Publications

Peer-Reviewed Publications & Under Review

1. Scenario-specific Control of Multi-pathway Spread Processes: Application to Biological Invasions
   Prathyush Sambaturu, Manisha Sudhir, Hongze Chen, Anil Vullikanti, Rangaswamy Muniappan, and Abhijin Adiga.
   PNAS Nexus, Volume 5, Issue 3, March 2026.

2. Transmission lineage dynamics and the detection of viral importation in emerging epidemics
   Joseph L-H Tsui, Prathyush Sambaturu, Rosario Evans Pena, Linus Too, Bernardo Gutierrez, Rhys Inward, Moritz UG Kraemer, Louis du Plessis, Oliver G Pybus.
   Epidemics, Volume 54, March 2026, 100893.

3. The Role of Climate Change in the Expansion of Dengue
   Rafael de Abreu et al., Prathyush Sambaturu, et al.
   medRxiv, 2025. DOI: 10.1101/2025.10.06.25337235.

4. Identifying and Characterising Higher Order Interactions in Mobility Networks Using Hypergraphs
   Prathyush Sambaturu, Bernardo Gutierrez, Moritz UG Kraemer.
   arXiv, 2025. (Under Review)

5. Scalable, open-access and multidisciplinary data integration pipeline for climate-sensitive diseases
   Abhishek Dasgupta et al., Prathyush Sambaturu, et al., Moritz U.G. Kraemer.
   Wellcome Open Research, 2025, 10:467. Version 2; peer review: 3 approved.

6. Toward optimal disease surveillance with graph-based active learning
   Joseph L-H Tsui, Mengyan Zhang, Prathyush Sambaturu, Simon Busch-Moreno, Marc A Suchard, Oliver G Pybus, Seth Flaxman, Elizaveta Semenova, Moritz UG Kraemer.
   Proceedings of the National Academy of Sciences (PNAS), 121(52), e2412424121, 2024.

7. Impacts of climate change-induced human migration on infectious diseases
   Joseph Tsui et al., Moritz Kraemer, Houriiyah Tegally, Prathyush Sambaturu.
   Nature Climate Change, 2024.
   Corresponding and Senior Author

8. Scalable and Memory-Efficient Algorithms for Controlling Networked Epidemic Processes Using Multiplicative Weights Update Method
   Prathyush Sambaturu, Marco Minutoli, Mahantesh Halappanavar, Ananth Kalyanaraman, Anil Vullikanti.
   31st International Joint Conference on Artificial Intelligence (IJCAI), pp. 5164-5170, 2022.

9. PREEMPT: Scalable Epidemic Interventions Using Submodular Optimization on Multi-GPU Systems
   Marco Minutoli, Prathyush Sambaturu, Mahantesh Halappanavar, Antonino Tumeo, Ananth Kalyanaraman, Anil Vullikanti.
   International Conference for High Performance Computing, Networking, Storage and Analysis (SC), 2020.

10. An automated approach for finding spatio-temporal patterns in disease spread
    Prathyush Sambaturu, Parantapa Bhattacharya, Jiangzhuo Chen, Bryan Lewis, Madhav Marathe, Srinivasan Venkataramanan, Anil Vullikanti.
    JMIR Public Health and Surveillance, 2020.
    Preprint

11. Designing Effective and Practical Interventions to Contain Epidemics
    Prathyush Sambaturu, Bijaya Adhikari, B. Aditya Prakash, Srinivasan Venkatramanan, Anil Vullikanti.
    International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), Auckland, New Zealand, 2020.
    Distinction: Selected as one of the premier papers at AAMAS, with an invitation to submit an extended version to JAAMAS.

12. Efficient Algorithms for Generating Provably Near-Optimal Cluster Descriptors for Explainability
    Prathyush Sambaturu, Aparna Gupta, Ian Davidson, S.S. Ravi, Anil Vullikanti, Andrew Warren.
    34th AAAI Conference on Artificial Intelligence (AAAI), New York, USA, 2020.

13. Designing Robust Interventions To Control Epidemic Outbreaks
    Prathyush Sambaturu, Anil Vullikanti.
    8th International Conference on Complex Networks and Their Applications, Lisbon, Portugal, 2019.

14. CCCG: Clique Conversion Ratio Driven Clustering of Graphs
    Prathyush Sambaturu, Kamalakar Karlapalem.
    Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), pp. 762-773, Jeju, South Korea, 2017.

15. NERTUW: Named Entity Recognition on Tweets using Wikipedia
    Sandhya Sachidanandan, Prathyush Sambaturu, Kamalakar Karlapalem.
    Making Sense of Microposts, World Wide Web Conference (WWW), pp. 67-70, Rio de Janeiro, Brazil, 2013.
    Short Paper