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Update Data    roman@awsensors.com    
Last update: 14/02/2022
 
Name:
Roman Surname:  Fernandez Diaz
Institution: Advanced Wave Sensors S.L.
Type of Institution: Company
ORCID number: https://orcid.org/0000-0002-8883-4653
Country: Spain
WEB address: https://awsensors.com/
Working groups of interest
-WG1 - Advances in Porous Materials and Technologies
-WG2 - Health
Research field (Free keywords) biosensors, acoustic wave sensors, gated mesoporous thin films
Scientific expertise Dr. Roman Fernandez received his Ph.D. in Electronic Engineering in UPV in 2009. He worked at IMOS University of Magdeburg (Germany) designing and modelling the behaviour of a novel acoustic lateral field sensor for permittivity measurements. Later, he worked in the ultrasonic transducer department of AIDICO Technological Institute. In 2013, he joined AWSensors, a technology-based company focused on the development of novel biosensing approaches for diagnostic applications, where he is charge of the R&D Department. Recently, he has joined Uniersidad Politécnica de Valencia (UPV) as an affiliated professor. He has several publications in international recognized journals.
Capabilities Sensor characterization lab (impedance and network analyzers), Biosensor application lab, Clean room, mechanical fabrication lab (CNC), computer cluster for numerical modelling, electronic lab,
Relevant publications
(3 max.)
A Fast Method for Monitoring the Shifts in Resonance Frequency and Dissipation of the QCM Sensors of a Monolithic Array in Biosensing Applications. IEEE Sens. J. 2021, 21, 6643—6651.
High Fundamental Frequency (HFF) Monolithic Resonator Arrays for Biosensing Applications: Design, Simulations, Experimental Characterization. IEEE Sens. J. 2020, 21, 284—295.
Design and Validation of a 150 MHz HFFQCM Sensor for Bio-Sensing Applications. Sensors 2017,17, 9
Projects
(2 max.)
-Capturing non-Amplified Tumor Circulating DNA with Ultrasound Hydrodynamics, under Grant H2020-FETOPEN-2016-2017/737212-CATCH-U-DNA
-Reliable Liquid Biopsy technology for early detection of colorectal cancer, under Grant H2020 ICT-28-2015/687785-LIQBIOPSENS
 
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