Srinivasan Venkatramanan

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 31

Top Topics

Temporal Constraints

Social Networks

Computer Science

Multiple Data Sources

Top Venues

Publications

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
A Generalizable Theory-Driven Agent-Based Framework to Study Conflict-Induced Forced Migration. AAAI (2024)
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
Network Agency: An Agent-based Model of Forced Migration from Ukraine. AAMAS (2024)
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
Data-driven scalable pipeline using national agent-based models for real-time pandemic response and decision support. Int. J. High Perform. Comput. Appl. 37 (1) (2023)
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
A Multi-Team Multi-Model Collaborative Covid-19 Forecasting Hub for India. WSC (2023)
Aniruddha Adiga, Gursharn Kaur, Lijing Wang, Benjamin Hurt, Przemyslaw J. Porebski, Srinivasan Venkatramanan, Bryan L. Lewis, Madhav V. Marathe
Phase-Informed Bayesian Ensemble Models Improve Performance of COVID-19 Forecasts. AAAI (2023)
Lijing Wang, Aniruddha Adiga, Jiangzhuo Chen, Adam Sadilek, Srinivasan Venkatramanan, Madhav V. Marathe
CausalGNN: Causal-Based Graph Neural Networks for Spatio-Temporal Epidemic Forecasting. AAAI (2022)
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
Effective Social Network-Based Allocation of COVID-19 Vaccines. KDD (2022)
Zakaria Mehrab, Aniruddha Adiga, Madhav V. Marathe, Srinivasan Venkatramanan, Samarth Swarup
Evaluating the Utility of High-Resolution Proximity Metrics in Predicting the Spread of COVID-19. ACM Trans. Spatial Algorithms Syst. 8 (4) (2022)
Aniruddha Adiga, Gursharn Kaur, Benjamin Hurt, Lijing Wang, Przemyslaw J. Porebski, Srinivasan Venkatramanan, Bryan L. Lewis, Madhav V. Marathe
Enhancing COVID-19 Ensemble Forecasting Model Performance Using Auxiliary Data Sources. Big Data (2022)
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
High Performance Agent-Based Modeling to Study Realistic Contact Tracing Protocols. WSC (2021)
Aniruddha Adiga, Lijing Wang, Benjamin Hurt, Akhil Sai Peddireddy, Przemyslaw Porebski, Srinivasan Venkatramanan, Bryan Leroy Lewis, Madhav Marathe
All Models Are Useful: Bayesian Ensembling for Robust High Resolution COVID-19 Forecasting. KDD (2021)
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
Scalable Epidemiological Workflows to Support COVID-19 Planning and Response. IPDPS (2021)
Alok Talekar, Sharad Shriram, Nidhin K. Vaidhiyan, Gaurav Aggarwal, Jiangzhuo Chen, Srinivasan Venkatramanan, Lijing Wang, Aniruddha Adiga, Adam Sadilek, Ashish Tendulkar, Madhav Marathe, Rajesh Sundaresan, Milind Tambe
Cohorting to Isolate Asymptomatic Spreaders: An Agent-Based Simulation Study on the Mumbai Suburban Railway. AAMAS (2021)
Parantapa Bhattacharya, Dustin Machi, Jiangzhuo Chen, Stefan Hoops, Bryan L. Lewis, Henning S. Mortveit, Srinivasan Venkatramanan, Mandy L. Wilson, Achla Marathe, Przemyslaw Porebski, Brian Klahn, Joseph Outten, Anil Vullikanti, Dawen Xie, Abhijin Adiga, Shawn Brown, Christopher L. Barrett, Madhav Marathe
AI-Driven Agent-Based Models to Study the Role of Vaccine Acceptance in Controlling COVID-19 Spread in the US. IEEE BigData (2021)
Yan Wu, Srinivasan Venkatramanan, Dah Ming Chiu
A Population Model for Academia: Case Study of the Computer Science Community Using DBLP Bibliography 1960-2016. IEEE Trans. Emerg. Top. Comput. 9 (1) (2021)
Lijing Wang, Aniruddha Adiga, Srinivasan Venkatramanan, Jiangzhuo Chen, Bryan L. Lewis, Madhav Marathe
Examining Deep Learning Models with Multiple Data Sources for COVID-19 Forecasting. IEEE BigData (2020)
Alok Talekar, Sharad Shriram, Nidhin K. Vaidhiyan, Gaurav Aggarwal, Jiangzhuo Chen, Srinivasan Venkatramanan, Lijing Wang, Aniruddha Adiga, Adam Sadilek, Ashish Tendulkar, Madhav Marathe, Rajesh Sundaresan, Milind Tambe
Cohorting to isolate asymptomatic spreaders: An agent-based simulation study on the Mumbai Suburban Railway. CoRR (2020)
Akhil Sai Peddireddy, Dawen Xie, Pramod Patil, Mandy L. Wilson, Dustin Machi, Srinivasan Venkatramanan, Brian Klahn, Przemyslaw Porebski, Parantapa Bhattacharya, Shirish Dumbre, Erin Raymond, Madhav Marathe
From 5Vs to 6Cs: Operationalizing Epidemic Data Management with COVID-19 Surveillance. IEEE BigData (2020)
Aniruddha Adiga, Devdatt P. Dubhashi, Bryan L. Lewis, Madhav Marathe, Srinivasan Venkatramanan, Anil Vullikanti
Models for COVID-19 Pandemic: A Comparative Analysis. CoRR (2020)
Lijing Wang, Aniruddha Adiga, Srinivasan Venkatramanan, Jiangzhuo Chen, Bryan L. Lewis, Madhav Marathe
Examining Deep Learning Models with Multiple Data Sources for COVID-19 Forecasting. CoRR (2020)
Prathyush Sambaturu, Bijaya Adhikari, B. Aditya Prakash, Srinivasan Venkatramanan, Anil Vullikanti
Designing Effective and Practical Interventions to Contain Epidemics. AAMAS (2020)
Srinivasan Venkatramanan, Jiangzhuo Chen, Arindam Fadikar, Sandeep Gupta, Dave Higdon, Bryan L. Lewis, Madhav Marathe, Henning S. Mortveit, Anil Vullikanti
Optimizing spatial allocation of seasonal influenza vaccine under temporal constraints. PLoS Comput. Biol. 15 (9) (2019)
Arindam Fadikar, Dave Higdon, Jiangzhuo Chen, Bryan L. Lewis, Srinivasan Venkatramanan, Madhav Marathe
Calibrating a Stochastic, Agent-Based Model Using Quantile-Based Emulation. SIAM/ASA J. Uncertain. Quantification 6 (4) (2018)
Madhurima Nath, Srinivasan Venkatramanan, Bryan Kaperick, Stephen G. Eubank, Madhav V. Marathe, Achla Marathe, Abhijin Adiga
Using Network Reliability to Understand International Food Trade Dynamics. COMPLEX NETWORKS (1) (2018)
Qiufang Ying, Dah Ming Chiu, Srinivasan Venkatramanan, Xiaopeng Zhang
Profiling OSN Users Based on Temporal Posting Patterns. WWW (Companion Volume) (2018)
Qiufang Ying, Dah Ming Chiu, Srinivasan Venkatramanan, Xiaopeng Zhang
User modeling and usage profiling based on temporal posting behavior in OSNs. Online Soc. Networks Media 8 (2018)
Farzaneh Tabataba, Bryan L. Lewis, Milad Hosseinipour, Foroogh S. Tabataba, Srinivasan Venkatramanan, Jiangzhuo Chen, Dave Higdon, Madhav Marathe
Epidemic Forecasting Framework Combining Agent-Based Models and Smart Beam Particle Filtering. ICDM (2017)
Farzaneh Sadat Tabataba, Prithwish Chakraborty, Naren Ramakrishnan, Srinivasan Venkatramanan, Jiangzhuo Chen, Bryan L. Lewis, Madhav V. Marathe
A Framework for Evaluating Epidemic Forecasts. CoRR (2017)
Srinivasan Venkatramanan, Jiangzhuo Chen, Sandeep Gupta, Bryan L. Lewis, Madhav Marathe, Henning S. Mortveit, Anil Vullikanti
Spatio-Temporal Optimization of Seasonal Vaccination Using a Metapopulation Model of Influenza. ICHI (2017)
Srinivasan Venkatramanan, Sichao Wu, Bowen Shi, Achla Marathe, Madhav 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
Towards robust models of food flows and their role in invasive species spread. IEEE BigData (2017)
Yan Wu, Srinivasan Venkatramanan, Dah Ming Chiu
Research collaboration and topic trends in Computer Science based on top active authors. PeerJ Comput. Sci. 2 (2016)
Qiufang Ying, Srinivasan Venkatramanan, Dah Ming Chiu
Modeling and Analysis of Scholar Mobility on Scientific Landscape. CoRR (2015)
Qiufang Ying, Srinivasan Venkatramanan, Dah-Ming Chiu
Modeling and Analysis of Scholar Mobility on Scientific Landscape. WWW (Companion Volume) (2015)
Yan Wu, Srinivasan Venkatramanan, Dah-Ming Chiu
Research Collaboration and Topic Trends in Computer Science: An Analysis Based on UCP Authors. WWW (Companion Volume) (2015)
Yan Wu, Srinivasan Venkatramanan, Dah Ming Chiu
A Population Model for the Academic Ecosystem. CoRR (2015)
Srinivasan Venkatramanan, Anurag Kumar
Co-Evolution of Content Spread and Popularityin Mobile Opportunistic Networks. IEEE Trans. Mob. Comput. 13 (11) (2014)
Srinivasan Venkatramanan, Anurag Kumar
Competition for content spread over multiple social networks. COMSNETS (2014)
Srinivasan Venkatramanan, Anurag Kumar
Influence Spread in Social Networks: A Study via a Fluid Limit of the Linear Threshold Model. CoRR (2014)
Eitan Altman, Parmod Kumar, Srinivasan Venkatramanan, Anurag Kumar
Competition over timeline in social networks. ASONAM (2013)
Srinivasan Venkatramanan, Anurag Kumar
Spread of Influence and Content in Mobile Opportunistic Networks CoRR (2012)
Srinivasan Venkatramanan, Anurag Kumar
Co-evolution of content popularity and delivery in mobile P2P networks. INFOCOM (2012)
Srinivasan Venkatramanan, Anurag Kumar
Co-evolution of Content Popularity and Delivery in Mobile P2P Networks CoRR (2011)
Srinivasan Venkatramanan, Anurag Kumar
New Insights from an Analysis of Social Influence Networks under the Linear Threshold Model CoRR (2010)