Spectral graph theory
Using spectral perspectives to understand graph structure, operators, and learning behavior.
I study graph-structured intelligence for dynamic, uncertain, and interconnected systems, with current emphasis on theory, cross-network dynamics, and AI systems.
Using spectral perspectives to understand graph structure, operators, and learning behavior.
Studying uncertainty quantification, inference, and intervention in graph-driven dynamical systems.
Understanding how heterogeneous networks interact, couple, and evolve together over time.
Searching for broader principles that unify dynamics, interaction, and controllability on graphs.