Srinivasan Venkatramanan

49 papers A* 8A 4B 2Misc 4Journal 21Unranked 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
Agentic Framework for Epidemiological Modeling.
CoRR
Rituparna Datta, Zihan Guan, Baltazar Espinoza, Yiqi Su, Priya Pitre, Srinivasan Venkatramanan, Naren Ramakrishnan, Anil Vullikanti
2025 — conf
Causal Analysis of Graph Signals for Brain Effectome Inference.
IEEECONF
Srikar Mutnuri, Aniruddha Adiga, Srinivasan Venkatramanan, Madhav V. Marathe
2025 A* conf
Hazard Function Guided Agent-Based Models: A Case Study of Return Migration from Poland to Ukraine.
IJCAI
Zakaria Mehrab, S. S. Ravi, Logan Stundal, Samarth Swarup, Srinivasan Venkatramanan, Bryan L. Lewis, Henning S. Mortveit, David Leblang, Madhav V. Marathe
2024 A* conf
A Generalizable Theory-Driven Agent-Based Framework to Study Conflict-Induced Forced Migration.
AAAI
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
2024 Misc conf
Agent-Based Simulation Framework for Multi-Variant Surveillance.
WSC
Sifat Afroj Moon, Jiangzhuo Chen, Baltazar Espinoza, Bryan Lewis, Madhav V. Marathe, Joseph Outten, Srinivasan Venkatramanan, Anil Vullikanti, Andrew S. Warren
2024 J jnl
Challenges of COVID-19 Case Forecasting in the US, 2020-2021.
PLoS Comput. Biol.
Velma K. Lopez, Estee Y. Cramer, Robert Pagano, John M. Drake, Eamon B. O'Dea, Madeline Adee, Turgay Ayer, Jagpreet Chhatwal, Ozden O. Dalgic, Mary A. Ladd, Benjamin P. Linas, Peter P. Mueller, Jade Xiao, Johannes Bracher, Alvaro J. Castro Rivadeneira, Aaron Gerding, Tilmann Gneiting, Yuxin Huang, Dasuni Jayawardena, Abdul H. Kanji, Khoa Le, Anja Mühlemann, Jarad Niemi, Evan L. Ray, Ariane Stark, Yijin Wang, Nutcha Wattanachit, Martha W. Zorn, Sen Pei, Jeffrey Shaman, Teresa K. Yamana, Samuel R. Tarasewicz, Daniel J. Wilson, Sid Baccam, Heidi Gurung, Steve Stage, Brad Suchoski, Lei Gao, Zhiling Gu, Myungjin Kim, Xinyi Li, Guannan Wang, Lily Wang, Yueying Wang, Shan Yu, Lauren Gardner, Sonia Jindal, Maximilian Marshall, Kristen Nixon, Juan Dent, Alison L. Hill, Joshua Kaminsky, Elizabeth C. Lee, Joseph Chadi Lemaitre, Justin Lessler, Claire P. Smith, Shaun Truelove, Matt Kinsey, Luke C. Mullany, Kaitlin Rainwater-Lovett, Lauren Shin, Katharine Tallaksen, Shelby Wilson, Dean Karlen, Lauren A. Castro, Geoffrey Fairchild, Isaac Michaud, Dave Osthus, Jiang Bian, Wei Cao, Zhifeng Gao, Juan M. Lavista Ferres, Chaozhuo Li, Tie-Yan Liu, Xing Xie, Shun Zhang, Shun Zheng, Matteo Chinazzi, Jessica T. Davis, Kunpeng Mu, Ana L. Pastore y Piontti, Alessandro Vespignani, Xinyue Xiong, Robert Walraven, Jinghui Chen, Quanquan Gu, Lingxiao Wang, Pan Xu, Weitong Zhang, Difan Zou, Graham Casey Gibson, Daniel Sheldon, Ajitesh Srivastava, Aniruddha Adiga, Benjamin Hurt, Gursharn Kaur, Bryan Lewis, Madhav V. Marathe, Akhil Sai Peddireddy, Przemyslaw J. Porebski, Srinivasan Venkatramanan, Lijing Wang, Pragati V. Prasad, Jo W. Walker, Alexander E. Webber, Rachel B. Slayton, Matthew Biggerstaff, Nicholas G. Reich, Michael A. Johansson
2024 A conf
Network Agency: An Agent-based Model of Forced Migration from Ukraine.
AAMAS
Zakaria Mehrab, Logan Stundal, Samarth Swarup, Srinivasan Venkatramanan, Bryan Lewis, Henning S. Mortveit, Christopher L. Barrett, Abhishek Pandey, Chad R. Wells, Alison P. Galvani, Burton H. Singer, David Leblang, Rita R. Colwell, Madhav V. Marathe
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 Misc conf
A Multi-Team Multi-Model Collaborative Covid-19 Forecasting Hub for India.
WSC
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
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
Phase-Informed Bayesian Ensemble Models Improve Performance of COVID-19 Forecasts.
AAAI
Aniruddha Adiga, Gursharn Kaur, Lijing Wang, Benjamin Hurt, Przemyslaw J. Porebski, Srinivasan Venkatramanan, Bryan L. Lewis, Madhav V. Marathe
2022 A* conf
CausalGNN: Causal-Based Graph Neural Networks for Spatio-Temporal Epidemic Forecasting.
AAAI
Lijing Wang, Aniruddha Adiga, Jiangzhuo Chen, Adam Sadilek, Srinivasan Venkatramanan, Madhav V. Marathe
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 B conf
Enhancing COVID-19 Ensemble Forecasting Model Performance Using Auxiliary Data Sources.
IEEE Big Data
Aniruddha Adiga, Gursharn Kaur, Benjamin Hurt, Lijing Wang, Przemyslaw J. Porebski, Srinivasan Venkatramanan, Bryan L. Lewis, Madhav V. Marathe
2022 J jnl
Evaluating the Utility of High-Resolution Proximity Metrics in Predicting the Spread of COVID-19.
ACM Trans. Spatial Algorithms Syst.
Zakaria Mehrab, Aniruddha Adiga, Madhav V. Marathe, Srinivasan Venkatramanan, Samarth Swarup
2021 J jnl
A Population Model for Academia: Case Study of the Computer Science Community Using DBLP Bibliography 1960-2016.
IEEE Trans. Emerg. Top. Comput.
Yan Wu, Srinivasan Venkatramanan, Dah Ming Chiu
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
All Models Are Useful: Bayesian Ensembling for Robust High Resolution COVID-19 Forecasting.
KDD
Aniruddha Adiga, Lijing Wang, Benjamin Hurt, Akhil Sai Peddireddy, Przemyslaw J. Porebski, Srinivasan Venkatramanan, Bryan Leroy Lewis, Madhav V. Marathe
2021 A conf
Cohorting to Isolate Asymptomatic Spreaders: An Agent-Based Simulation Study on the Mumbai Suburban Railway.
AAMAS
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
2021 Misc conf
High Performance Agent-Based Modeling to Study Realistic Contact Tracing Protocols.
WSC
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
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
2020 J jnl
Cohorting to isolate asymptomatic spreaders: An agent-based simulation study on the Mumbai Suburban Railway.
CoRR
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
2020 A conf
Designing Effective and Practical Interventions to Contain Epidemics.
AAMAS
Prathyush Sambaturu, Bijaya Adhikari, B. Aditya Prakash, Srinivasan Venkatramanan, Anil Vullikanti
2020 — conf
Examining Deep Learning Models with Multiple Data Sources for COVID-19 Forecasting.
IEEE BigData
Lijing Wang, Aniruddha Adiga, Srinivasan Venkatramanan, Jiangzhuo Chen, Bryan L. Lewis, Madhav V. Marathe
2020 J jnl
Examining Deep Learning Models with Multiple Data Sources for COVID-19 Forecasting.
CoRR
Lijing Wang, Aniruddha Adiga, Srinivasan Venkatramanan, Jiangzhuo Chen, Bryan L. Lewis, Madhav V. Marathe
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 J jnl
Models for COVID-19 Pandemic: A Comparative Analysis.
CoRR
Aniruddha Adiga, Devdatt P. Dubhashi, Bryan L. Lewis, Madhav V. Marathe, Srinivasan Venkatramanan, Anil Vullikanti
2019 J jnl
Optimizing spatial allocation of seasonal influenza vaccine under temporal constraints.
PLoS Comput. Biol.
Srinivasan Venkatramanan, Jiangzhuo Chen, Arindam Fadikar, Sandeep Gupta, Dave Higdon, Bryan L. Lewis, Madhav V. Marathe, Henning S. Mortveit, Anil Vullikanti
2018 J jnl
Calibrating a Stochastic, Agent-Based Model Using Quantile-Based Emulation.
SIAM/ASA J. Uncertain. Quantification
Arindam Fadikar, Dave Higdon, Jiangzhuo Chen, Bryan L. Lewis, Srinivasan Venkatramanan, Madhav V. Marathe
2018 — conf
Profiling OSN Users Based on Temporal Posting Patterns.
WWW (Companion Volume)
Qiufang Ying, Dah Ming Chiu, Srinivasan Venkatramanan, Xiaopeng Zhang
2018 J jnl
User modeling and usage profiling based on temporal posting behavior in OSNs.
Online Soc. Networks Media
Qiufang Ying, Dah Ming Chiu, Srinivasan Venkatramanan, Xiaopeng Zhang
2018 — conf
Using Network Reliability to Understand International Food Trade Dynamics.
COMPLEX NETWORKS (1)
Madhurima Nath, Srinivasan Venkatramanan, Bryan Kaperick, Stephen G. Eubank, Madhav V. Marathe, Achla Marathe, Abhijin Adiga
2017 J jnl
A Framework for Evaluating Epidemic Forecasts.
CoRR
Farzaneh Sadat Tabataba, Prithwish Chakraborty, Naren Ramakrishnan, Srinivasan Venkatramanan, Jiangzhuo Chen, Bryan L. Lewis, Madhav V. Marathe
2017 A* conf
Epidemic Forecasting Framework Combining Agent-Based Models and Smart Beam Particle Filtering.
ICDM
Farzaneh Tabataba, Bryan L. Lewis, Milad Hosseinipour, Foroogh S. Tabataba, Srinivasan Venkatramanan, Jiangzhuo Chen, Dave Higdon, Madhav V. Marathe
2017 — conf
Spatio-Temporal Optimization of Seasonal Vaccination Using a Metapopulation Model of Influenza.
ICHI
Srinivasan Venkatramanan, Jiangzhuo Chen, Sandeep Gupta, Bryan L. Lewis, Madhav V. Marathe, Henning S. Mortveit, Anil Vullikanti
2017 — conf
Towards robust models of food flows and their role in invasive species spread.
IEEE BigData
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
2016 J jnl
Research collaboration and topic trends in Computer Science based on top active authors.
PeerJ Comput. Sci.
Yan Wu, Srinivasan Venkatramanan, Dah Ming Chiu
2015 J jnl
A Population Model for the Academic Ecosystem.
CoRR
Yan Wu, Srinivasan Venkatramanan, Dah Ming Chiu
2015 — conf
Modeling and Analysis of Scholar Mobility on Scientific Landscape.
WWW (Companion Volume)
Qiufang Ying, Srinivasan Venkatramanan, Dah-Ming Chiu
2015 J jnl
Modeling and Analysis of Scholar Mobility on Scientific Landscape.
CoRR
Qiufang Ying, Srinivasan Venkatramanan, Dah Ming Chiu
2015 — conf
Research Collaboration and Topic Trends in Computer Science: An Analysis Based on UCP Authors.
WWW (Companion Volume)
Yan Wu, Srinivasan Venkatramanan, Dah-Ming Chiu
2014 J jnl
Co-Evolution of Content Spread and Popularityin Mobile Opportunistic Networks.
IEEE Trans. Mob. Comput.
Srinivasan Venkatramanan, Anurag Kumar
2014 Misc conf
Competition for content spread over multiple social networks.
COMSNETS
Srinivasan Venkatramanan, Anurag Kumar
2014 J jnl
Influence Spread in Social Networks: A Study via a Fluid Limit of the Linear Threshold Model.
CoRR
Srinivasan Venkatramanan, Anurag Kumar
2013 B conf
Competition over timeline in social networks.
ASONAM
Eitan Altman, Parmod Kumar, Srinivasan Venkatramanan, Anurag Kumar
2012 A* conf
Co-evolution of content popularity and delivery in mobile P2P networks.
INFOCOM
Srinivasan Venkatramanan, Anurag Kumar
2012 J jnl
Spread of Influence and Content in Mobile Opportunistic Networks
CoRR
Srinivasan Venkatramanan, Anurag Kumar
2011 J jnl
Co-evolution of Content Popularity and Delivery in Mobile P2P Networks
CoRR
Srinivasan Venkatramanan, Anurag Kumar
2010 J jnl
New Insights from an Analysis of Social Influence Networks under the Linear Threshold Model
CoRR
Srinivasan Venkatramanan, Anurag Kumar