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Fernández Caballero Fariñas, Mª Dolores

Grupo de Sistemas y tecnologías ultrasónicas (GSTU)
Investigadora contratada
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438813
913 918 664
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Lola Fariñas is a postdoctoral research fellow 'Juan de la Cierva-incorporación' at the Spanish National Research Council (ITEFI-CSIC). She holds a PhD and a MSc in Biomedical Engineering from the Technical University of Madrid (UPM) and her research focuses on the characterization of complex materials and process monitoring. Her differential value is the multidisciplinary approach to each problem and the use of novel ultrasonic technologies. Her research work has taken her to numerous international institutions such as MIT, the University of Glasgow, Harvard University, UPV or the University of California. In addition, she has also worked in the private sector at the NDT industry and in a startup powered by Google as a data scientist. In the scientific field, she has been awarded with several fellowships and grants (FPI, excellence fellow of La Residencia de Estudiantes, Spanish representative of the 66th Meeting of Nobel Laureates, Juan de la Cierva-formación, EIT-Climate fellow, Ikerbasque Research Fellow...). In the transference field, she has collaborated in some patents, has been selected by the Choiseul Institute for its annual ranking on two occasions and has promoted a deep-tech spin-off project that was awarded in the acceleration program The Collider (Mobile World Capital). Moreover, she actively collaborates in scientific outreach initiatives.

 

Proyectos de investigación recientes

Acoustic sensor solutions integrated with digital technologies as key enablers for emerging applications fostering Society 5.0

Publicaciones recientes

Micronized Recycle Rubber Particles Modified Multifunctional Polymer Composites: Application to Ultrasonic Materials Engineering
Polymers 2022, 14, 3614
Contact-less, non-resonant and high-frequency ultrasonic technique: Towards a universal tool for plant leaf study
Computers and Electronics in Agriculture, Volume 199, 2022, 107160
Fast and non-destructive ultrasonic test for face masks
Ultrasonics, Volume 117, 2021, 106556
Instantaneous and non-destructive relative water content estimation from deep learning applied to resonant ultrasonic spectra of plant leaves
Plant Methods 15, 128 (2019)
Acoustics and Non Destructive Evaluation (DAEND)
  • Environmental Acoustics (GAA)
  • G Carma: Materials Characterization by Non Destructive Evaluation
  • ULAB, Ultrasounds for Liquid Analysis and Bioengineering
Information and Communication Technologies (TIC)
  • Cybersecurity and Privacy Protection Research Group (GiCP)
  • Research group on Cryptology and Information Security (GiCSI)
    • Quantum Communications Laboratory (LCQE)
  • Multichannel Ultrasonic Signal Processing Group (MUSP)
Sensors and Ultrasonic Systems (DSSU)
  • Ultrasonic Systems and Technologies (USTG)
  • Nanosensors and Smart Systems (NoySi)
  • Ultrasonic Resonators for cavitation and micromanipulation (RESULT)
  • Advanced Sensor Technology (SENSAVAN)
  • Quantum Electronics (QE)
Laboratorios
  • Laboratorio de Acústica
  • Laboratorio de Metrología Ultrasónica Médica (LMUM)
  • Laboratorio de Comunicaciones Cuánticas
  • Laboratory for International Collaboration in Advanced Biophotonics Imaging

Instituto de Tecnologías Físicas y de la Información Leonardo Torres Quevedo  - ITEFI
C/ Serrano, 144. 28006 - Madrid • Tel.: (+34) 91 561 88 06  Contacto  •  Intranet
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