Carlos M. Travieso-Gonzalez

University of Las Palmas de Gran Canaria, Spain

Carlos M. Travieso-González received an M.Sc. degree in 1997 in telecommunication engineering at the Polytechnic University of Catalonia (UPC), Spain, and a Ph.D. degree in 2002 at the University of Las Palmas de Gran Canaria (ULPGC-Spain). He is a full professor of signal processing and pattern recognition and is the head of the Signals and Communications Department at ULPGC, teaching from 2001 on subjects on signal processing and learning theory. His research lines are biometrics, biomedical signals and images, data mining, classification systems, signal and image processing, machine learning, and environmental intelligence. He has researched 54 international and Spanish research projects, some of them as head researcher. He is co-author of four books, co-editor of 25 proceedings books, and guest editor for eight JCR-ISI international journals and up to 24 book chapters. He has over 480 papers published in international journals and conferences (95 of them indexed on JCR–ISI–Web of Science). He has published seven patents in the Spanish Patent and Trademark Office. He has been a supervisor on 12 Ph.D. theses (with seven more under supervision) and 150 masters theses. He is the founder of the IEEE IWOBI conference series and president of its Steering Committee, the InnoEducaTIC conference series, and the APPIS conference series. He is an evaluator of project proposals for the European Union (Horizon Europe and H2020—EU), Medical Research Council (MRC—UK), Spanish government (ANECA—Spain), Spanish Research Agency (AEI—Spain), Croatian Science Foundation (HRZZ—Croatia), Research National Agency (ANR—France), DAAD in Spain (Germany), the Argentinian government, and Colombian institutions. He has been a reviewer in different indexed international journals (<75) and conferences (<250) since 2001. He has been a member of the IASTED Technical Committee on Image Processing from 2007 and a member of the IASTED Technical Committee on Artificial Intelligence and Expert Systems from 2011. He has been APPIS 2018, 2019, and2022–2024 general chair; IEEE-IWOBI 2014, 2015, 2017, 2019, and 2022 general chair, ACM-APPIS 2020 general chair, InnoEducaTIC 2014 and 2017 general chair; IEEE-INES 2013 general chair, NoLISP 2011 general chair, JRBP 2012 general chair, and IEEE-ICCST 2005 co-chair. He is an associate editor of the Computational Intelligence and Neuroscience journal (Hindawi—Q2 JCR-ISI) in entropy (MDPI—Q2 JCR-ISI) and sensors (MDPI—Q1 JCR-ISI). He was vice-dean from 2004 to 2010 in the Higher Technical School of Telecommunication Engineers at ULPGC, and vice-dean of Graduate and Postgraduate Studies from March 2013 to November 2017. He won the “Catedra Telefonica” Awards in the modality of Knowledge Transfer in 2017, 2018, and 2019; in 2020, in the modality of COVID Research; and in 2021, 2022, and 2023 in the modality of Research Project. He received the Spanish national award in the second edition of E-nnova Health 2022 of Diario Médico and Correo Farmacéutico in the category of Big Data and Artificial Intelligence, for the proposal entitled “Implementation of the digital twin in SARS-COV-2 patient as a prognostic prediction,” in October 2022. He was a finalist in the ABB Award in 2023 with a proposal entitled “Energy Predictor” in the modality of public administration. In 2022, he was one of the researchers included as a member of the 2 percent most influential group in the world, according to the 2022 edition of the Stanford ranking compiled by John P. A. Ioannidis (Stanford University), Kevin W. Boyack (SciTech Strategies), and Jero en Baas (Research Intelligence, Elsevier B.V.), which analyses his scientific output and the citations he has received, among other criteria.

Carlos M. Travieso-Gonzalez

4books edited

10chapters authored

Latest work with IntechOpen by Carlos M. Travieso-Gonzalez

Nowadays, technological advances allow the development of many applications in different fields. In this book, “Applications of Pattern Recognition”, two important fields are shown. The first field, data analysis, is a good tool to identify patterns; in particular, it is observed by a stereoscopic calculation model based on fixation eye movement, a visual interactive programming learning system, an approach based on color analysis of Habanero chili pepper, an approach for the visualization and analysis of inconsistent data, and finally, a system for building 3D abstractions with wireframes. On the other hand, automatic systems help to detect or identify different kinds of patterns. It is applying to incomplete data analysis a retinal biometric approach based on crossing and bifurcation, an Arabic handwritten signature identification system, and finally, the use of clustering methods for gene expression data with RNA-seq.

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