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fundamental problems arising in mathematical fluid dynamics and turbulence, including regularity properties of solutions to the Navier-Stokes, Euler, and related equations, dissipation anomaly, Onsager’s
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. Possible research topics include: Scientific machine learning Numerical partial differential equations (PDEs) Computational fluid dynamics Neural operators High-performance computing Data-driven
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and reinforcement learning for real-time optimization, fault self-recovery, and production scheduling in industrial processes. Publish research results in top-tier international conferences and journals
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) optimization theory, numerical analysis, and applied mathematics. Our Research Interests: The AI + Quantum Group focuses on the frontier of AI + Quantum—the deep integration of artificial intelligence with
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to validate and optimize the developed technologies in real industrial environments. Publish high-quality academic papers and participate in writing research grant proposals. ESSENTIAL QUALIFICATIONS
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, optimization theory, information theory
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) or discrete manufacturing (e.g., electronics assembly, automotive, home appliances). Explore the integration of large language models and reinforcement learning for real-time optimization, fault self
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, -- partial differential equations and in particular Navier-Stokes equations, -- stochastic analysis, -- mathematical theory for artificial intelligence, -- optimization and numerical computation over manifold
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appliances). Explore the integration of large language models and reinforcement learning for real-time optimization, fault self-recovery, and production scheduling in industrial processes. Publish research