PRATHYUSH SAMBATURU

ABOUT ME

I’m a postdoctoral researcher in network science and computational epidemiology in Department of Biology at the University of Oxford. Previously, I completed a Ph.D. in Computer Science at the University of Virginia (UVA) under the guidance of Prof. Anil Vullikanti at the Biocomplexity Institute and Initiative, UVA. Also, I completed a Master of Science (MS) by Research at IIIT Hyderabad under the guidance of Prof. Kamalakar Karlapalem and Prof. Kishore Kothapalli.

Research Interests:

Network Science

Computational Epidemiology

Stochastic) Combinatorial Optimization

Explainable Artificial Intelligence

Mastodon: Mastodon

PUBLICATIONS (in reverse chronological order) [c: conference, w: workshop (archived), j: journal, p: poster]

c5. PREEMPT: Scalable Epidemic Interventions Using Submodular Optimization on Multi-GPU Systems. Marco Minutoli, Prathyush Sambaturu, Mahantesh Halappanavar, Antonino Tumeo, Ananth Kalyananaraman, Anil Vullikanti. Super Computing 2020 (SC20).

j1. 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. https://publichealth.jmir.org/2020/3/e12842/ [Impact Factor: 5.03]

c4. 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 2020. Auckland, NZ. Acceptance Rate: 23% [Selected as one of the premier papers at AAMAS with an invitation to submit extended version to JAAMAS journal]

c3. Efficient Algorithms for Generating Provably Near-Optimal Cluster Descriptors for Explainability. Prathyush Sambaturu, Aparna Gupta, Ian Davidson, S.S. Ravi, Anil Vullikanti, Andrew Warren. AAAI Conference on Artificial Intelligence 2020. New York, USA. Acceptance Rate : 20.6%

c2. Designing Robust Interventions To Control Epidemic Outbreaks. Prathyush Sambaturu, Anil Vullikanti. The 8th International Conference on Complex Networks and their Applications 2019. Lisbon, Portugal.

p1. My4Sight: Human Computing to Improve Disease Forecasting. Mandy L. Wilson, Doaa Altarawy, Prathyush Sambaturu, Bryan Lewis, Samarth Swarup, Anil Vullikanti, Madhav V. Marathe. The Chemical and Biological Defense Science & Technology Conference, Long Beach, CA, USA, Nov 2017.

c1. CCCG: Clique Conversion Ratio Driven Clustering of Graphs. Prathyush Sambaturu, Kamalakar Karlapalem. Pacific-Asia Conference on Knowledge Discovery and Data Mining 2017. pp. 762-773. Jeju, South Korea. Acceptance Rate: ~ 28%.

w1. NERTUW: Named Entity Recognition on Tweets using Wikipedia. Sandhya Sachidanandan, Prathyush Sambaturu, Kamalakar Karlapalem. Making Sense of Microposts, World Wide Web Conference (WWW) 2013: 67-70. Rio de Janeiro, Brazil.