Area of research
Artificial Intelligence · Statistical and Nonlinear Physics
Research interest
Research interests include Neural Networks and Applications, Complex Network Analysis Techniques, Theoretical and Computational Physics, and Neural dynamics and brain function.
Distribution of the number of cycles in directed and undirected random regular graphs of degree 2
The mean and variance of the distribution of shortest path lengths of random regular graphs
Fate of articulation points and bredges in percolation
Statistical analysis of edges and bredges in configuration model networks
Generating random networks that consist of a single connected component with a given degree distribution
Revealing the microstructure of the giant component in random graph ensembles
Statistical analysis of articulation points in configuration model networks
Distribution of shortest cycle lengths in random networks
Distance distribution in configuration-model networks
Signalling entropy: A novel network-theoretical framework for systems analysis and interpretation of functional omic data