Prathyush Sambaturu

PRATHYUSH SAMBATURU

433 Seymour Rd, Apt 5

Charlottesville, VA

United States of America

email: pks6mk (at) virginia (dot) edu

ABOUT ME

I'm a PhD candidate in Computer Science at the University of Virginia (UVA). I work under the guidance of Prof. Anil Vullikanti at the Biocomplexity Institute and Initiative at UVA. Previously, I completed a Master of Science by Research at IIIT Hyderabad under the guidance of Prof. Kamalakar Karlapalem and Prof. Kishore Kothapalli.

Research Interests:

(Stochastic) Combinatorial Optimization
Network Science
Explainable Artificial Intelligence
Computational Epidemiology

Note: Resume available on request.

Google Scholar

DBLP Profile

LinkedIn Profile

RECENT NEWS

April, 2021: Presenting my poster at UVERS 2021 (Link to UVERS page).
March, 2021: Our abstract, on my doctoral research, is accepted for a poster presentation at the 17th annual University of Virginia Engineering Research Symposium (UVERS).
March, 2021: Excited to announce that I am now a member of the Models of Infectious Disease Agent Study (MIDAS) network.
November, 2020: Presented our work on scalable epidemic interventions along with the lead author Marco Minutoli (from PNNL) at the Super Computing 2020 conference. Link: https://www.eventscribe.net/2020/SC20/index.asp?presTarget=1473739
August, 2020: Our paper (Minutoli et al.) with collaborators from Pacific Northwest National Laboratory (PNNL) and Washington State University, titled "PREEMPT: Scalable Epidemic Interventions Using Submodular Optimization on Multi-GPU Systems " , is accepted for publication at Super Computing 2020 (Link: https://sc20.supercomputing.org/presentation/?id=pap510&sess=sess158 )
May, 2020: Our AAMAS paper is accepted "as one of the premier papers at AAMAS " with an invitation to submit an extended version to JAAMAS journal.
May, 2020: Attended my first virtual conference (AAMAS) from May 9-13.
April, 2020: Our journal paper entitled "An automated approach for finding spatio-temporal patterns in disease spread" is accepted for publication at the JMIR Public Health and Surveillance. [Impact Factor: 5.03] Link to preprint: https://preprints.jmir.org/preprint/12842/accepted.
March, 2020: The blot post I wrote for Academic Chatter on "Failure in Academia" is now online: https://academic-chatter.com/blog/failure-in-academia/ .
February, 2020: Attended the AAAI Conference in New York City and presented a poster (and a spotlight talk) on our work on Explainable AI.
January, 2020: Our paper entitled "Designing Effective and Practical Interventions to Contain Epidemics" is accepted as a Full Paper for presentation at the International Conference on Autonomous Agents and Multi-Agent Systems 2020 (AAMAS'20). Conference Page
December, 2019: Received Student Travel Award from AAAI'20 to present our work.
November, 2019: Our paper entitled "Efficient Algorithms for Generating Provably Near-Optimal Cluster Descriptors for Explainability" is accepted by the AAAI Conference on Artificial Intelligence (AAAI'20). Accepted Papers List