My research at CMU focuses on developing mathematical frameworks to model real-world networks using analytical techniques in probability, graph theory, learning and optimization. My current research in network science focuses on: i) mitigating the spread of misinformation over social networks and infectious diseases over contact networks;  ii) designing reliably connected network topologies with applications in sensor networks, cryptocurrency networks and distributed learning.
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My Masters Thesis at IIT Bombay entailed Optimization and Game Theoretic analysis of two-sided marketplaces.

​Here is a list of my publications.

Preprints

1. M. Sood, O. Yagan, Tight Bounds for Connectivity of Random K-out Graph.
2. M. Sood, O. Yagan,  On the Minimum Node Degree and k-connectivity in Inhomogeneous Random K-out Graphs.
3. M. Sood, A. A. Kulkarni & S. Moharir, Platform Competition for Throughput & Revenue in Two-sided Freelance Markets.

Publications

1. M. Sood, O. Yagan, On the Size of the Giant Component in Inhomogeneous Random K-out Graphs, to appear in IEEE Conference of Decision and Control (CDC) 2020.
2. M. Sood, O. Yagan, k-Connectivity in Random Graphs induced by Pairwise Key Predistribution Schemes, Proceedings of IEEE International Symposium on Information Theory (ISIT) 2020. 
3. M. Sood, O. Yagan, Towards k-connectivity in Heterogeneous Sensor Networks under Pairwise Key Predistribution, Proceedings of IEEE Global Communications Conference (GLOBECOM) 2019. 
4. 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 Proceedings of IEEE International Conference on Communication Systems and Networks 2018. 
5. M. Sood, A. A. Kulkarni & S. Moharir, Platform Competition for Throughput in Two-sided Freelance Markets, Proceedings of IEEE International Conference on Signal Processing and Communications 2018.