Parantapa Bhattacharya

Parantapa Bhattacharya

University of Virginia

H-index: 17

North America-United States

About Parantapa Bhattacharya

Parantapa Bhattacharya, With an exceptional h-index of 17 and a recent h-index of 14 (since 2020), a distinguished researcher at University of Virginia, specializes in the field of High Performance Computing, Agent Based Modelling, Data Mining, Explainable AI, Natural Language Processing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Potential impact of annual vaccination with reformulated COVID-19 vaccines: lessons from the US COVID-19 Scenario Modeling Hub

Evaluation of the US COVID-19 Scenario Modeling Hub for informing pandemic response under uncertainty

Synthetic Information and Digital Twins for Pandemic Science: Challenges and Opportunities

Informing pandemic response in the face of uncertainty. An evaluation of the US COVID-19 Scenario Modeling Hub

Deepfake text detection: Limitations and opportunities

Data-driven scalable pipeline using national agent-based models for real-time pandemic response and decision support

Impact of SARS-CoV-2 vaccination of children ages 5–11 years on COVID-19 disease burden and resilience to new variants in the United States, November 2021–March 2022: A multi …

Interpretability of Deep Neural Models

Parantapa Bhattacharya Information

University

Position

Postdoctoral Associate Biocomplexity Institute & Initiative

Citations(all)

904

Citations(since 2020)

515

Cited By

525

hIndex(all)

17

hIndex(since 2020)

14

i10Index(all)

20

i10Index(since 2020)

18

Email

University Profile Page

Google Scholar

Parantapa Bhattacharya Skills & Research Interests

High Performance Computing

Agent Based Modelling

Data Mining

Explainable AI

Natural Language Processing

Top articles of Parantapa Bhattacharya

Synthetic Information and Digital Twins for Pandemic Science: Challenges and Opportunities

2023/11/1

Deepfake text detection: Limitations and opportunities

2023/5/21

Data-driven scalable pipeline using national agent-based models for real-time pandemic response and decision support

The International Journal of High Performance Computing Applications

2023/1

Interpretability of Deep Neural Models

2023/12/30

Parantapa Bhattacharya
Parantapa Bhattacharya

H-Index: 9

A framework for modeling human behavior in large-scale agent-based epidemic simulations

Simulation

2023/12

What You Like: Generating Explainable Topical Recommendations for Twitter Using Social Annotations

arXiv preprint arXiv:2212.13897

2022/12/23

Analyzing Regrettable Communications on Twitter: Characterizing Deleted Tweets and Their Authors

arXiv preprint arXiv:2212.12594

2022/12/23

Using Agent-Based Simulation to Investigate Behavioral Interventions in a Pandemic Simulating Behavioral Interventions in a Pandemic

CEUR Workshop Proceedings

2022

Ai-driven agent-based models to study the role of vaccine acceptance in controlling covid-19 spread in the us

2021/12/15

173. Deciphering COVID-19-Associated Effects on Hospital MRSA Transmission and Social Networks

Open Forum Infectious Diseases

2021/11

Integrated directional gradients: Feature interaction attribution for neural NLP models

2021/8

Parantapa Bhattacharya
Parantapa Bhattacharya

H-Index: 9

Scalable epidemiological workflows to support covid-19 planning and response

2021/5/17

PanSim+ Sim-2APL: a framework for large-scale distributed simulation with complex agents

2021/5/3

Quantifying the effects of norms on COVID-19 cases using an agent-based simulation

2021/5/3

See List of Professors in Parantapa Bhattacharya University(University of Virginia)

Co-Authors

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