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个人简介
L. Fernandez received a B.S. in Physics (2005) and B.S. in Electronic Engineering (2011) from the University of Barcelona (UB). He received a master's degree in Nanoscience and Nanotechnology (UB, 2007). He received the Ph.D. degree in Engineering and Advanced Technologies from the University of Barcelona in 2016. He is currently at the Department of Electronic and Biomedical Engineering of the University of Barcelona. His research activities include chemical sensors, large sensor arrays, Liquid / Gas Chromatography Mass Spectrometry (LCMS and GCMS), Gas Chromatography Ion Mobility Spectrometry (GCIMS), Nuclear Magnetic Resonance (NMR), signal pre-processing, pattern recognition / machine learning algorithms, and bioinformatics and metabolomics.
His first research contribution was during his master's thesis. His work 'Assessment of the thermal stability of anodic alumina membranes' was published in the journal 'Materials Chemistry and Physics' (2008). During the development of that work, which was mainly focused on the synthesis and the evaluation of the thermal stability of a material, he realized the importance of data wrangling and pre-processing. He joined the groups Intelligent Signal Processing (ISP, Department of Electronics, UB) and Signal and Information Processing for Sensing Systems (SIPSS, The Institute for Bioengineering of Catalonia), both of them leaded by Dr. Santiago Marco.
He received a Research Collaboration Fellowship from the NeuroChem Project (Biologically Inspired Computation for Chemical Sensing, funded by the European Commission. He participated in this project between 2008 and 2011. Among other tasks, he was in charge of designing a chemical sensing system based on a large matrix of metal oxide sensors to study the effects of sensory diversity and redundancy in the predictive performance of the system. After the end the project, he received an APIF scholarship associated to a PhD thesis. The duration of this scholarship was four years (between 2011 and 2015). In 2012, he did a research stay of three months at Department of Chemical Engineering of the University of Manchester (UOM). In UOM, he learnt how to operate a large-scale matrix of polymeric sensors to acquire a data base of gas mixtures. The APIF scholarship also allowed him teaching at the University of Barcelona. At the end of his PhD thesis (defended in 2016), he had published five papers, four of which from the first quartile of the category Instrument and Instrumentation.
After completing his PhD thesis, he was contracted as a Laboratory Technician by Fundació Bosch i Gimpera, for six months. The contract was in the frame of the project Nanodevice Engineering for Better Chemical Gas Sensing (BetterSense, funded by the European Commission). His work consisted in acquiring datasets using a sensing system based on expendable sensors and build predictive models from these data. The purpose of this system was to estimate the concentration of Nitrogen Dioxide through Griess-Saltzman colorimetric reaction. As a result of this work, the paper 'Highly Specific NO2 Sensor with Color Readout' was published, in 2017, in the journal 'ACS sensors' (first quartile in the categories Nanoscience & Nanotechnology and Chemistry). Next, came back again to Institute for Bioengineering of Catalonia (IBEC), first as a Laboratory Technician (at the end of the year 2016), and later as Postdoc in Metabolomics (2017-2020 period). At IBEC, he was involved in several industrial projects, among which the more important were: 1) 'Technical and Scientific Assessment in Chemical Sensors and Data Analysis', with the company BSH Electrodomesticos España, S.A., and 2) 'Computational Metabolomics', with the Nestlé Institute for Health Sciences.
Finally, in the year 2020, he obtained a position as Professor Lector at the Department of Electronic and Biomedical Engineering of the University of Barcelona. Since then, he combines teaching and research activities. His current research is focused on developing signal pre-processing and pattern recognition workflows for Gas-Chromatography Ion Mobility Spectrometers (GC-IMS). CG-IMS can be used, for instance, to prevent alimentary fraud. This application was shown in the paper of R. Freire and L. Fernandez 'Full Workflow for the Analysis of Gas Chromatography - Ion Mobility Spectrometry in Foodmics: Application to the Analysis of Iberian Ham Aroma', published, in 2021, in the journal 'Sensors' (First quartile in the category Instrument and Instrumentation). L. Fernandez also explores another tentative application of GC-IMS technology (biomarker discovery) in the frame of National project TENSOMICS (Development of tensorial signal processing and machine learning tools tailored to the analysis of metabolomics, funded by Ministerio de Ciencia, Innovación y Universidades).
研究兴趣
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CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2023): 104938-104938
Sensors and Actuators B: Chemical (2022): 130961
Celia Mallafré-Muro, Meryl Cruz, Arnau Blanco I Borrego,Luis Fernández Romero, Antonio Pardo Martinez,Santiago Marco Colás
2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN)pp.1-4, (2022)
2022 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN)pp.1-3, (2022)
Francisco Madrid-Gambin,Sergio Oller-Moreno,Luis Fernandez,Simona Bartova,Maria Pilar Giner, Christopher Joyce, Francesco Ferraro,Ivan Montoliu,Sofia Moco,Santiago Marco
S. Mas, A. Torro,N. Bec,L. Fernández, G. Erschov,C. Gongora,C. Larroque, P. Martineau, A. de Juan,S. Marco
HAL (Le Centre pour la Communication Scientifique Directe) (2018)
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