This book provides the most valuable and updated research on computational and mathematical models in biological systems from influential researchers around the world and contributes to the development of future research guidelines in this topic.
Topics include (but are not limited to):modeling infectious and dynamic diseases;
regulation of cell function;biological pattern formation;
biological networks;tumor growth and angiogenesis;
complex biological systems;Monte Carlo methods;
Control theory, optimization and their applications"synopsis" may belong to another edition of this title.
Carla M.A. Pinto is Coordinating Professor at the School of Engineering, Polytechnic of Porto, Portugal. She has a PhD degree in the scientific area of Mathematics, since January 2004. She is integrated member of the Center of Mathematics of the University of Porto, where she does her main research topic, Mathematical Epidemiology. She is interested in mathematical challenges and their role in providing advice on public health policies. Dr. Pinto is trained in Nonlinear Dynamics, Bifurcation Theory. Previous research included the analysis of Central Pattern Generators for Animal and Robot Locomotion, coupled cell networks, neuron-like equations (Hodgkin-Huxley equations, Fitz-Hugh Nagumo, Morris-Lecar). Dr. Pinto has been the recipient of several scientific awards, namely Gulbenkian Award for Young Scientists in 2003, Best Paper Award (2022, 2020, etc). Since 2017 she has developed a secondary research interest devoted to Mathematics Education, having been Coordinator of Erasmus+ projects, as well as Participant. She has more than 100 publications, and h-index of 22.
This book provides the most valuable and updated research on computational and mathematical models in biological systems from influential researchers around the world and contributes to the development of future research guidelines in this topic.
Topics include (but are not limited to):
modeling infectious and dynamic diseases;regulation of cell function;
biological pattern formation;biological networks;
tumor growth and angiogenesis;complex biological systems;
Monte Carlo methods;Control theory, optimization and their applications.
"About this title" may belong to another edition of this title.
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