Parantapa Bhattacharya

Publication Activity (10 Years)

Years Active: 2012-2023
Publications (10 Years): 23

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Publications

Parantapa Bhattacharya, Jiangzhuo Chen, Stefan Hoops, Dustin Machi, Bryan L. Lewis, Srinivasan Venkatramanan, Mandy L. Wilson, Brian Klahn, Aniruddha Adiga, Benjamin Hurt, Joseph Outten, Abhijin Adiga, Andrew S. Warren, Young Yun Baek, Przemyslaw J. Porebski, Achla Marathe, Dawen Xie, Samarth Swarup, Anil Vullikanti, Henning S. Mortveit, Stephen G. Eubank, Christopher L. Barrett, Madhav Vinayak Marathe
Data-driven scalable pipeline using national agent-based models for real-time pandemic response and decision support. Int. J. High Perform. Comput. Appl. 37 (1) (2023)
Galen Harrison, Przemyslaw J. Porebski, Jiangzhuo Chen, Mandy L. Wilson, Henning S. Mortveit, Parantapa Bhattacharya, Dawen Xie, Stefan Hoops, Anil Vullikanti, Li Xiong, James Joshi, Madhav V. Marathe
Synthetic Information and Digital Twins for Pandemic Science: Challenges and Opportunities. TPS-ISA (2023)
Jiameng Pu, Zain Sarwar, Sifat Muhammad Abdullah, Abdullah Rehman, Yoonjin Kim, Parantapa Bhattacharya, Mobin Javed, Bimal Viswanath
Deepfake Text Detection: Limitations and Opportunities. SP (2023)
Jan de Mooij, Parantapa Bhattacharya, Davide Dell'Anna, Mehdi Dastani, Brian Logan, Samarth Swarup
A framework for modeling human behavior in large-scale agent-based epidemic simulations. Simul. 99 (12) (2023)
Parantapa Bhattacharya, Saptarshi Ghosh, Niloy Ganguly
Analyzing Regrettable Communications on Twitter: Characterizing Deleted Tweets and Their Authors. CoRR (2022)
Jiameng Pu, Zain Sarwar, Sifat Muhammad Abdullah, Abdullah Rehman, Yoonjin Kim, Parantapa Bhattacharya, Mobin Javed, Bimal Viswanath
Deepfake Text Detection: Limitations and Opportunities. CoRR (2022)
Parantapa Bhattacharya, Saptarshi Ghosh, Muhammad Bilal Zafar, Soumya K. Ghosh, Niloy Ganguly
What You Like: Generating Explainable Topical Recommendations for Twitter Using Social Annotations. CoRR (2022)
Jiangzhuo Chen, Stefan Hoops, Achla Marathe, Henning S. Mortveit, Bryan L. Lewis, Srinivasan Venkatramanan, Arash Haddadan, Parantapa Bhattacharya, Abhijin Adiga, Anil Vullikanti, Aravind Srinivasan, Mandy L. Wilson, Gal Ehrlich, Maier Fenster, Stephen G. Eubank, Christopher L. Barrett, Madhav V. Marathe
Effective Social Network-Based Allocation of COVID-19 Vaccines. KDD (2022)
Jiameng Pu, Neal Mangaokar, Lauren Kelly, Parantapa Bhattacharya, Kavya Sundaram, Mobin Javed, Bolun Wang, Bimal Viswanath
Deepfake Videos in the Wild: Analysis and Detection. WWW (2021)
Sandipan Sikdar, Parantapa Bhattacharya, Kieran Heese
Integrated Directional Gradients: Feature Interaction Attribution for Neural NLP Models. ACL/IJCNLP (1) (2021)
Jan de Mooij, Davide Dell'Anna, Parantapa Bhattacharya, Mehdi Dastani, Brian Logan, Samarth Swarup
Using Agent-Based Simulation to Investigate Behavioural Interventions in a Pandemic using Mobility Data. AMPM@JURIX (2021)
Dustin Machi, Parantapa Bhattacharya, Stefan Hoops, Jiangzhuo Chen, Henning S. Mortveit, Srinivasan Venkatramanan, Bryan L. Lewis, Mandy L. Wilson, Arindam Fadikar, Tom Maiden, Christopher L. Barrett, Madhav V. Marathe
Scalable Epidemiological Workflows to Support COVID-19 Planning and Response. IPDPS (2021)
Parantapa Bhattacharya, A. Jan de Mooij, Davide Dell'Anna, Mehdi Dastani, Brian Logan, Samarth Swarup
PanSim + Sim-2APL: A Framework for Large-Scale Distributed Simulation with Complex Agents. EMAS@AAMAS (2021)
Parantapa Bhattacharya, Dustin Machi, Jiangzhuo Chen, Stefan Hoops, Bryan L. Lewis, Henning S. Mortveit, Srinivasan Venkatramanan, Mandy L. Wilson, Achla Marathe, Przemyslaw Porebski, Brian Klahn, Joseph Outten, Anil Vullikanti, Dawen Xie, Abhijin Adiga, Shawn Brown, Christopher L. Barrett, Madhav Marathe
AI-Driven Agent-Based Models to Study the Role of Vaccine Acceptance in Controlling COVID-19 Spread in the US. IEEE BigData (2021)
Jiameng Pu, Neal Mangaokar, Lauren Kelly, Parantapa Bhattacharya, Kavya Sundaram, Mobin Javed, Bolun Wang, Bimal Viswanath
Deepfake Videos in the Wild: Analysis and Detection. CoRR (2021)
Jan de Mooij, Davide Dell'Anna, Parantapa Bhattacharya, Mehdi Dastani, Brian Logan, Samarth Swarup
Quantifying the Effects of Norms on COVID-19 Cases Using an Agent-Based Simulation. MABS (2021)
Neal Mangaokar, Jiameng Pu, Parantapa Bhattacharya, Chandan K. Reddy, Bimal Viswanath
Jekyll: Attacking Medical Image Diagnostics using Deep Generative Models. CoRR (2021)
Akhil Sai Peddireddy, Dawen Xie, Pramod Patil, Mandy L. Wilson, Dustin Machi, Srinivasan Venkatramanan, Brian Klahn, Przemyslaw Porebski, Parantapa Bhattacharya, Shirish Dumbre, Erin Raymond, Madhav Marathe
From 5Vs to 6Cs: Operationalizing Epidemic Data Management with COVID-19 Surveillance. IEEE BigData (2020)
Neal Mangaokar, Jiameng Pu, Parantapa Bhattacharya, Chandan K. Reddy, Bimal Viswanath
Jekyll: Attacking Medical Image Diagnostics using Deep Generative Models. EuroS&P (2020)
Parantapa Bhattacharya, Saliya Ekanayake, Chris J. Kuhlman, Christian Lebiere, Don Morrison, Samarth Swarup, Mandy L. Wilson, Mark G. Orr
The Matrix: An Agent-Based Modeling Framework for Data Intensive Simulations. AAMAS (2019)
Abir De, Sourangshu Bhattacharya, Parantapa Bhattacharya, Niloy Ganguly, Soumen Chakrabarti
Learning Linear Influence Models in Social Networks from Transient Opinion Dynamics. ACM Trans. Web 13 (3) (2019)
Parantapa Bhattacharya, Niloy Ganguly
Characterizing Deleted Tweets and Their Authors. ICWSM (2016)
Muhammad Bilal Zafar, Parantapa Bhattacharya, Niloy Ganguly, Saptarshi Ghosh, Krishna P. Gummadi
On the Wisdom of Experts vs. Crowds: Discovering Trustworthy Topical News in Microblogs. CSCW (2016)
Muhammad Bilal Zafar, Parantapa Bhattacharya, Niloy Ganguly, Krishna P. Gummadi, Saptarshi Ghosh
Sampling Content from Online Social Networks: Comparing Random vs. Expert Sampling of the Twitter Stream. ACM Trans. Web 9 (3) (2015)
Abir De, Sourangshu Bhattacharya, Parantapa Bhattacharya, Niloy Ganguly, Soumen Chakrabarti
Learning a Linear Influence Model from Transient Opinion Dynamics. CIKM (2014)
Parantapa Bhattacharya, Saptarshi Ghosh, Juhi Kulshrestha, Mainack Mondal, Muhammad Bilal Zafar, Niloy Ganguly, Krishna P. Gummadi
Deep Twitter diving: exploring topical groups in microblogs at scale. CSCW (2014)
Parantapa Bhattacharya, Muhammad Bilal Zafar, Niloy Ganguly, Saptarshi Ghosh, Krishna P. Gummadi
Inferring user interests in the Twitter social network. RecSys (2014)
Saptarshi Ghosh, Muhammad Bilal Zafar, Parantapa Bhattacharya, Naveen Kumar Sharma, Niloy Ganguly, P. Krishna Gummadi
On sampling the wisdom of crowds: random vs. expert sampling of the twitter stream. CIKM (2013)
Vijay Mann, Akanksha Gupta, Partha Dutta, Anilkumar Vishnoi, Parantapa Bhattacharya, Rishabh Poddar, Aakash Iyer
Remedy: Network-Aware Steady State VM Management for Data Centers. Networking (1) (2012)
Vijay Mann, Anilkumar Vishnoi, Aakash Iyer, Parantapa Bhattacharya
VMPatrol: Dynamic and automated QoS for virtual machine migrations. CNSM (2012)