Colloquium
Speaker: Prosenjit Roy, IIT Kanpur
Host: Parthanil Roy
Title: On Boundary Hardy Inequality
Time, day and date: 4:00:00 PM - 5:00:00 PM, Wednesday, 12th August 2026
Venue: Ramanujan Hall
Abstract: https://drive.google.com/file/d/1h3XP_VjXa2RFxRiRCtpLGueUAAG_eMi3/view?usp=sharing

Talk
Speaker: Dr. Biplab Maity, NDMC
Host: Siuli Mukhopadhyay
Title: Mathematical Modeling of Infectious Disease Dynamics and Control Strategies
Time, day and date: 4:30:00 PM – 5:30:00 PM, Wednesday, August 12
Venue: Room 105 (https://meet.google.com/jpd-irwv-prm)
Abstract: Emerging infectious diseases continue to pose major global health and economic challenges. Mathematical models provide a useful framework for understanding disease transmission and evaluating control strategies, particularly when resources are limited. My research focuses on developing mathematical models that incorporate disease-specific epidemiological and ecological features to understand epidemic dynamics and identify effective intervention strategies.
I will first present a theoretical framework for resource-constrained epidemic control, where resources can be allocated between interventions that reduce transmission and those that enhance recovery. I will show how the optimal balance between these interventions depends on their cost-efficiency and on the functional relationship, such as production functions, between resource investment and health outcomes.
I will then discuss how environmental reservoirs and pathogen ecology can shape epidemic dynamics, with a particular focus on cholera. I will show how interactions between pathogen and plankton populations can influence the timing and persistence of outbreaks and why incorporating ecological processes can improve disease prediction and control planning. In particular, I will present our study of the seasonal synchrony between cholera outbreaks and plankton blooms in coastal ecosystems. Our results show that plankton-mediated transmission can prolong outbreaks by sustaining low-level infections after the epidemic peak, increasing post-peak infections and promoting pathogen persistence between outbreaks.
Building on these theoretical results, I will present an empirical analysis of the 2017–18 cholera outbreak in Lusaka, Zambia, and a stochastic framework for assessing endemic persistence and estimating the expected time to disease extinction.
Overall, my research combines mathematical modeling, environmental reservoir ecology, data-driven calibration, and optimal control to understand infectious disease dynamics and develop actionable, context-specific strategies for disease prevention and public health decision-making.