Srini Venkatramanan

Talks & Abstracts

Invited talks, posters, and abstracts. Author initials "SV" denote Srinivasan Venkatramanan; "..." marks author lists condensed for length.

Invited Talks

2026

  1. 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 Slides

2023

  1. "Wastewater surveillance for COVID-19 forecasting: Promises and Pitfalls", Annual CSTE/CDC Infectious Disease Forecasting Workshop, Atlanta, September 2023 Slides
  2. "Chasing the pandemic: Computation models in the fight against COVID-19", Caritas Institute of Higher Education, Hong Kong, January 2023 Slides

2022

  1. "Integrating Human Judgment systems with Computational models for Epidemics", talk given at Virginia Department of Health, May 2022 Slides

2020

  1. "Computational Modeling and Data Strategies for Predicting and Responding to Pandemics", Intelligent Health Inspired Summit, May 2020 Slides
  2. "Estimating Global direct importation risk for COVID-19", Pandemic Prediction and Forecasting Science & Technology workgroup, February 2020 Slides

2019

  1. 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 Slides
  2. "Computing for Health: In silico approaches for health sciences", IISc. Bangalore, January 2019 Slides

2018

  1. "iFlu, e-Flu: where from and where to?", Virginia Tech Schiffert Health Center, March 2018 Slides

2017

  1. "Resource optimization problems using a mathematical model of influenza", 6th Annual MIDAS Outreach Conference, Harvard T.H. Chan School of Public Health, November 2017 Slides

2016

  1. "Modeling in the Time of Ebola: Using HPC Simulations to Understand Infectious Disease Dynamics", IISc. Bangalore and IIT Madras, February 2016 Slides
  2. "Ebola Forecasting Challenge: Team Virginia Tech", NIH/RAPIDD Ebola Forecasting Challenge workshop, February 2016 Slides

2014

  1. SV and A. Kumar, "Influence Dynamics on Social Networks", Ph.D. colloquium, Department of ECE, Indian Institute of Science, August 2014 Slides

2013

  1. "Delay-Cost Optimal Coupon Delivery in Mobile Opportunistic Networks", High Dimensional Network Analytics Workshop, IISc. Bangalore, December 2013 Slides

2012

  1. SV and A. Kumar, "Co-evolution of Popularity and Content Spread in Mobile Opportunistic Networks", ECE student colloquium, Indian Institute of Science, December 2012 Slides

2010

  1. SV and A. Kumar, "Influence Spread in Social Networks", TechVista – Microsoft Research India, January 2010 Slides

Posters & Abstracts

2026

  1. SV, S. Mutnuri, M. Marathe, A. Adiga, and A. Carlson, "Towards a synthetic model for cortical spreading depolarization", International Conference on Spreading Depolarization (iCSD 2026), Charlottesville, September 2026
  2. S. Mutnuri, A. Adiga, SV, M. Marathe, L. Fedor, B. Shuttleworth, and A. Carlson, "Machine learning methods for detecting SD events in spatially linked scalp recordings", International Conference on Spreading Depolarization (iCSD 2026), Charlottesville, September 2026

2024

  1. 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 Poster
  2. 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 Slides
  3. 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 Slides
  4. J. Nachison and SV, "On the Predictability of Spatiotemporal Epidemics", MIDAS Annual Meeting, November 2024 Slides Poster
  5. 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
  6. 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
  7. G. Kaur, A. Adiga, B. Hurt, B. Klahn, J. Crow, A. Telionis, R. Singh, M. Yancey, A. Warren, 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
  8. L. Critchley, B. Hurt, G. Kaur, A. Adiga, B. Klahn, A. Sanjeevan, J. Crow, A. Telionis, 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

  1. R. K. Borchering, J. Davis, S. Mathis, ..., 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 Poster
  2. 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 Poster
  3. 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 Slides
  4. 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 Slides
  5. 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
  6. 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
  7. L. Zhang, SV, "Methods based on Optimal Transport for Evaluation, Explanation, and Ensembling of Epidemic Forecasts (MOTEEF)", International Symposium on Forecasting, Charlottesville, June 2023

2022

  1. "Phase-Informed Ensemble Model Training for Enhancing Forecasting Performance", poster at the Annual CSTE/CDC Infectious Disease Forecasting Workshop, Atlanta, October 2022
  2. 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

  1. P. Corbett, SV, B. Lewis, "CDC Aedes Forecasting Challenge: Historical Average and Ecological Niche Modeling", Vector-borne disease forecasting workshop, February 2020 Poster

2018

  1. 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 Poster

2017

  1. SV, A. Adiga, S. Eubank, B. Kaperick, A. Marathe, M. Marathe, B. Shi, and S. Wu, "Hybrid models for ecological and anthropogenic drivers of pest invasion: Case study of Tuta absoluta in Nepal", International Conference on Biodiversity, Climate Change Assessment and Impacts on Livelihood (ICBCL), Kathmandu, January 2017 Slides

2016

  1. 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

2015

  1. 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 Slides

General Audience Talks

2023

  1. "Data, data everywhere?", lightning talk at the Global Pervasive Computational Epidemiology (GPCE) Spring Meeting, June 2023 Slides

2016

  1. "How to give a technical talk?", tech talk, Biocomplexity Institute, Virginia Tech, August 2016 Slides