Konstantinos Tatsis
Papers
1
Total Citations
16
H-Index
1
About
Konstantinos Tatsis is a leading researcher in structural health monitoring and earthquake engineering, with a focus on advancing motion-tracking technologies for large-scale infrastructure. His key research areas include sensor fusion, rotational seismology, and dynamic system identification. Tatsis is best known for his pioneering work on integrating collocated acceleration, GNSS, and rotation data to achieve six-component (6C) motion tracking—a critical capability for capturing both translational and rotational ground motions during seismic events or ambient structural vibrations. His most-cited paper (2021, 16 citations) introduces a Kalman filter-based fusion framework that overcomes the limitations of individual sensors, enabling comprehensive 6C motion reconstruction for earthquake analysis and structural monitoring. This work has significant implications for improving the safety and resilience of bridges, dams, and high-rise buildings. Tatsis’s contributions are widely recognized for bridging the gap between theoretical sensor fusion and practical engineering applications, with his research cited by peers in civil engineering, seismology, and geophysics. His innovative approach continues to shape how engineers monitor and protect critical infrastructure against dynamic loads.
Research Focus
Key Achievements
Top Papers
- 1