Robert Fonod  —  Research Interests

Machine/Deep Learning (ML/DL) and Data Science

• Fusion of Data-driven and Model-based Techniques

• Deep Computer Vision Systems

• Explainable AI (XAI)

Guidance, Navigation, and Control (GNC)

• Intertwined Guidance and Estimation in Cooperative Systems

• Nonlinear State Estimation and Target Tracking

• Ballistic Guidance Design and Analysis

Fault Detection, Isolation, and Recovery (FDIR)

• Robust Fault Detection and Isolation

• Uncertainty and Time-delay Modelling

• Control Re-allocation