Srinivasan Venkatramanan

According to our database, Srinivasan Venkatramanan authored at least 40 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

A Generalizable Theory-Driven Agent-Based Framework to Study Conflict-Induced Forced Migration.

Zakaria Mehrab, Logan Stundal, Srinivasan Venkatramanan, Samarth Swarup, Bryan Leroy Lewis, Henning S. Mortveit, Christopher L. Barrett, Abhishek Pandey, Chad R. Wells, Alison P. Galvani, Burton H. Singer, Seyed M. Moghadas, David Leblang, Rita R. Colwell, Madhav V. Marathe

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.

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

Int. J. High Perform. Comput. Appl., 2023

A Multi-Team Multi-Model Collaborative Covid-19 Forecasting Hub for India.

Aniruddha Adiga, Benjamin Hurt, Gursharn Kaur, Bryan Lewis, Madhav V. Marathe, Przemyslaw J. Porebski, Srinivasan Venkatramanan, Ambedkar Dukkipati, Tony Gracious, Shubham Gupta, Nihesh Rathod, Rajesh Sundaresan, Sarath Yasodharan, Kantha Rao Bhimala, Vidyadhar Mudkavi, Gopal Krishna Patra, Siva Athreya

Proceedings of the Winter Simulation Conference, 2023

Phase-Informed Bayesian Ensemble Models Improve Performance of COVID-19 Forecasts.

Aniruddha Adiga, Gursharn Kaur, Lijing Wang, Benjamin Hurt, Przemyslaw J. Porebski, Srinivasan Venkatramanan, Bryan L. Lewis, Madhav V. Marathe

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.

Zakaria Mehrab, Aniruddha Adiga, Madhav V. Marathe, Srinivasan Venkatramanan, Samarth Swarup

ACM Trans. Spatial Algorithms Syst., 2022

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, Gal Ehrlich, Maier Fenster, Stephen G. Eubank, Christopher L. Barrett, Madhav V. Marathe

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.

Aniruddha Adiga, Gursharn Kaur, Benjamin Hurt, Lijing Wang, Przemyslaw J. Porebski, Srinivasan Venkatramanan, Bryan L. Lewis, Madhav V. Marathe

Proceedings of the IEEE International Conference on Big Data, 2022

CausalGNN: Causal-Based Graph Neural Networks for Spatio-Temporal Epidemic Forecasting.

Lijing Wang, Aniruddha Adiga, Jiangzhuo Chen, Adam Sadilek, Srinivasan Venkatramanan, Madhav V. Marathe

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.

Yan Wu, Srinivasan Venkatramanan, Dah Ming Chiu

IEEE Trans. Emerg. Top. Comput., 2021

High Performance Agent-Based Modeling to Study Realistic Contact Tracing Protocols.

Stefan Hoops, Jiangzhuo Chen, Abhijin Adiga, Bryan L. Lewis, Henning S. Mortveit, Hannah Baek, Mandy L. Wilson, Dawen Xie, Samarth Swarup, Srinivasan Venkatramanan, Justin Crow, Elena Diskin, Seth Levine, Helen Tazelaar, Brooke Rossheim, Chris Ghaemmaghami, Rebecca Early, Chris Barrett, Madhav V. Marathe, Carter Price

Proceedings of the Winter Simulation Conference, 2021

All Models Are Useful: Bayesian Ensembling for Robust High Resolution COVID-19 Forecasting.

Aniruddha Adiga, Lijing Wang, Benjamin Hurt, Akhil Sai Peddireddy, Przemyslaw J. Porebski, Srinivasan Venkatramanan, Bryan Leroy Lewis, Madhav V. Marathe

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.

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

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.

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

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.

Alok Talekar, Sharad Shriram, Nidhin K. Vaidhiyan, Gaurav Aggarwal, Jiangzhuo Chen, Srinivasan Venkatramanan, Lijing Wang, Aniruddha Adiga, Adam Sadilek, Ashish Tendulkar, Madhav V. Marathe, Rajesh Sundaresan, Milind Tambe

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2020

Models for COVID-19 Pandemic: A Comparative Analysis.

Aniruddha Adiga, Devdatt P. Dubhashi, Bryan L. Lewis, Madhav V. Marathe, Srinivasan Venkatramanan, Anil Vullikanti

CoRR, 2020

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

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.

Lijing Wang, Aniruddha Adiga, Srinivasan Venkatramanan, Jiangzhuo Chen, Bryan L. Lewis, Madhav V. Marathe

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Designing Effective and Practical Interventions to Contain Epidemics.

Prathyush Sambaturu, Bijaya Adhikari, B. Aditya Prakash, Srinivasan Venkatramanan, Anil Vullikanti

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2019

Optimizing spatial allocation of seasonal influenza vaccine under temporal constraints.

Srinivasan Venkatramanan, Jiangzhuo Chen, Arindam Fadikar, Sandeep Gupta, Dave Higdon, Bryan L. Lewis, Madhav V. Marathe, Henning S. Mortveit, Anil Vullikanti

PLoS Comput. Biol., 2019

2018

User modeling and usage profiling based on temporal posting behavior in OSNs.

Qiufang Ying, Dah Ming Chiu, Srinivasan Venkatramanan, Xiaopeng Zhang

Online Soc. Networks Media, 2018

Calibrating a Stochastic, Agent-Based Model Using Quantile-Based Emulation.

Arindam Fadikar, Dave Higdon, Jiangzhuo Chen, Bryan L. Lewis, Srinivasan Venkatramanan, Madhav V. Marathe

SIAM/ASA J. Uncertain. Quantification, 2018

Profiling OSN Users Based on Temporal Posting Patterns.

Qiufang Ying, Dah Ming Chiu, Srinivasan Venkatramanan, Xiaopeng Zhang

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.

Madhurima Nath, Srinivasan Venkatramanan, Bryan Kaperick, Stephen G. Eubank, Madhav V. Marathe, Achla Marathe, Abhijin Adiga

Proceedings of the Complex Networks and Their Applications VII, 2018

2017

A Framework for Evaluating Epidemic Forecasts.

Farzaneh Sadat Tabataba, Prithwish Chakraborty, Naren Ramakrishnan, Srinivasan Venkatramanan, Jiangzhuo Chen, Bryan L. Lewis, Madhav V. Marathe

CoRR, 2017

Spatio-Temporal Optimization of Seasonal Vaccination Using a Metapopulation Model of Influenza.

Srinivasan Venkatramanan, Jiangzhuo Chen, Sandeep Gupta, Bryan L. Lewis, Madhav V. Marathe, Henning S. Mortveit, Anil Vullikanti

Proceedings of the 2017 IEEE International Conference on Healthcare Informatics, 2017

Epidemic Forecasting Framework Combining Agent-Based Models and Smart Beam Particle Filtering.

Farzaneh Tabataba, Bryan L. Lewis, Milad Hosseinipour, Foroogh S. Tabataba, Srinivasan Venkatramanan, Jiangzhuo Chen, Dave Higdon, Madhav V. Marathe

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Towards robust models of food flows and their role in invasive species spread.

Srinivasan Venkatramanan, Sichao Wu, Bowen Shi, Achla Marathe, Madhav V. Marathe, Stephen G. Eubank, Lalit P. Sah, A. P. Giri, Luke A. Colavito, K. S. Nitin, V. Sridhar, R. Asokan, Rangaswamy Muniappan, G. Norton, Abhijin Adiga

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.

Yan Wu, Srinivasan Venkatramanan, Dah Ming Chiu

PeerJ Comput. Sci., 2016

Get To the Top and Stay There: A Study of Citation Rank Dynamics in Academia.

Yan Wu, Srini Venkat, Dah-Ming Chiu

Proceedings of the 25th International Conference on World Wide Web, 2016

To delay or not: Temporal vaccination games on networks.

Abhijin Adiga, Srini Venkat, Anil Vullikanti

Proceedings of the 35th Annual IEEE International Conference on Computer Communications, 2016

2015

A Population Model for the Academic Ecosystem.

Yan Wu, Srinivasan Venkatramanan, Dah Ming Chiu

CoRR, 2015

Modeling and Analysis of Scholar Mobility on Scientific Landscape.

Qiufang Ying, Srinivasan Venkatramanan, Dah-Ming Chiu

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.

Yan Wu, Srinivasan Venkatramanan, Dah-Ming Chiu

Proceedings of the 24th International Conference on World Wide Web Companion, 2015

2014

Co-Evolution of Content Spread and Popularityin Mobile Opportunistic Networks.

Srinivasan Venkatramanan, Anurag Kumar

IEEE Trans. Mob. Comput., 2014

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

Srinivasan Venkatramanan, Anurag Kumar

CoRR, 2014

Competition for content spread over multiple social networks.

Srinivasan Venkatramanan, Anurag Kumar

Proceedings of the Sixth International Conference on Communication Systems and Networks, 2014

2013

Competition over timeline in social networks.

Eitan Altman, Parmod Kumar, Srinivasan Venkatramanan, Anurag Kumar

Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

2012

Spread of Influence and Content in Mobile Opportunistic Networks

Srinivasan Venkatramanan, Anurag Kumar

CoRR, 2012

Co-evolution of content popularity and delivery in mobile P2P networks.

Srinivasan Venkatramanan, Anurag Kumar

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

Srinivasan Venkatramanan, Anurag Kumar

CoRR, 2010