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