Project Concept

1. Control, AI, and Computational Neuroscience
2. New Challenges: Intelligent Multi-Agent Systems

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Research Directions

1. Design of hierachical control architectures for multi-agent systems that share a single environment
2. Perception systems:
   • hierarchical aggregation
   • wide area surveillance
   • low-level perception
3. Frameworks for representing and reasoning with uncertainty
4. Incorporation of learning and adaptation in the agents
5. Soft computing approaches to intelligence augmentation for human centered systems

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Application Testbeds

1. Intelligent Vehicle Highway Systems(IVHS) test bed
2. Air Traffic Management Systems test bed
3. Intelligent TeleMedicine test bed
4. Intelligent Unmanned Aerial Robot (DV8)

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Research Projects

1. From Architectures to Emergent Behavior: Tools for the Specification, Design and Simulation of Multi-Agent Hybrid Systems
2. Hybrid Control System Design Methodologies
3. Hybrid Control Verification Methodologies and Tools
4. Perception Hierarchies
5. Biological Neural Network Models for Data Compression and Classification
6. Intelligent Agents for Complex, Uncertain Environments
7. Research in Adaptation and Learning
8. Soft Computing Approaches for Intelligence Augmentation of Human Centered Systems

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