, and industrial automation, where reliable orientation data is essential. By demonstrating that high performance can be achieved without complex filtering algorithms, she has provided a practical pathway for engineers and researchers to enhance system efficiency. Dr. Bais continues to advance the field, bridging the gap between theoretical sensor design and real-world deployment, and her contributions are widely recognized for their impact on accessible, high-precision sensing technology.
Research Focus
Key Achievements
Top Papers
- 1