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generalization across tasks. Hierarchical and modular agent architectures to enable scalable coordination. Design and implement simulation environments, integrating real-world data and domain-specific constraints
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. Investigate and build robust data and AI agent pipelines for continuous learning and knowledge acquisition, including annotation strategies and knowledge graph development for aquaculture stress events. Design
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optimization. Focus on AI-assisted secure IC design, with domain adapted LLM, ML in front-end design, simulation tools for chiplet-based/oriented prototypes Investigate and apply AI principles for IC design, RTL
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