| 2026 | ISIT | Detecting Mutual Excitations in Non-Stationary Hawkes Processes. | Elchanan Mossel, Anirudh Sridhar |
| 2024 | COLT | Finding Super-spreaders in Network Cascades. | Elchanan Mossel, Anirudh Sridhar |
| 2023 | AAAI | Recovering the Graph Underlying Networked Dynamical Systems under Partial Observability: A Deep Learning Approach. | Sergio Machado, Anirudh Sridhar, Paulo Gil, Jorge Henriques, Jos M. F. Moura, Augusto Santos |
| 2023 | ISIT | Matching Correlated Inhomogeneous Random Graphs using the k-core Estimator. | Mikls Z. Rcz, Anirudh Sridhar |
| 2023 | ISIT | Quickest Inference of Susceptible-Infected Cascades in Sparse Networks. | Anirudh Sridhar, Tirza Routtenberg, H. Vincent Poor |
| 2022 | COLT | Exact Community Recovery in Correlated Stochastic Block Models. | Julia Gaudio, Mikls Z. Rcz, Anirudh Sridhar |
| 2021 | ICASSP | Bayes-Optimal Methods for Finding the Source of a Cascade. | Anirudh Sridhar, H. Vincent Poor |
| 2021 | ICASSP | Leveraging A Multiple-Strain Model with Mutations in Analyzing the Spread of Covid-19. | Anirudh Sridhar, Osman Yagan, Rashad Eletreby, Simon A. Levin, Joshua B. Plotkin, H. Vincent Poor |
| 2020 | ACSSC | Sequential Estimation of Network Cascades. | Anirudh Sridhar, H. Vincent Poor |
| 2020 | ICASSP | On Distributed Stochastic Gradient Algorithms for Global Optimization. | Brian Swenson, Anirudh Sridhar, H. Vincent Poor |
| 2016 | CCS | Client-CASH: Protecting Master Passwords against Offline Attacks. | Jeremiah Blocki, Anirudh Sridhar |