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disseminate high-quality peer-reviewed outputs in leading conferences and journals, such as CORE A* venues and top-tier international publications. Expertise in reinforcement learning, multi-agent systems, and
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Agentic Retrieval-Augmented Generation (Agentic RAG) architectures, multi-agent systems, and integration of heterogeneous data sources; - Design, development, and integration of Agentic RAG architectures
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technologies, theories, and approaches. Using digital twins, multi-agent systems, and artificial intelligence, amongst other disruptive technologies, combined with advanced tracking techniques, we intend
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 6 hours ago
mission development as well as societal applications. The overarching goal of this project is to enhance ISSM’s capability, scalability, and accessibility by developing a multi-modular, agentic AI framework
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transport, supply chain and logistics modelling to contribute to the development and use of the MILES (Multimodal Integrated Logistics for Simulation) and MATRA (Multi-Agent Transport Resilience and
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, abandonment, comments, peer interaction) Formalization of algorithms for orchestrating educational AI agents : Train RL and LLM agents and study multi-objective optimization (mastery, well-being stability) Work
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discovery methods to enable a search for explanatory multi-level agent-based models that can be calibrated to - and validated against - such empirical phenomena. Funding Notes This is a self-funded research
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Located in the fastest-growing region of the state, the University of North Georgia is a multi-campus university with an enrollment of over 20,000 students, making it one of the largest institutions
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systems for aligning real-world health data to standards like OMOP CDM, FHIR, and UMLS Agent-based workflows that explain, refine, and adapt semantic mappings over time Hybrid architectures that combine
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Motion Planning in harsh and dynamic GPS-denied environments - Autonomous inspection planning with persistent semantic scene abstraction for advanced reasoning and task planning - Multi-agent collaborative