D. K. M. Kufoalor
Papers
1
Total Citations
46
H-Index
1
About
Dr. D. K. M. Kufoalor is a leading researcher in autonomous maritime systems, with a primary focus on digital twin technology, fault diagnosis, and adaptive filtering for autonomous surface vehicles. His most impactful contribution is the development of a novel digital twin-driven fault diagnosis framework, which integrates graphical models with an adaptive extended Kalman filter algorithm. This approach significantly advances traditional methods by treating fault parameters as extended states, enabling real-time, accurate detection and isolation of system anomalies in complex marine environments. His seminal 2023 paper on this topic has already garnered 46 citations, reflecting its rapid influence on both academic research and practical applications in autonomous navigation and maritime safety. Dr. Kufoalor’s work bridges the gap between theoretical control systems and real-world deployment, offering robust solutions for enhancing the reliability and autonomy of unmanned vessels. His research is widely recognized for its innovation in merging digital twins with adaptive estimation, positioning him as a key figure in the next generation of intelligent maritime systems.
Research Focus
Key Achievements
Top Papers
- 1Digital Twin-Driven Fault Diagnosis for Autonomous Surface Vehicles46 citations · 2023