Parantapa Bhattacharya

34 papers A* 4A 10B 2C 1Journal 11Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Prediction of Hospital Associated Infections During Continuous Hospital Stays. AAAI Rituparna Datta, Methun Kamruzzaman, Eili Y. Klein, Gregory Madden, Xinwei Deng, Anil Vullikanti, Parantapa Bhattacharya
2025	A	`conf`	DIMPLES: Distributed Influence Maximization for Pandemic pLanning on Exascale Systems. ICS Marco Minutoli, Reece Neff, Naw Safrin Sattar, Hao Lu, John Feo, Henning S. Mortveit, Anil Vullikanti, Dawen Xie, Mandy L. Wilson, Gregor von Laszewski, Parantapa Bhattacharya, S. M. Ferdous, Ananth Kalyanaraman, Michela Becchi, Madhav V. Marathe, Mahantesh Halappanavar
2025	J	`jnl`	Prediction of Hospital Associated Infections During Continuous Hospital Stays. CoRR Rituparna Datta, Methun Kamruzzaman, Eili Y. Klein, Gregory Madden, Xinwei Deng, Anil Vullikanti, Parantapa Bhattacharya
2024	J	`jnl`	Novel multi-cluster workflow system to support real-time HPC-enabled epidemic science: Investigating the impact of vaccine acceptance on COVID-19 spread. J. Parallel Distributed Comput. Parantapa Bhattacharya, Dustin Machi, Jiangzhuo Chen, Stefan Hoops, Bryan Lewis, Henning S. Mortveit, Srinivasan Venkatramanan, Mandy L. Wilson, Achla Marathe, Przemyslaw J. Porebski, Brian Klahn, Joseph Outten, Anil Vullikanti, Dawen Xie, Abhijin Adiga, Shawn Brown, Christopher L. Barrett, Madhav V. Marathe
2023	J	`jnl`	A framework for modeling human behavior in large-scale agent-based epidemic simulations. Simul. Jan de Mooij, Parantapa Bhattacharya, Davide Dell'Anna, Mehdi Dastani, Brian Logan, Samarth Swarup
2023	J	`jnl`	Data-driven scalable pipeline using national agent-based models for real-time pandemic response and decision support. Int. J. High Perform. Comput. Appl. 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
2023	A*	`conf`	Deepfake Text Detection: Limitations and Opportunities. SP Jiameng Pu, Zain Sarwar, Sifat Muhammad Abdullah, Abdullah Rehman, Yoonjin Kim, Parantapa Bhattacharya, Mobin Javed, Bimal Viswanath
2023	—	`conf`	Synthetic Information and Digital Twins for Pandemic Science: Challenges and Opportunities. TPS-ISA 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
2022	J	`jnl`	Analyzing Regrettable Communications on Twitter: Characterizing Deleted Tweets and Their Authors. CoRR Parantapa Bhattacharya, Saptarshi Ghosh, Niloy Ganguly
2022	J	`jnl`	Deepfake Text Detection: Limitations and Opportunities. CoRR Jiameng Pu, Zain Sarwar, Sifat Muhammad Abdullah, Abdullah Rehman, Yoonjin Kim, Parantapa Bhattacharya, Mobin Javed, Bimal Viswanath
2022	A*	`conf`	Effective Social Network-Based Allocation of COVID-19 Vaccines. KDD 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
2022	J	`jnl`	What You Like: Generating Explainable Topical Recommendations for Twitter Using Social Annotations. CoRR Parantapa Bhattacharya, Saptarshi Ghosh, Muhammad Bilal Zafar, Soumya K. Ghosh, Niloy Ganguly
2021	—	`conf`	AI-Driven Agent-Based Models to Study the Role of Vaccine Acceptance in Controlling COVID-19 Spread in the US. IEEE BigData Parantapa Bhattacharya, Dustin Machi, Jiangzhuo Chen, Stefan Hoops, Bryan L. Lewis, Henning S. Mortveit, Srinivasan Venkatramanan, Mandy L. Wilson, Achla Marathe, Przemyslaw J. Porebski, Brian Klahn, Joseph Outten, Anil Vullikanti, Dawen Xie, Abhijin Adiga, Shawn Brown, Christopher L. Barrett, Madhav V. Marathe
2021	A*	`conf`	Deepfake Videos in the Wild: Analysis and Detection. WWW Jiameng Pu, Neal Mangaokar, Lauren Kelly, Parantapa Bhattacharya, Kavya Sundaram, Mobin Javed, Bolun Wang, Bimal Viswanath
2021	J	`jnl`	Deepfake Videos in the Wild: Analysis and Detection. CoRR Jiameng Pu, Neal Mangaokar, Lauren Kelly, Parantapa Bhattacharya, Kavya Sundaram, Mobin Javed, Bolun Wang, Bimal Viswanath
2021	—	`conf`	Integrated Directional Gradients: Feature Interaction Attribution for Neural NLP Models. ACL/IJCNLP (1) Sandipan Sikdar, Parantapa Bhattacharya, Kieran Heese
2021	J	`jnl`	Jekyll: Attacking Medical Image Diagnostics using Deep Generative Models. CoRR Neal Mangaokar, Jiameng Pu, Parantapa Bhattacharya, Chandan K. Reddy, Bimal Viswanath
2021	—	`conf`	PanSim + Sim-2APL: A Framework for Large-Scale Distributed Simulation with Complex Agents. EMAS@AAMAS Parantapa Bhattacharya, A. Jan de Mooij, Davide Dell'Anna, Mehdi Dastani, Brian Logan, Samarth Swarup
2021	C	`conf`	Quantifying the Effects of Norms on COVID-19 Cases Using an Agent-Based Simulation. MABS Jan de Mooij, Davide Dell'Anna, Parantapa Bhattacharya, Mehdi Dastani, Brian Logan, Samarth Swarup
2021	A	`conf`	Scalable Epidemiological Workflows to Support COVID-19 Planning and Response. IPDPS 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
2021	—	`conf`	Using Agent-Based Simulation to Investigate Behavioural Interventions in a Pandemic using Mobility Data. AMPM@JURIX Jan de Mooij, Davide Dell'Anna, Parantapa Bhattacharya, Mehdi Dastani, Brian Logan, Samarth Swarup
2020	—	`conf`	From 5Vs to 6Cs: Operationalizing Epidemic Data Management with COVID-19 Surveillance. IEEE BigData Akhil Sai Peddireddy, Dawen Xie, Pramod Patil, Mandy L. Wilson, Dustin Machi, Srinivasan Venkatramanan, Brian Klahn, Przemyslaw J. Porebski, Parantapa Bhattacharya, Shirish Dumbre, Erin Raymond, Madhav V. Marathe
2020	A	`conf`	Jekyll: Attacking Medical Image Diagnostics using Deep Generative Models. EuroS&P Neal Mangaokar, Jiameng Pu, Parantapa Bhattacharya, Chandan K. Reddy, Bimal Viswanath
2019	J	`jnl`	Learning Linear Influence Models in Social Networks from Transient Opinion Dynamics. ACM Trans. Web Abir De, Sourangshu Bhattacharya, Parantapa Bhattacharya, Niloy Ganguly, Soumen Chakrabarti
2019	A	`conf`	The Matrix: An Agent-Based Modeling Framework for Data Intensive Simulations. AAMAS Parantapa Bhattacharya, Saliya Ekanayake, Chris J. Kuhlman, Christian Lebiere, Don Morrison, Samarth Swarup, Mandy L. Wilson, Mark G. Orr
2016	A	`conf`	Characterizing Deleted Tweets and Their Authors. ICWSM Parantapa Bhattacharya, Niloy Ganguly
2016	A	`conf`	On the Wisdom of Experts vs. Crowds: Discovering Trustworthy Topical News in Microblogs. CSCW Muhammad Bilal Zafar, Parantapa Bhattacharya, Niloy Ganguly, Saptarshi Ghosh, Krishna P. Gummadi
2015	J	`jnl`	Sampling Content from Online Social Networks: Comparing Random vs. Expert Sampling of the Twitter Stream. ACM Trans. Web Muhammad Bilal Zafar, Parantapa Bhattacharya, Niloy Ganguly, Krishna P. Gummadi, Saptarshi Ghosh
2014	A	`conf`	Deep Twitter diving: exploring topical groups in microblogs at scale. CSCW Parantapa Bhattacharya, Saptarshi Ghosh, Juhi Kulshrestha, Mainack Mondal, Muhammad Bilal Zafar, Niloy Ganguly, Krishna P. Gummadi
2014	A	`conf`	Inferring user interests in the Twitter social network. RecSys Parantapa Bhattacharya, Muhammad Bilal Zafar, Niloy Ganguly, Saptarshi Ghosh, Krishna P. Gummadi
2014	A	`conf`	Learning a Linear Influence Model from Transient Opinion Dynamics. CIKM Abir De, Sourangshu Bhattacharya, Parantapa Bhattacharya, Niloy Ganguly, Soumen Chakrabarti
2013	A	`conf`	On sampling the wisdom of crowds: random vs. expert sampling of the twitter stream. CIKM Saptarshi Ghosh, Muhammad Bilal Zafar, Parantapa Bhattacharya, Naveen Kumar Sharma, Niloy Ganguly, P. Krishna Gummadi
2012	B	`conf`	Remedy: Network-Aware Steady State VM Management for Data Centers. Networking (1) Vijay Mann, Akanksha Gupta, Partha Dutta, Anilkumar Vishnoi, Parantapa Bhattacharya, Rishabh Poddar, Aakash Iyer
2012	B	`conf`	VMPatrol: Dynamic and automated QoS for virtual machine migrations. CNSM Vijay Mann, Anilkumar Vishnoi, Aakash Iyer, Parantapa Bhattacharya