
Explore mathematical modeling of pandemics, focusing on COVID-19's impact and social consequences in the Americas with experts from University of Miami and Princeton University.

Explore the intersection of machine learning and dynamical systems, focusing on transport phenomena in reservoir computing and its applications in data analysis and prediction.

Comprehensive overview of infectious diseases in Africa, focusing on epidemiology, transmission dynamics, and control strategies for major health challenges affecting the continent.

Explore infectious diseases impacting Africa through mathematical modeling, focusing on transmission dynamics, control strategies, and public health implications.

Explore innovative methods for handling model errors in inverse problems, focusing on CT reconstruction with uncertain view angles and improving image quality through uncertainty quantification.

Explore mathematical frameworks for signal and image analysis, focusing on multiresolution analysis and wavelets, with renowned mathematician Ingrid Daubechies.

Explore mathematical modeling of vaccination decisions, considering social pressure, morality, and cognitive dissonance factors in public health strategies.

Explore HIV-1 evolutionary dynamics in lymphoid tissues, focusing on follicular and extra-follicular compartments. Gain insights into viral behavior and potential implications for treatment strategies.

Explores strategic user behavior in games, focusing on traffic routing and online auctions. Discusses recent developments in repeated games with carry-over effects, particularly in queuing systems.

Experts discuss COVID-19 modeling in France, challenges in decision support, and findings as societies reopen, offering insights into statistical approaches for pandemic response.

Explore a probabilistic model for regional COVID-19 transmission using mobile data and epidemiological time series, with insights on its practical application in Norway's pandemic management.

Explore data-driven modeling of COVID-19 in India, examining intervention timing, estimating unreported deaths, and developing a framework for pandemic resilience through mathematical analysis.

Explore the unique gravitational effects of a doughnut-shaped planet through simulation, uncovering fascinating orbital dynamics and challenging conventional understanding of planetary physics.

Explore stochastic algorithms for Bayesian inference, blending molecular dynamics with data analytics. Learn innovative approaches to merge physical laws and data science in engineering applications.

Explore infectious diseases impacting Africa in this lecture, part of a series examining public health challenges and mathematical approaches to addressing them.

Explore epidemic dynamics through toy SIR models, visualizing how various factors influence disease spread and containment strategies.

Explore infectious diseases impacting Africa through mathematical modeling, focusing on transmission dynamics, control strategies, and public health implications.

Discover geomechanical modeling for CO2 storage and geothermal projects with Dr. Stefano Mantica. Learn about applied mathematics in renewable energy and climate change solutions.

Explore a novel approach to data-driven optimal control using linear operator theory, presented by Umesh Vaidya from Clemson University at the Fourth Symposium on Machine Learning and Dynamical Systems.

Explore state estimation techniques for complex systems, focusing on advanced methods and applications in dynamical systems and machine learning.

Explore techniques for uncovering nonlinear system dynamics and parameters using incomplete data, enhancing understanding of complex systems and their behavior.