State Reconstruction in Spatially Distributed BioProcess Systems using Reduced Order Models: Application to the Gluconic Acid Production. - Míriam R. García; Carlos Vilas; Julio R. Banga; Velislava N. Lyubenova; Maya N. Ignatova; Antonio A. Alonso (CDC/ECC, 2005)

Real time optimisation for thermal processes. - Míriam R. García; Carlos Vilas; Eva Balsa-Canto; Antonio A. Alonso (ECC, 2009)

Deep brain stimulation may reduce tremor by preferential blockade of slower axons via antidromic activation. - Míriam R. García; Mark Verwoerd; Barak A. Pearlmutter; Peter Wellstead; Richard H. Middleton (CDC/ECC, 2011)

On-line estimation in a distributed parameter bioreactor: Application to the gluconic acid production. - Míriam R. García; Carlos Vilas; Eva Balsa-Canto; Velislava N. Lyubenova; Maya N. Ignatova; Antonio A. Alonso (Comput. Chem. Eng., 2011)

Reducing computational time via order reduction of a class of reaction-diffusion systems. - Fernando Lopez-Caamal; Míriam R. García; Richard H. Middleton (ACC, 2012)

Analytic computation of the integrated response in nonlinear reaction-diffusion systems. - Fernando Lopez-Caamal; Míriam R. García; Diego A. Oyarzún; Richard H. Middleton (CDC, 2012)

A single compartment model of pacemaking in dissasociated Substantia nigra neurons - Stability and energy analysis. - Febe Francis; Míriam R. García; Richard H. Middleton (J. Comput. Neurosci., 2013)

Spatial Quantification of Cytosolic Ca2+ Accumulation in Nonexcitable Cells: An Analytical Study. - Fernando Lopez-Caamal; Diego A. Oyarzún; Richard H. Middleton; Míriam R. García (IEEE ACM Trans. Comput. Biol. Bioinform., 2014)

A Normalisation Strategy to Optimally Design Experiments in Computational Biology. - Míriam R. García; Antonio A. Alonso; Eva Balsa-Canto (PACBB, 2017)

Experimental Modeling and Identification of Cardiac Biomarkers Release in Acute Myocardial Infarction. - Anna Procopio; Carlo Cosentino; Salvatore De Rosa; Míriam R. García; Caterina Covello; Alessio Merola; Jolanda Sabatino; Alessia De Luca; Ciro Indolfi; Francesco Amato 001 (IEEE Trans. Control. Syst. Technol., 2020)