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

RECENT NEWS ARCHIVE

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). (Paper)

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% (Paper) [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% (Paper) (ArXiV)[Details] [Code] [Poster]

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. (Paper) [Poster]

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. [Poster]

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%. (Paper)

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. (Paper)

EDUCATION

• Doctor of Philosophy in Computer Science at the University of Virginia, Charlottesville. 2015 - 2021 (expected). Transferred from Virginia Tech.

Advisor: Prof. Anil Vullikanti.

• Master of Science in Computer Science at the International Institute of Information Technology (IIIT-H), Hyderabad, India. 2012-2015.

Thesis: A Study on Compositional Features of Graphs. (Link) Advisor(s): Prof. Kamalakar Karlapalem and Prof. Kishore Kothapalli.

HOBBIES

• Reading: nonfiction, history, and fiction. Brewing a pot of tea and reading while sipping it is my favorite pastime.

• Music: Keyboard. Listening to classical music of the following styles: Western, Hindustani and Carnatic.