


Summer School on Spectral Graph TheoryJune 1719, 2023Distinguished Speaker: Organizer:
The eigenvalues and eigenvectors of the matrices associated with a graph are extensively studied in spectral graph theory. These linearalgebraic quantities convey powerful information about the graph. Thus, spectral graph theory enables a thorough exploration of the structure and dynamics of a graph, particularly in the case of large graphs and big data scenarios. Spectral graph theory has a wide range of realworld applications in various fields, including chemistry, biology, computer science, electrical engineering, civil engineering, naval engineering, mining engineering, urban planning, economics, finance, and social science. It is commonly used in the design of efficient algorithms for various subspecialties of computer science and engineering. Therefore, it is an intriguing topic for exploration. Contact: Dr. Md. Saidur Rahman
