Maria Teresa Chiri


Assistant Professor

Office: Jeffery Hall, Rm. 414
Phone: (613) 533-2408
Email: maria.chiri@queensu.ca
Website:
Research: Optimal control, hyperbolic conservation laws, calculus of variations

Degrees & Accolades:

Ph.D. (University of Padova, 2019)
M.Sc. (University of Pisa, 2016)
B.Sc. (University of Salento, 2013)

Research Profile:

My research focuses on methods coming from partial differential equations, calculus of variations and control theory to study problems in applied sciences.
In particular I work on

  • control of invasive biological species
  • traffic flow with autonomous vehicles
  • confining fire and optimal blocking problems
  • bioinspired PDE models (bio-robotics)
  • control of conservation laws
  • numerical methods for hyperbolic systems of conservation laws

Research Areas:

Problem 1: It is possible to control a stable traveling wave for a system of Parabolic Partial Differential Equation? Specifically, can we reverse the movement of the wave? The answer to this question would help to determine strategies for the eradication of invasive species! The study of this problem requires knowledge of PDEs and optimal control theory.

Problem 2: Imagine having a contaminated region that expands with constant speed in the normal direction. Suppose we can only use pesticides along the boundary of this region. In which parts of the perimeter is it most convenient to distribute the pesticide in order to eradicate the contamination and minimize the quantity of pesticide used? This problem requires knowledge in calculus of variations, geometric measure theory, and control theory.

Problem 3: Suppose we want to model the traffic of a large city. One possibility is to consider a network in which each edge is a road and the density of vehicles evolves according to a scalar conservation law. If we consider one equation for each road, the model becomes too complicated, so we use conservation laws for large-capacity streets, and diffusion in R2 for neighborhoods with small streets. What is an efficient way to write this multiscale model? To study this problem it is necessary to know PDEs and in particular conservation laws.