Artificial intelligence is the computer modeling of intelligent behavior, including but not limited to modeling the human mind. We see it as an interdisciplinary field where computer science intersects with philosophy, psychology, linguistics, engineering, and other fields. Example areas of AI expertise at UGA include natural language processing, logical reasoning and decision making, evolutionary computing, neural networks, robotics, intelligent information systems, vision, and expert systems to name a few.
Personnel
Research Focus:
Artificial intelligence & Robotics
Decision-Making under Uncertainty, Multi-Agent Systems
Reinforcement Learning, Learning from demonstrations
Explainable AI, Graph Analytics, Anomaly detection, Data Mining
Heterogeneous Multi-Robot Systems
Wireless Ad Hoc Robotic Networks
Search and Rescue Robotics
Human-Robot Interfaces for Intelligent Teleoperation
Robotics in Precision Agriculture
Computer Vision • Machine Learning • Deep Neural Networks • Learning With Limited Labels • Image Understanding in 3D Geometry • Human Analysis • Face Analysis and Synthesis • Generative Models • Object Detection and Scene Understanding • Context Modeling •…
Machine Learning in Precision Agriculture, Machine Learning in Audio