2026
- SV, P. Porebski, B. Lewis, M. Marathe, "Metaverse Demystified: Lessons Learned from Using PatchSim for Pandemic and Epidemic Response Support", Recent Advances in Contagion Modeling and Simulation at Scale, 2026 SIAM Conference on the Life Sciences, July 2026
2024
- N. C. Mandal, G. Kaur, A. Adiga, SV, B. Lewis, and M. Marathe, "Optim-WISE: An Ensemble Approach for Probabilistic Forecasts Optimized via Weighted Interval Score", MIDAS Annual Meeting, November 2024
- J. Chou, A. Adiga, G. Kaur, SV, B. Lewis, and M. Marathe, "Causality-Encoded Spatiotemporal Graph Convolution Network for Real-time Disease Forecasting", MIDAS Annual Meeting, November 2024
- P. Bhattacharya, SV, B. Lewis, J. Chen, S. Hoops, H. Mortveit, and M. Marathe, "ESCAPE: An easier and faster method for creating high-performance agent-based epidemic simulators", MIDAS Annual Meeting, November 2024
- J. Nachison and SV, "On the Predictability of Spatiotemporal Epidemics", MIDAS Annual Meeting, November 2024
- J. Crow, C. Price, M. Marathe, B. Lewis, SV, and A. Telionis, "Forecasting the COVID-19 Pandemic in Virginia: After Action Report", 2024 CSTE Annual Conference, Pittsburgh, June 2024
- A. Warren, P. Bhattacharya, M. Orr, SV, B. Lewis, M. Marathe, J. Crain, J. Crow, A. Telionis, L. Fink, and A. Lorentz, "Right Sizing Variant Prevalence Analysis Frames", 2024 CSTE Annual Conference, Pittsburgh, June 2024
- G. Kaur, A. Adiga, B. Hurt, et al., SV, B. Lewis, and M. Marathe, "Analyzing the Relationship between Wastewater and COVID-19 Signals in Virginia: A Forecasting Perspective", 2024 CSTE Annual Conference, Pittsburgh, June 2024
- L. Critchley, B. Hurt, G. Kaur, et al., SV, B. Lewis, and M. Marathe, "Categorically Speaking: Lessons Learned from Communicating Epidemic Activity Levels and Trends in Virginia", 2024 CSTE Annual Conference, Pittsburgh, June 2024
2023
- R. K. Borchering, J. Davis, S. Mathis, et al., M. Marathe, SV, and M. Biggerstaff, "Forecasting Trends in Influenza Hospitalizations: Describing an Experimental Approach deployed during the 2022–23 Influenza Season", poster presented at Epidemics 2023
- "Wastewater surveillance for COVID-19 forecasting: Promises and Pitfalls", invited talk at Annual CSTE/CDC Infectious Disease Forecasting Workshop, Atlanta, September 2023
- G. Kaur, A. Adiga, B. Hurt, B. Klahn, C. Chen, A. Warren, SV, B. Lewis, and M. Marathe, "Interplay and predictive power of COVID-19 incidence indicators in Virginia", poster at the Annual CSTE/CDC Infectious Disease Forecasting Workshop, Atlanta, September 2023
- Z. Mehrab, B. Lewis, SV, J. Crow, A. Telionis, D. Kim, M. Wilson, G. Harrison, S. Spillman, and M. Marathe, "Data-driven approaches for maximizing social equity of public health outbreak response", 2023 CSTE Annual Conference, Salt Lake City, June 2023
- SV, J. Cambeiro, B. Lewis, M. Orr, G. Dempsey, A. Telionis, J. Crow, C. Barrett, and M. Marathe, "Utility of human judgment ensembles during times of pandemic uncertainty", presented at the 2023 CSTE Annual Conference (Salt Lake City) and the International Symposium on Forecasting (Charlottesville), June 2023
- B. Lewis, P. Porebski, SV, A. Adiga, B. Hurt, B. Klahn, G. Kaur, A. Warren, J. Crow, and M. Marathe, "Integrating Modeling and Outbreak Analytics into Public Health Practice, the Virginia Experience", 2023 CSTE Annual Conference, Salt Lake City, June 2023
- N. C. Mandal, A. Adiga, G. Kaur, SV, B. Lewis, and M. Marathe, "An Exploration of Trained Ensemble Models for Epidemic Forecasting Based on Interval Scores", International Symposium on Forecasting, Charlottesville, June 2023
- L. Zhang, SV, "Methods based on Optimal Transport for Evaluation, Explanation, and Ensembling of Epidemic Forecasts (MOTEEF)", International Symposium on Forecasting, Charlottesville, June 2023
- "Chasing the pandemic: Computation models in the fight against COVID-19", Caritas Institute of Higher Education, Hong Kong, January 2023
2022
- "Phase-Informed Ensemble Model Training for Enhancing Forecasting Performance", poster at the Annual CSTE/CDC Infectious Disease Forecasting Workshop, Atlanta, October 2022
- "Integrating Human Judgment systems with Computational models for Epidemics", talk given at Virginia Department of Health, May 2022
- J. Chen, B. Lewis, M. Marathe, E. Raymond, SV, "National Data Driven Multi-scale Multi-agent models for real-time pandemic science", poster presented at the NACCHO Preparedness Summit, April 2022
2020
- "Computational Modeling and Data Strategies for Predicting and Responding to Pandemics", Intelligent Health Inspired Summit, May 2020
- "Estimating Global direct importation risk for COVID-19", Pandemic Prediction and Forecasting Science & Technology workgroup, February 2020
- P. Corbett, SV, B. Lewis, "CDC Aedes Forecasting Challenge: Historical Average and Ecological Niche Modeling", Vector-borne disease forecasting workshop, February 2020
2019
- SV, L. Wang, A. Fadikar, B. Lewis, J. Chen, H. Carscadden, P. Sambaturu, A. Vullikanti, and M. Marathe, "Multi-model Multi-target Approaches for Forecasting Seasonal Influenza in the United States", CSTE/CDC Seasonal Influenza Forecasting Workshop, August 2019
- "Computing for Health: In silico approaches for health sciences", IISc. Bangalore, January 2019
2018
- SV, J. Chen, A. Fadikar, B. Lewis, M. Marathe, S. Gupta, H. Mortveit, and A. Vullikanti, "Exploring optimal vaccine allocation using a national model of influenza", UNC Going Viral Symposium, April 2018 Best Poster Award
- "iFlu, e-Flu: where from and where to?", Virginia Tech Schiffert Health Center, March 2018
2017
- "Resource optimization problems using a mathematical model of influenza", 6th Annual MIDAS Outreach Conference, Harvard T.H. Chan School of Public Health, November 2017
2016
- SV, A. Adiga, A. Marathe, S. Eubank, M. Marathe, and R. Muniappan, "Towards an Integrated Network-based Approach to Modeling the Dynamics of Invasive Plant Pests", poster presented at KDD 2016 Workshop on Data Science for Food, Energy and Water
- "Modeling in the Time of Ebola: Using HPC Simulations to Understand Infectious Disease Dynamics", IISc. Bangalore and IIT Madras, February 2016
- "Ebola Forecasting Challenge: Team Virginia Tech", NIH/RAPIDD Ebola Forecasting Challenge workshop, February 2016
2015
- SV, J. Chen, B. Lewis, A. Vullikanti, and M. Marathe, "Calibration and Forecasting Framework for Infectious Diseases", International Symposium for Next Generation Infrastructure (ISNGI), September 2015
2013
- "Delay-Cost Optimal Coupon Delivery in Mobile Opportunistic Networks", High Dimensional Network Analytics Workshop, IISc. Bangalore, December 2013
2010
- SV and A. Kumar, "Influence Spread in Social Networks", TechVista – Microsoft Research India, January 2010