Sponsored research opportunities that leverage expertise in robotics, control theory, nonlinear dynamics, and artificial intelligence to address real-world challenges in manufacturing, agriculture, healthcare, and space exploration.
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Tan Chen’s research spans artificial intelligence and machine learning, with emphasis on efficient learning, evolutionary optimization, and reinforcement learning for complex systems. Applications include robotics and control, materials discovery, and computational biology.
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