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Srinivasan Venkatramanan

Srini Venkat

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affiliation: Biocomplexity Institute of Virginia Tech, USA

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2020 – today

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2024
[c27]
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  - conf/aaai/MehrabSVSLMBPWG24
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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: 23027-23033
[c26]
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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: 1372-1380
2023
[j8]
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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): 4-27 (2023)
[c25]
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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: 15647-15653
[c24]
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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: 994-1005
2022
[j7]
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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): 26:1-26:51 (2022)
[c23]
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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: 12191-12199
[c22]
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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. IEEE Big Data 2022: 1594-1603
[c21]
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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: 4675-4683
2021
[j6]
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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): 258-268 (2021)
[c20]
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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:
Cohorting to Isolate Asymptomatic Spreaders: An Agent-Based Simulation Study on the Mumbai Suburban Railway. AAMAS 2021: 1680-1682
[c19]
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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:
AI-Driven Agent-Based Models to Study the Role of Vaccine Acceptance in Controlling COVID-19 Spread in the US. IEEE BigData 2021: 1566-1574
[c18]
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  - conf/ipps/MachiBHCMVLWFMB21
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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: 639-650
[c17]
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Aniruddha Adiga, Lijing Wang, Benjamin Hurt, Akhil Sai Peddireddy, Przemyslaw J. Porebski, Srinivasan Venkatramanan, Bryan Leroy Lewis, Madhav V. Marathe:
All Models Are Useful: Bayesian Ensembling for Robust High Resolution COVID-19 Forecasting. KDD 2021: 2505-2513
[c16]
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  - conf/wsc/HoopsCALMBWXSVC21
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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: 1-12
2020
[c15]
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  - conf/atal/SambaturuAPVV20
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Prathyush Sambaturu, Bijaya Adhikari, B. Aditya Prakash, Srinivasan Venkatramanan, Anil Vullikanti:
Designing Effective and Practical Interventions to Contain Epidemics. AAMAS 2020: 1187-1195
[c14]
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  - conf/bigdataconf/PeddireddyXPWMV20
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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:
From 5Vs to 6Cs: Operationalizing Epidemic Data Management with COVID-19 Surveillance. IEEE BigData 2020: 1380-1387
[c13]
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Lijing Wang, Aniruddha Adiga, Srinivasan Venkatramanan, Jiangzhuo Chen, Bryan L. Lewis, Madhav V. Marathe:
Examining Deep Learning Models with Multiple Data Sources for COVID-19 Forecasting. IEEE BigData 2020: 3846-3855
[i10]
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  - journals/corr/abs-2009-10014
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Aniruddha Adiga, Devdatt P. Dubhashi, Bryan L. Lewis, Madhav V. Marathe, Srinivasan Venkatramanan, Anil Vullikanti:
Models for COVID-19 Pandemic: A Comparative Analysis. CoRR abs/2009.10014 (2020)
[i9]
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  - journals/corr/abs-2010-14491
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Lijing Wang, Aniruddha Adiga, Srinivasan Venkatramanan, Jiangzhuo Chen, Bryan L. Lewis, Madhav V. Marathe:
Examining Deep Learning Models with Multiple Data Sources for COVID-19 Forecasting. CoRR abs/2010.14491 (2020)
[i8]
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  - journals/corr/abs-2012-12839
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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:
Cohorting to isolate asymptomatic spreaders: An agent-based simulation study on the Mumbai Suburban Railway. CoRR abs/2012.12839 (2020)

2010 – 2019

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2019
[j5]
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  - journals/ploscb/VenkatramananCF19
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Srinivasan Venkatramanan, Jiangzhuo Chen, Arindam Fadikar, Sandeep Gupta, Dave Higdon, Bryan L. Lewis, Madhav V. Marathe, Henning S. Mortveit, Anil Vullikanti:
Optimizing spatial allocation of seasonal influenza vaccine under temporal constraints. PLoS Comput. Biol. 15(9) (2019)
2018
[j4]
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  - journals/juq/FadikarHCLVM18
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Arindam Fadikar, Dave Higdon, Jiangzhuo Chen, Bryan L. Lewis, Srinivasan Venkatramanan, Madhav V. Marathe:
Calibrating a Stochastic, Agent-Based Model Using Quantile-Based Emulation. SIAM/ASA J. Uncertain. Quantification 6(4): 1685-1706 (2018)
[j3]
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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: 32-41 (2018)
[c12]
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  - conf/complexnetworks/NathVKEMMA18
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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: 524-535
[c11]
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Qiufang Ying, Dah Ming Chiu, Srinivasan Venkatramanan, Xiaopeng Zhang:
Profiling OSN Users Based on Temporal Posting Patterns. WWW (Companion Volume) 2018: 1451-1456
2017
[c10]
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  - conf/bigdataconf/VenkatramananWS17
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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:
Towards robust models of food flows and their role in invasive species spread. IEEE BigData 2017: 435-444
[c9]
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  - conf/icdm/TabatabaLHTVCHM17
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Farzaneh Tabataba, Bryan L. Lewis, Milad Hosseinipour, Foroogh S. Tabataba, Srinivasan Venkatramanan, Jiangzhuo Chen, Dave Higdon, Madhav V. Marathe:
Epidemic Forecasting Framework Combining Agent-Based Models and Smart Beam Particle Filtering. ICDM 2017: 1099-1104
[c8]
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Srinivasan Venkatramanan, Jiangzhuo Chen, Sandeep Gupta, Bryan L. Lewis, Madhav V. Marathe, Henning S. Mortveit, Anil Vullikanti:
Spatio-Temporal Optimization of Seasonal Vaccination Using a Metapopulation Model of Influenza. ICHI 2017: 134-143
[i7]
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  - journals/corr/TabatabaCRVCLM17
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Farzaneh Sadat Tabataba, Prithwish Chakraborty, Naren Ramakrishnan, Srinivasan Venkatramanan, Jiangzhuo Chen, Bryan L. Lewis, Madhav V. Marathe:
A Framework for Evaluating Epidemic Forecasts. CoRR abs/1703.09828 (2017)
2016
[j2]
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  - journals/peerj-cs/WuVC16
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Yan Wu, Srinivasan Venkatramanan, Dah Ming Chiu:
Research collaboration and topic trends in Computer Science based on top active authors. PeerJ Comput. Sci. 2: e41 (2016)
[c7]
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  - conf/infocom/AdigaVV16
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Abhijin Adiga, Srini Venkat, Anil Vullikanti:
To delay or not: Temporal vaccination games on networks. INFOCOM 2016: 1-9
[c6]
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Yan Wu, Srini Venkat, Dah-Ming Chiu:
Get To the Top and Stay There: A Study of Citation Rank Dynamics in Academia. WWW (Companion Volume) 2016: 431-436
2015
[c5]
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  - conf/www/YingVC15
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Qiufang Ying, Srinivasan Venkatramanan, Dah-Ming Chiu:
Modeling and Analysis of Scholar Mobility on Scientific Landscape. WWW (Companion Volume) 2015: 609-614
[c4]
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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: 1045-1050
[i6]
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Qiufang Ying, Srinivasan Venkatramanan, Dah Ming Chiu:
Modeling and Analysis of Scholar Mobility on Scientific Landscape. CoRR abs/1502.00523 (2015)
[i5]
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Yan Wu, Srinivasan Venkatramanan, Dah Ming Chiu:
A Population Model for the Academic Ecosystem. CoRR abs/1503.08312 (2015)
2014
[j1]
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  - journals/tmc/Venkatramanan014
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Srinivasan Venkatramanan, Anurag Kumar:
Co-Evolution of Content Spread and Popularityin Mobile Opportunistic Networks. IEEE Trans. Mob. Comput. 13(11): 2498-2509 (2014)
[c3]
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Srinivasan Venkatramanan, Anurag Kumar:
Competition for content spread over multiple social networks. COMSNETS 2014: 1-6
[i4]
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Srinivasan Venkatramanan, Anurag Kumar:
Influence Spread in Social Networks: A Study via a Fluid Limit of the Linear Threshold Model. CoRR abs/1405.7096 (2014)
2013
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  - conf/asunam/AltmanKV013
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Eitan Altman, Parmod Kumar, Srinivasan Venkatramanan, Anurag Kumar:
Competition over timeline in social networks. ASONAM 2013: 1352-1357
2012
[c1]
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Srinivasan Venkatramanan, Anurag Kumar:
Co-evolution of content popularity and delivery in mobile P2P networks. INFOCOM 2012: 3006-3010
[i3]
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  - journals/corr/abs-1208-6454
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Srinivasan Venkatramanan, Anurag Kumar:
Spread of Influence and Content in Mobile Opportunistic Networks. CoRR abs/1208.6454 (2012)
2011
[i2]
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  - journals/corr/abs-1107-5851
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Srinivasan Venkatramanan, Anurag Kumar:
Co-evolution of Content Popularity and Delivery in Mobile P2P Networks. CoRR abs/1107.5851 (2011)
2010
[i1]
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  - journals/corr/abs-1002-1335
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Srinivasan Venkatramanan, Anurag Kumar:
New Insights from an Analysis of Social Influence Networks under the Linear Threshold Model. CoRR abs/1002.1335 (2010)

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