IntechOpen Book Series Artificial Intelligence

### Volume 12

### Aims and Scope of the Series

Artificial Intelligence (AI) is a rapidly developing multidisciplinary research area that aims to solve increasingly complex problems. In today's highly integrated world, AI promises to become a robust and powerful means for obtaining solutions to previously unsolvable problems. This Series is intended for researchers and students alike interested in this fascinating field and its many applications.

## Meet the Series Editor

Andries Engelbrecht received the Masters and Ph.D. degrees in Computer Science from the University of Stellenbosch, South Africa, in 1994 and 1999 respectively. He is currently appointed as the Voigt Chair in Data Science in the Department of Industrial Engineering, with a joint appointment as Professor in the Computer Science Division, Stellenbosch University. Prior to his appointment at Stellenbosch University, he has been at the University of

Pretoria, Department of Computer Science (1998-2018), where he was appointed as South Africa Research Chair in Artifical Intelligence (2007-2018), the head of the Department of Computer Science (2008-2017), and Director of the Institute for Big Data and Data Science (2017-2018). In addition to a number of research articles, he has written two books, Computational Intelligence: An Introduction and Fundamentals of Computational Swarm Intelligence.

## Meet the Topic Editors

Dr. Marco Antonio Aceves Fernandez obtained his B.Sc. (Eng.) in Telematics from the Universidad de Colima, Mexico. He obtained both his M.Sc. and Ph.D. from the University of Liverpool, England, in the field of Intelligent Systems. He is a full professor at the Universidad Autonoma de Queretaro, Mexico, and a member of the National System of Researchers (SNI) since 2009. Dr. Aceves Fernandez has published more than 80 research papers as well as

a number of book chapters and congress papers. He has contributed to more than 20 funded research projects, both academic and industrial, in the area of artificial intelligence, ranging from environmental, biomedical, automotive, aviation, consumer, and robotics applications. He is also an Honorary President of the National Association of Embedded Systems (AMESE), a senior member of the IEEE, and a board member of many institutions. His research interests include intelligent and embedded systems.

Carlos M. Travieso-Gonzalez received his M.Sc. degree in Telecommunication Engineering at the Polytechnic University of Catalonia (UPC), Spain in 1997, and his 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 a 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 system, signal and image processing, machine learning, and environmental intelligence. He has participated in 52 international and Spanish research projects, some of them as a lead researcher. He is co-author of four books, co-editor of 27 proceedings books, guest editor for eight JCR-ISI international journals, and author of up to 24 book chapters. He has over 450 papers published in international journals and conferences (81 of them indexed in JCR – ISI - Web of Science) and has published seven patents in the Spanish Patent and Trademark Office. Dr. Travieso-Gonzalez has been a supervisor on eight Ph.D. theses (11 more under supervision), and 130 master theses. He is the founder of the IEEE IWOBI Conference Series and the President of its Steering Committee, as well as the founder of both the InnoEducaTIC and APPIS Conference Series. He is an evaluator of the project proposals for the European Union (H2020), Medical Research Council (MRC, UK), Spanish Government (ANECA, Spain), Research National Agency (ANR, France), DAAD (Germany), Argentinian Government, and the Colombian Institutions. He won the "Catedra Telefonica" Awards in Modality of Knowledge Transfer, 2017, 2018, and 2019 editions, and Award in Modality of COVID Research in 2020.

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