BIOM&S Seminar: Mathematical Modeling and analysis of within-host Influenza infection dynamics
SPEAKER: Blessing Emerenini, Oregon State University
ABSTRACT:
Past Events
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MSc. Stats Project Presentation: Methods for Clustered Longitudinal Data
CANDIDATE: GUYAN YANG
ABSTRACT:
MSc. Stats Project Presentation: Comparison of cox proportional hazards model and artificial neural networks on clinical data
CANDIDATE: CHRIS WERNER-WESTOBY
ABSTRACT:
PhD Stats Defence: Point process modelling of presence-only species data: methodological advances
CANDIDATE: JEFFREY DANIEL
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BIOMS Seminar: Asymptotic methods for models of liver metabolism
SPEAKER: John Ward, Loughborough University (England)
ABSTRACT:
ODE models have been used for decades in pharmacology to simulate drug toxicology. The systems are generally complex and nonlinear and the analysis undertaken is almost exclusively by computation. In this talk, a powerful analytical technique to study such models, known as singular perturbation theory, will be presented.
BIOM&S Seminar: Examples of Biological Control Exerted by Insects and Fungi
SPEAKER:
Ezio Venturino, Dipartimento di Matematica “Giuseppe Peano”, Universit`a di Torino, via Carlo Alberto 10, 10123 Torino, Italia, ezio.venturino@unito.it
Abstract
In this presentation we will review some recent models for the use of beneficial natural entities to fight pests in agriculture and purify plants effluents.
We would focus on the use of spiders especially in the Langa Astigiana, the main Piedmontese wine-producing area.
MSc. Math Defence: Topological Climate Change and Anthropogenic Forcing
CANDIDATE: Kolja Kypke
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MSc. Math Defence: Biocontrol of competing species with allee effect
CANDIDATE: VALERIE HODGINS
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PhD Math Defence: Controlling games, replicator dynamics and predator-prey models with transmission dynamics
CANDIDATE: AHMED SHAWKI JABER
ABSTRACT:
The concept of optimal control is one of the significant techniques to observe the evolution of various dynamical systems that can be modeled in a mathematical framework. In optimal control problem, the aim is to minimize a performance measure function by defining a control and state trajectories for a dynamical system over a specified period. The context of optimal control is widely used in various disciplines such as engineering, economics, biomathematics, and ecology.