Research
My research lies in probability theory and network science, with a focus on random graphs, stochastic processes, stochastic geometry, and centrality in networks. I am particularly interested in the interplay between local structure and global behavior in large random networks.
Research Interests
- Probability theory
- Stochastic processes
- Random graphs
- Large Deviations
- Local convergence
- Associative memory models
Publications
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Connectivity of random graphs after centrality-based vertex removal
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Are giants in random digraphs “almost” local?
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Communication protocol for a satellite-swarm interferometer for low-frequency radio astronomy
Preprints and Submitted Manuscripts
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Bringing order to network centrality measures
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Modelling active particle motion from fluorescence correlation spectroscopy data
Thesis
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Centrality measures and connectivity properties in large networks
Expository Writing
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Centrality Measures: Who Is the Most Important in a Network?
Important Links
For research-related inquiries, collaborations, or seminar invitations.
m.pandey@math.au.dkCurriculum Vitae
Academic CV including publications, positions, teaching, and awards.
Download CVThesis
Ph.D. thesis on centrality measures and connectivity properties in large networks.
View thesisGitHub
Code repositories, personal website source, and related academic projects.
Visit GitHub⬅️ Back to Home