Theory/Science: Artificial Intelligence and Machine Learning topics – Autonomous Agents; Multi-Agent Systems; Decentralized Systems; Metareasoning; Trust and Reputation; Algorithm Design; Machine Learning; Deep Learning
Applications: Human-machine-teaming; Operator State Assessment; Opponent Modeling – Ad-hoc networks of mobile autonomous agents; Trust and Anomaly Detection; Intrusion Detection; Self-Healing Networks; Assessing, predicting, and augmenting human performance in dynamic workload task environments; Seismic event detection and location; Hyperspectral data exploitation; LIDAR data exploitation; Hyperspectral & LIDAR fusion; Sensor data exploitation.