15
staff
6.77 M
funding*
35
projects & contracts*
*data from the last 5 years
Research
Projects
Publications
  • Pedreira, A.; Vázquez, J.A.; García, M.R. (2022) Kinetics of Bacterial Adaptation, Growth, and Death at Didecyldimethylammonium Chloride sub-MIC Concentrations Frontiers in Microbiology DOI:10.3389/fmicb.2022.758237
  • Ovalle, J.C.; Vilas, C.; Antelo, L.T. (2022) On the use of deep learning for fish species recognition and quantification on board fishing vessels Marine Policy DOI:10.1016/j.marpol.2022.105015
  • González, P.; Osorio, R.R.; Pardo, X.C.; Banga, J.R.; Doallo, R. (2022) An efficient ant colony optimization framework for HPC environments Applied Soft Computing Journal DOI:10.1016/j.asoc.2021.108058
  • Otero-Muras I; Banga JR (2021) Synthetic Gene Circuit Analysis and Optimization " Computational Methods in Synthetic Biology" Humana Press / Springer ISBN:978-1-0716-0822-7
  • Otero-Muras I; Banga JR (2021) Automated Biocircuit Design with SYNBADm " Synthetic Gene Circuits" Springer ISBN:978-1-0716-1031-2
Theses
  • TFM - Andrea Arribas Jimeno (26/09/2022) Aplicabilidad de la tecnología de imágenes hiperespectrales (HSI) como método no invasivo para la evaluación de la calidad del pescado UNIVERSIDAD DE SANTIAGO DE COMPOSTELA
  • TFM - Artai Rodríguez Moimenta (19/07/2020) Desarrollo de un modelo de corte mecanístico que permita describir un proceso de fermentación mixta Universidad de Vigo (UVigo)
  • TFG - Laura Honrubia Baamonde (11/07/2019) Optimization of Benzalkonium Chloride treatment in the disinfection of L. Monocytogenes in the Food Industry UNIVERSIDAD DE LLEIDA
  • TFM - Pablo de la Torre Fernández (20/09/2018) Modelado del proceso de fermenatición vínica: co-cultivo de especies no convencionales Universidade da Coruña
  • PhD - Alejandro López Núñez (18/07/2018) CONTRIBUTIONS TO MATHEMATICAL MODELLING AND NUMERICAL SIMULATION OF BIOFILMS UdC
Innovation
Contracts
Capabilities
  • Capacidades | Desenvolvemento de bioprocesos (biorrefinerías) para extraer bioprodutos e compostos bioactivos a partir de subprodutos da industria alimentaria

    Desenvolvemento de bioprocesos que permiten extraer compoñentes útiles de interese industrial a partir de descartes e de subprodutos e efluentes da industria alimentaria. Caracterización bioquímica de compoñentes útiles presentes en distintos tipos de produtos e subprodutos pesqueiros, como coláxeno da pel, encimas das vísceras, condroitín sulfato presente na cartilaxe, quitina das coirazas de crustáceos e das cunchas de xiba ou hidrolizados de proteínas obtidos do músculo. Avaliación de aplicacións potenciais destes compostos mediante a caracterización das súas actividades biolóxicas (antioxidantes, etc.) e as súas propiedades funcionais para o seu uso en diversas industrias, como a biomédica, química, cosmética, alimentaria, etc.

  • Capacidades | Diseño de procedimientos de desinfección y modelado para la prevención de la resistencia a agentes antimicrobianos

    Desarrollo de estrategias químicas (combinaciones de desinfectantes, aceites esenciales) y biológicas (enzimas, fagos) que sean efectivas en la eliminación de biopelículas monoespecíficas y mixtas en superficies usadas en la industria alimentaria. Prueba de biocidas y desarrollo de mejores estrategias de dosificación de biocidas para la industria alimentaria, garantizando la seguridad alimentaria al tiempo que se evita la adquisición de resistencia a agentes antimicrobianos.

     

  • Capabilities | Development of Artificial Intelligence applications for fisheries management

    Development of Deep Learning algorithms that allow automating fisheries monitoring processes and reducing time and costs compared with processing by human observers. The applications developed range from innovative systems for real-time remote electronic monitoring, which identify and quantify total catches of fishing vessels (e.g., iObserver), to new image recognition techniques that allow individually identifying fish and estimating population parameters. 

     

  • Capacidades | Deseño de procedementos de desinfección e modelaxe para a prevención da resistencia a axentes antimicrobianos

    Desenvolvemento de estratexias químicas (combinacións de desinfectantes, aceites esenciais) e biolóxicas (encimas, fagos) que sexan efectivas na eliminación de biopelículas monoespecíficas e mixtas en superficies usadas na industria alimentaria. Proba de biocidas e desenvolvemento de mellores estratexias de dosificación de biocidas para a industria alimentaria, garantindo a seguridade alimentaria ao tempo que se evita a adquisición de resistencia a axentes antimicrobianos.

     

Products
  • Prototype | Morbidostat: Unraveling Antimicrobial Resistance

    Morbidostat is a computer-controlled continuous culture device that automatically adjusts drug concentration to maintain constant growth inhibition in microbial cultures. As bacteria acquire mutations that give them resistance against drugs, they are able to tolerate higher drug concentrations and grow faster, thus removing selective pressure, the driving force of evolution. To compensate for this, morbidostat increases drug concentration sufficiently to keep bacteria at their original growth rate, therefore maintaining selective pressure over time. This system allows for data acquisition to model microbial evolution under antimicrobial stress, optimize biocide dosage strategies and develop highly antimicrobial-resistant strains used to test the performance of new biocides, among other applications.

     

  • Software | AMIGO2: Advanced Modelling and Identification using Global Optimization, version 2

    AMIGO2 is a MATLAB-based multiplatform toolbox designed to solve mathematical optimization problems at the core of systems biology, within the context of parametric model identification, the underlying hypothesis for model development and the optimal control of biological systems to synthetically achieve the desired behavior.

    More information here.

  • Software | MITS: a Tabu search-based algorithm for mixed-integer nonlinear problems (MINLPs)

    Method described in: Exler, O., L.T. Antelo, J.A. Egea, A.A. Alonso and J.R. Banga (2008) A Tabu search-based algorithm for mixed-integer nonlinear problems and its application to integrated process and control system design. Computers & Chemical Engineering, 32(8):1877-1891.

    Software available upon request (email us if interested).

  • Software | PREMER: fast network inference with information theory

    PREMER (Parallel Reverse Engineering with Mutual information & Entropy Reduction) is an open-source, multi-platform software tool for inferring network structures from data using information-theoretic measures. While this general purpose tool has been developed with biological networks in mind, it can be applied to other areas.

    More information here.

     

Team

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