Homepage of Míriam R. García




My interest is the control of complex behaviours in medicine and the food industry using mechanistic mathematical models. The challenge lays on increasing the predictive capabilities of such mathematical models.
My usual mathematical methods and tools...
Model identification loop.
  • Structural identifiability and model discrimination.
  • Optimal experimental design.
  • Parameter estimation and sensitivity analysis.
  • Practical identificability analysis and confidence analysis.
  • Parameter Distributed Systems:
  • Reaction-diffusion systems.
  • Stochastic systems and the Fokker-Plank equation.
  • Simulation and reduced order model, optimization and state identification.
  • Real time optimization and predictive control of spatially distributed processes.
  • ...and the applications after my PhD
    Food Safety with focus on Antimicrobial resistance (Independent research line: PI Míriam R. García)

    (2019-2022) "ControlAR: Model-based process engineering to CONTROL Antimicrobial Resistance for the food industry 4.0". RTI2018-093560-J-I00 (MCIU/AEI/FEDER, UE)

    (2015-2018) "RESISTANCE: Development of models and efficient numerical tools for the control of bacterial RESISTANCE to antimicrobials in the food industry". DPI2014-54085-JIN (MCIU/AEI/FEDER, UE)
  • For details see the project web here

  • Food Quality (PI Antonio A. Alonso)

    (2012-2015) Within the framework of the project: "IS-FOR-QUALITY- Intelligent Sensors for On-Line Safety and Quality Control of Food Products"
  • Prediction of fish quality and shelf-life, with special emphasis in estimating their variability
  • Exploitation of the modified Fokker-Planck equation to obtain parameters of individual bacteria from population data

  • Systems Engineering in Medicine (PI: Peter E. Wellstead and Richard H. Middleton) ,

    (2008-2012) Within the framework of the project: "The systems of Parkinson's Disease"
  • The pathological processes that govern the causes and progress of Parkinson's disease by using Systems Biology methods.
  • The role of oscillatory theory in brain function: Deep Brain Stimulation as a treatment for Parkinson's Disease.
  • Spatiotemporal calcium signalling

  • For futher details, please see my list of publications and conference contributions.