The research of the Mathematics department is spread across core areas pure and applied mathematics, integrating theory, computation, and real-world applications. Foundational work in algebra, geometry, topology, analysis, and mathematical physics advances the theoretical framework of modern mathematics. Research in graph theory, combinatorics, and machine learning explores discrete structures and algorithms relevant to data, networks, and intelligent systems.

Complementing above, computational and data-driven mathematics, together with probability, statistics, and stochastic modeling, addresses the large-scale computation, uncertainty, and inference. Research in optimization, dynamics, control, and applied mathematics focuses on modeling, analysis, and decision-making in complex systems. Overall, the department promotes strong interaction between theory and applications, supporting interdisciplinary research and mathematical innovation.

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