Srinivasan Venkatramanan

Orcid: 0000-0002-0874-8692

Affiliations:
  • Biocomplexity Institute of Virginia Tech, USA


According to our database1, Srinivasan Venkatramanan authored at least 41 papers between 2010 and 2024.

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Bibliography

2024
Network Agency: An Agent-based Model of Forced Migration from Ukraine.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

A Generalizable Theory-Driven Agent-Based Framework to Study Conflict-Induced Forced Migration.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

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


Phase-Informed Bayesian Ensemble Models Improve Performance of COVID-19 Forecasts.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Evaluating the Utility of High-Resolution Proximity Metrics in Predicting the Spread of COVID-19.
ACM Trans. Spatial Algorithms Syst., 2022

Effective Social Network-Based Allocation of COVID-19 Vaccines.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Enhancing COVID-19 Ensemble Forecasting Model Performance Using Auxiliary Data Sources.
Proceedings of the IEEE International Conference on Big Data, 2022

CausalGNN: Causal-Based Graph Neural Networks for Spatio-Temporal Epidemic Forecasting.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
A Population Model for Academia: Case Study of the Computer Science Community Using DBLP Bibliography 1960-2016.
IEEE Trans. Emerg. Top. Comput., 2021


All Models Are Useful: Bayesian Ensembling for Robust High Resolution COVID-19 Forecasting.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Scalable Epidemiological Workflows to Support COVID-19 Planning and Response.
Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021

AI-Driven Agent-Based Models to Study the Role of Vaccine Acceptance in Controlling COVID-19 Spread in the US.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Cohorting to Isolate Asymptomatic Spreaders: An Agent-Based Simulation Study on the Mumbai Suburban Railway.
Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2020
Models for COVID-19 Pandemic: A Comparative Analysis.
CoRR, 2020

From 5Vs to 6Cs: Operationalizing Epidemic Data Management with COVID-19 Surveillance.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Examining Deep Learning Models with Multiple Data Sources for COVID-19 Forecasting.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Designing Effective and Practical Interventions to Contain Epidemics.
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2019
Optimizing spatial allocation of seasonal influenza vaccine under temporal constraints.
PLoS Comput. Biol., 2019

2018
User modeling and usage profiling based on temporal posting behavior in OSNs.
Online Soc. Networks Media, 2018

Calibrating a Stochastic, Agent-Based Model Using Quantile-Based Emulation.
SIAM/ASA J. Uncertain. Quantification, 2018

Profiling OSN Users Based on Temporal Posting Patterns.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Using Network Reliability to Understand International Food Trade Dynamics.
Proceedings of the Complex Networks and Their Applications VII, 2018

2017
A Framework for Evaluating Epidemic Forecasts.
CoRR, 2017

Spatio-Temporal Optimization of Seasonal Vaccination Using a Metapopulation Model of Influenza.
Proceedings of the 2017 IEEE International Conference on Healthcare Informatics, 2017

Epidemic Forecasting Framework Combining Agent-Based Models and Smart Beam Particle Filtering.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Towards robust models of food flows and their role in invasive species spread.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016
Research collaboration and topic trends in Computer Science based on top active authors.
PeerJ Comput. Sci., 2016

Get To the Top and Stay There: A Study of Citation Rank Dynamics in Academia.
Proceedings of the 25th International Conference on World Wide Web, 2016

To delay or not: Temporal vaccination games on networks.
Proceedings of the 35th Annual IEEE International Conference on Computer Communications, 2016

2015
A Population Model for the Academic Ecosystem.
CoRR, 2015

Modeling and Analysis of Scholar Mobility on Scientific Landscape.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Research Collaboration and Topic Trends in Computer Science: An Analysis Based on UCP Authors.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

2014
Co-Evolution of Content Spread and Popularityin Mobile Opportunistic Networks.
IEEE Trans. Mob. Comput., 2014

Influence Spread in Social Networks: A Study via a Fluid Limit of the Linear Threshold Model.
CoRR, 2014

Competition for content spread over multiple social networks.
Proceedings of the Sixth International Conference on Communication Systems and Networks, 2014

2013
Competition over timeline in social networks.
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

2012
Spread of Influence and Content in Mobile Opportunistic Networks
CoRR, 2012

Co-evolution of content popularity and delivery in mobile P2P networks.
Proceedings of the IEEE INFOCOM 2012, Orlando, FL, USA, March 25-30, 2012, 2012

2010
New Insights from an Analysis of Social Influence Networks under the Linear Threshold Model
CoRR, 2010


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