Srini Venkatramanan

Mentoring

Graduate and undergraduate students mentored, and training activities delivered.

Graduate Students

  • Jeremy Nachison (2024–25, Masters)
    Project: Measures of predictability in metapopulation epidemic dynamics
  • Ajay Sanjeevan (2022–23, Masters)
    Project: Phase-based Epidemic Time series Analyzer (PEpiTA)
  • Akhil Peddireddy (2019–20, Masters, co-advisor)
    Thesis: Real-time epidemic surveillance management for supporting COVID-19 response workflows

Undergraduate Students

  • Niharika Chandna (Summer 2025)
    Spillover effects across subpopulations in epidemic simulations
  • Jeremy Nachison (2022–24)
    A multi-scale model for viral dynamics across a population
  • Lanyin Zhang (2022–23)
    Quantifying epidemic forecast diversity and change through optimal transport
  • Rohit S. Rajuladevi (2021–23)
    Spatiotemporal models for epidemic dynamics
  • Wright Quist (Summer 2023)
    Predicting epidemic cascades using metapopulation models
  • Andrew Murphy (Summer 2019)
    Hierarchical seasonal autoregressive models for influenza forecasting
  • Patrick Corbett (Spring 2019)
    Forecasting Aedes mosquito abundance in United States
  • Ethan Ludwick (Summer 2018)
    Machine learning and satellite imagery to map C. odorata in Nepal
  • Kingsley Nwosu Jr. (Summer 2017)
    Computational methods for stockpile allocation during epidemics
  • Asia Taylor (Summer 2017)
    Assessing the resolution of Influenza surveillance datasets in the US

Training

  • B. Lewis, SV, P. Porebski, M. Wilson, S. Hoops, M. Marathe, C. Barrett, and B. Klahn, “EXCEADS – A Computational Epidemiology Platform”
    Pre-conference tutorial at MIDAS Annual Meeting, December 2024
  • B. Lewis and SV, “Modeling and Simulation Training using EXCEADS platform”
    Defense Threat Reduction Agency, September 2024
  • Mentor, CSTE Peer-to-Peer group on Wastewater Surveillance
    April–July 2024
  • “Extracting Categorical Indicators from Epidemiological Timeseries”
    Presentation and tool demonstration, 2023 CSTE Annual Conference – Infectious Disease Forecasting Workshop, Salt Lake City, June 2023
  • Tutorial on Multi-agent systems for COVID-19 and future pandemics
    AAMAS 2021
  • Modeling and Simulation Training using SIBEL platform
    Defense Threat Reduction Agency, September 2017