VMPatrol: Dynamic and automated QoS for virtual machine migrations. - Vijay Mann; Anilkumar Vishnoi; Aakash Iyer; Parantapa Bhattacharya (CNSM, 2012)

Remedy: Network-Aware Steady State VM Management for Data Centers. - Vijay Mann; Akanksha Gupta; Partha Dutta; Anilkumar Vishnoi; Parantapa Bhattacharya; Rishabh Poddar; Aakash Iyer (Networking (1), 2012)

On sampling the wisdom of crowds: random vs. expert sampling of the twitter stream. - Saptarshi Ghosh 001; Muhammad Bilal Zafar; Parantapa Bhattacharya; Naveen Kumar Sharma; Niloy Ganguly; P. Krishna Gummadi (CIKM, 2013)

Learning a Linear Influence Model from Transient Opinion Dynamics. - Abir De; Sourangshu Bhattacharya; Parantapa Bhattacharya; Niloy Ganguly; Soumen Chakrabarti (CIKM, 2014)

Deep Twitter diving: exploring topical groups in microblogs at scale. - Parantapa Bhattacharya; Saptarshi Ghosh 001; Juhi Kulshrestha; Mainack Mondal; Muhammad Bilal Zafar; Niloy Ganguly; Krishna P. Gummadi (CSCW, 2014)

Inferring user interests in the Twitter social network. - Parantapa Bhattacharya; Muhammad Bilal Zafar; Niloy Ganguly; Saptarshi Ghosh 001; Krishna P. Gummadi (RecSys, 2014)

Sampling Content from Online Social Networks: Comparing Random vs. Expert Sampling of the Twitter Stream. - Muhammad Bilal Zafar; Parantapa Bhattacharya; Niloy Ganguly; Krishna P. Gummadi; Saptarshi Ghosh 001 (ACM Trans. Web, 2015)

On the Wisdom of Experts vs. Crowds: Discovering Trustworthy Topical News in Microblogs. - Muhammad Bilal Zafar; Parantapa Bhattacharya; Niloy Ganguly; Saptarshi Ghosh 001; Krishna P. Gummadi (CSCW, 2016)

Characterizing Deleted Tweets and Their Authors. - Parantapa Bhattacharya; Niloy Ganguly (ICWSM, 2016)

The Matrix: An Agent-Based Modeling Framework for Data Intensive Simulations. - Parantapa Bhattacharya; Saliya Ekanayake; Chris J. Kuhlman; Christian Lebiere; Don Morrison; Samarth Swarup; Mandy L. Wilson; Mark G. Orr (AAMAS, 2019)

Learning Linear Influence Models in Social Networks from Transient Opinion Dynamics. - Abir De; Sourangshu Bhattacharya; Parantapa Bhattacharya; Niloy Ganguly; Soumen Chakrabarti (ACM Trans. Web, 2019)

From 5Vs to 6Cs: Operationalizing Epidemic Data Management with COVID-19 Surveillance. - 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 (IEEE BigData, 2020)

Jekyll: Attacking Medical Image Diagnostics using Deep Generative Models. - Neal Mangaokar; Jiameng Pu; Parantapa Bhattacharya; Chandan K. Reddy; Bimal Viswanath (EuroS&P, 2020)

Integrated Directional Gradients: Feature Interaction Attribution for Neural NLP Models. - Sandipan Sikdar; Parantapa Bhattacharya; Kieran Heese (ACL/IJCNLP (1), 2021)

AI-Driven Agent-Based Models to Study the Role of Vaccine Acceptance in Controlling COVID-19 Spread in the US. - 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; et al. (IEEE BigData, 2021)

PanSim + Sim-2APL: A Framework for Large-Scale Distributed Simulation with Complex Agents. - Parantapa Bhattacharya; A. Jan de Mooij; Davide Dell'Anna; Mehdi Dastani; Brian Logan 001; Samarth Swarup (EMAS@AAMAS, 2021)

Scalable Epidemiological Workflows to Support COVID-19 Planning and Response. - 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 (IPDPS, 2021)

Using Agent-Based Simulation to Investigate Behavioural Interventions in a Pandemic using Mobility Data. - Jan de Mooij; Davide Dell'Anna; Parantapa Bhattacharya; Mehdi Dastani; Brian Logan 001; Samarth Swarup (AMPM@JURIX, 2021)

Quantifying the Effects of Norms on COVID-19 Cases Using an Agent-Based Simulation. - Jan de Mooij; Davide Dell'Anna; Parantapa Bhattacharya; Mehdi Dastani; Brian Logan 001; Samarth Swarup (MABS, 2021)

Deepfake Videos in the Wild: Analysis and Detection. - Jiameng Pu; Neal Mangaokar; Lauren Kelly; Parantapa Bhattacharya; Kavya Sundaram; Mobin Javed; Bolun Wang; Bimal Viswanath (WWW, 2021)

Large-scale Data-driven Agent-based Simulation of Covid-19. - Jan de Mooij; Davide Dell'Anna; Parantapa Bhattacharya; Mehdi Dastani; Brian Logan 001; Samarth Swarup (Zenodo, 2021)

Sim-2APL - A Practical Agent Programming Language for Simulation. - Jan de Mooij; Davide Dell'Anna; Parantapa Bhattacharya; Mehdi Dastani; Brian Logan 001; Samarth Swarup (Zenodo, 2021)

Effective Social Network-Based Allocation of COVID-19 Vaccines. - 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; et al. (KDD, 2022)

Analyzing Regrettable Communications on Twitter: Characterizing Deleted Tweets and Their Authors. - Parantapa Bhattacharya; Saptarshi Ghosh 001; Niloy Ganguly (CoRR, 2022)

What You Like: Generating Explainable Topical Recommendations for Twitter Using Social Annotations. - Parantapa Bhattacharya; Saptarshi Ghosh 001; Muhammad Bilal Zafar; Soumya K. Ghosh 001; Niloy Ganguly (CoRR, 2022)

Deepfake Text Detection: Limitations and Opportunities. - Jiameng Pu; Zain Sarwar; Sifat Muhammad Abdullah; Abdullah Rehman; Yoonjin Kim; Parantapa Bhattacharya; Mobin Javed; Bimal Viswanath (SP, 2023)

Synthetic Information and Digital Twins for Pandemic Science: Challenges and Opportunities. - 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 (TPS-ISA, 2023)

Data-driven scalable pipeline using national agent-based models for real-time pandemic response and decision support. - 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; et al. (Int. J. High Perform. Comput. Appl., 2023)

A framework for modeling human behavior in large-scale agent-based epidemic simulations. - Jan de Mooij; Parantapa Bhattacharya; Davide Dell'Anna; Mehdi Dastani; Brian Logan 001; Samarth Swarup (Simul., 2023)

Novel multi-cluster workflow system to support real-time HPC-enabled epidemic science: Investigating the impact of vaccine acceptance on COVID-19 spread. - Parantapa Bhattacharya; Dustin Machi; Jiangzhuo Chen; Stefan Hoops; Bryan Lewis 001; Henning S. Mortveit; Srinivasan Venkatramanan; Mandy L. Wilson; Achla Marathe; Przemyslaw J. Porebski; Brian Klahn; Joseph Outten; et al. (J. Parallel Distributed Comput., 2024)

Prediction of Hospital Associated Infections During Continuous Hospital Stays. - Rituparna Datta; Methun Kamruzzaman; Eili Y. Klein; Gregory Madden; Xinwei Deng; Anil Vullikanti; Parantapa Bhattacharya (CoRR, 2025)