The research primarily focuses on algorithm design, theoretical foundations, and computational methods for solving complex optimization and control problems across diverse applications such as traffic networks, energy systems, and social networks. Theoretical advancements are complemented by practical insights that address real-world challenges through interdisciplinary approaches, emphasizing the integration of machine learning techniques to enhance problem-solving capabilities in these domains.
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