Project-Team:MAMBA

Project-Team Mamba

Team, Visitors, External Collaborators

Overall Objectives

Context and overall objectives of the project-team

Research Program

Introduction
Methodological axis 1: analysis and control for population dynamics
Methodological axis 2: reaction and motion equations for living systems
Methodological axis 3: Model and parameter identification combining stochastic and deterministic approaches in nonlocal and multi-scale models

Application Domains

Introduction
Applicative axis 1: Focus on cancer
Applicative axis 2: Growth, evolution and regeneration in populations and tissues

Highlights of the Year

New Software and Platforms

TiQuant
TiSim
Platforms

New Results

Modelling Polymerization Processes
Large Stochastic Networks
Control Strategies for Sterile Insect Techniques
Optimal replacement strategies, application to Wolbachia
Oscillatory regimes in population models
Feedback control principles for population replacement by Wolbachia
Bacterial motion by run and tumble
Numerical methods for cell aggregation by chemotaxis
Focus on cancer
Deformable Cell Modeling: biomechanics and Liver regeneration

Bilateral Contracts and Grants with Industry

Bilateral Contracts with Industry

Partnerships and Cooperations

National Initiatives
European Initiatives
International Initiatives
International Research Visitors

Dissemination

Promoting Scientific Activities
Teaching - Supervision - Juries
Popularization

Bibliography

Publications of the year
References in notes

Inria | Raweb 2018 | Presentation of the Project-Team MAMBA | MAMBA Web Site


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Section: New Results

Large Stochastic Networks

The equilibrium properties of allocation algorithms for networks with a large number of nodes with finite capacity are investigated in [46] and in [60].

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