In an increasingly digitized and interconnected world, network-based modeling paradigms provide an analytical lens to understand the complex ecosystem of interactions throughout the life cycle of information flow, from how we share information to how we perform computations, collaborate, and make inference. My research focuses on a foundational understanding of networked systems, with an emphasis on uncovering fundamental properties, improving resilience, and providing formal performance guarantees. To this end, I work with an interdisciplinary toolkit spanning stochastic modeling, network science, optimization, and data science. Key application areas include enabling reliable communication and computations in decentralized systems and countering misinformation and extreme polarization in social networks.
M. Sood, A. Sridhar, R. Eletreby, C. W. Wu, S. A. Levin, H.V. Poor, O. Yagan, Spreading Processes with Mutations over Multi-layer Networks, Proceedings of the National Academy of Sciences (PNAS) 2023.
M. Sood, O. Yagan, Existence and Size of the Giant Component in Inhomogeneous Random K-out Graphs, IEEE Transactions on Information Theory 2023.
M. Sood, O. Yagan, On the Minimum Node Degree and k-connectivity in Inhomogeneous Random K-out Graphs, IEEE Transactions on Information Theory 2021.
M. Sood, O. Yagan, Tight Bounds for the Probability of Connectivity in Random K-out Graphs, IEEE International Conference on Communications (ICC) 2021. (best paper award)
M. Sood, R. Eletreby, S. Kumar, C. W. Wu, O. Yagan, The Interplay of Clustering and Evolution in the Emergence of Epidemics on Networks, IEEE International Conference on Communications (ICC) 2023.
M. Sood, A. Sridhar, R. Eletreby, C. W. Wu, H.V. Poor, O. Yagan , ‘Epidemic Spreading of Mutating Contagions over Multi-layer Contact Networks’, (Abstract), International Conference on Network Science (Netsci) 2021.
E. Elumar, M. Sood, O. Yagan, On the Connectivity and Giant Component Size of Random K-out Graphs Under Randomly Deleted Nodes, IEEE International Symposium on Information Theory (ISIT) 2021 .
M. Sood, O. Yagan, On the Size of the Giant Component in Inhomogeneous Random K-out Graphs, IEEE Conference of Decision and Control (CDC) 2020.
M. Sood, O. Yagan, k-Connectivity in Random Graphs induced by Pairwise Key Predistribution Schemes, IEEE International Symposium on Information Theory (ISIT) 2020.
M. Sood, O. Yagan, Towards k-connectivity in Heterogeneous Sensor Networks under Pairwise Key Predistribution, IEEE Global Communications Conference (GLOBECOM) 2019.
M. Sood, S. Moharir & A. A. Kulkarni, Pricing and Commission in Two-Sided Markets with Free Upgrades, Springer’s Lecture Notes in Computer Science (LNCS) 2018, preliminary version appeared in IEEE International Conference on Communication Systems and Networks (COMSNETS) 2018.
M. Sood, A. A. Kulkarni & S. Moharir, Platform Competition for Throughput in Two-sided Freelance Markets, IEEE International Conference on Signal Processing and Communications (SPCOM) 2018, extended version.