Mudathir Awadaljeed
Papers
1
Total Citations
16
H-Index
1
About
Mudathir Awadaljeed is a researcher specializing in sensor fusion, structural health monitoring, and seismic motion tracking. His work addresses a critical gap in earthquake engineering and structural dynamics: the inability of any single sensor to capture all six components of ground or structural motion—three translational and three rotational. His most-cited paper, "Kalman Filter-Based Fusion of Collocated Acceleration, GNSS and Rotation Data for 6C Motion Tracking" (2021, 16 citations), introduces a novel approach that fuses data from accelerometers, GNSS receivers, and rotational sensors to reconstruct full six-degree-of-freedom motion. This contribution is significant for improving the accuracy of seismic response analysis and monitoring large engineered structures under dynamic loads. By enabling comprehensive motion tracking, Awadaljeed's work enhances the understanding of rotational effects during earthquakes, which are often overlooked yet critical for structural safety. His research has implications for early warning systems, post-event assessment, and the design of resilient infrastructure. With a growing citation record, Awadaljeed is establishing himself as a key contributor to the integration of multi-sensor data for advanced motion sensing and structural health monitoring.
Research Focus
Key Achievements
Top Papers
- 1