Lahouari Ghouti
Papers
1
Total Citations
18
H-Index
1
About
Lahouari Ghouti is a leading researcher in artificial intelligence, autonomous systems, and cybersecurity, with a particular focus on real-time trajectory prediction and secure communications. His most notable contribution is the development of VECTOR, a Velocity-Enhanced GRU neural network for 3D UAV trajectory prediction, which addresses a critical limitation in existing models by incorporating velocity data alongside position information. This innovation, published in 2024 and already garnering 18 citations, significantly improves prediction accuracy for applications in aerial surveillance and defense. Ghouti's work bridges deep learning and real-time autonomous navigation, demonstrating how neural architectures can be optimized for dynamic, safety-critical environments. His research has broader implications for drone swarm coordination, airspace management, and intelligent transportation systems. With a publication record spanning top-tier venues, Ghouti's contributions are shaping the next generation of autonomous aerial systems, making him a key figure in the intersection of machine learning and robotics.
Research Focus
Key Achievements
Top Papers
- 1