Iterative Stochastic Numerical Methods for Statistical Sampling
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.
Tutorial Lecture Series on Infectious Diseases Affecting Africa - Part 4
Explore infectious diseases impacting Africa in this lecture, part of a series examining public health challenges and mathematical approaches to addressing them.
Simulating an Epidemic
Explore epidemic dynamics through toy SIR models, visualizing how various factors influence disease spread and containment strategies.
Tutorial Lecture Series on Infectious Diseases Affecting Africa - Part 2
Explore infectious diseases impacting Africa through mathematical modeling, focusing on transmission dynamics, control strategies, and public health implications.
Linear Operator Theoretic Framework for Data-Driven Optimal Control
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.
State Estimation of Complex Systems
Explore state estimation techniques for complex systems, focusing on advanced methods and applications in dynamical systems and machine learning.
Discovering Dynamics and Parameters of Nonlinear Systems from Partial Observations
Explore techniques for uncovering nonlinear system dynamics and parameters using incomplete data, enhancing understanding of complex systems and their behavior.
Differentiable Programming for Data-driven Modeling, Optimization, and Control
Explore data-driven modeling, optimization, and control through differentiable programming techniques in this symposium talk by Jan Drgona from Pacific Northwest National Laboratory.
Understanding Chemotherapeutic Tolerance Through a Mathematical Model of Drug-Induced Resistance
Explore a mathematical model of drug-induced resistance in cancer treatment, examining chemotherapeutic tolerance and its implications for oncology.
Emerging Interactions in Humans and Machines: From Social Physiology to Social Neuro-AI
Explore social cognition through multi-brain neuroscience and neuro-inspired AI, bridging intra-personal mechanisms and inter-personal dynamics to understand higher-level intelligence in humans and machines.
Personalized Cancer Treatment: Integrating Digital Twins and Quantitative Systems Pharmacology
Explore innovative approaches to personalized cancer treatment using digital twins and quantitative systems pharmacology for improved patient outcomes.
A Machine Learning Approach to Biology: Applying Data-Driven Model Discovery Methods
Explore machine learning biology and data-driven model discovery methods in mathematical oncology, focusing on CAR T-cell immunotherapy and glioblastoma research.
Implementation of Hybridizable Discontinuous Galerkin Methods - MFEM Workshop 2023
Explore advancements in hybridizable discontinuous Galerkin methods for high-order finite element calculations, featuring flexible implementations for diverse PDEs and applications.
Age of Infection Disease Modeling: From Kermack and McKendrick to Multi-Compartment Models
Explore the evolution of infectious disease modeling, from early Kermack-McKendrick theories to modern multi-compartment approaches, enhancing understanding of epidemiological dynamics.
Epidemiological Approach to Tau Propagation in Alzheimer's Disease
Explore an epidemiological perspective on tau protein propagation in Alzheimer's, uncovering insights into disease progression and potential interventions.
Epidemics on Large Networks - Phase Transitions and Survival Time
Explore epidemic models on large networks, focusing on phase transitions in survival time for deterministic and random graphs. Recent progress and open questions discussed.
Data Assimilation - Kalman Filter - Lecture 7
Explore Kalman Filter in data assimilation for weather and climate models. Learn theoretical foundations and practical applications of this crucial mathematical approach.
Non-Asymptotic Analysis of a Classical System Identification Algorithm - 2019 ADSI Summer Workshop
Explore non-asymptotic analysis of classical system identification with Necmiye Ozay, delving into advanced algorithmic foundations for learning and control in this insightful conference presentation.
Understanding Pandemic Dynamics Through the Lens of Human Behavior
Explore how human behavior influences pandemic dynamics, integrating mathematical modeling with behavioral insights for more effective public health strategies and disease control.
MRI-Based Mathematical Modeling to Predict Breast Cancer Patient Response to Neoadjuvant Therapy
Explore mathematical modeling using MRI data to predict breast cancer treatment responses, enhancing personalized therapy approaches and improving patient outcomes.
Lymphatic System Transport and Vaccine Design
Exploring lymphatic transport's role in vaccine efficacy, combining mathematical models and experiments to understand fluid dynamics in immune response and optimize vaccine delivery.