- First Series:
Scientific Committee - Second Series:
Scientific Committee - Third Series:
Scientific Committee
IEEE COINS Collaboration: - Scientific Committee: IEEE COINS 2021 - Special Track on “Intelligent Internet of Things and Advanced Machine Learning Techniques for Smart Cities”
- TPC Member: IEEE COINS2022 -
Ask him about “Data Mining” and “Software Networks”
Octavio Loyola-González, Ph.D., received his B.Eng. in Informatics Engineering in 2010 and his M.Sc. degree in Applied Informatics in 2012, both from the University of Ciego de Ávila, Cuba. He received his Ph.D. in Computer Science in 2017 from the National Institute of Astrophysics, Optics and Electronics, Mexico. He received the Best Thesis Award “José Negrete” for the Doctoral Thesis Category on Artificial Intelligence sponsored by the Mexican Society for Artificial Intelligence (SMIA). Prizewinner in the XXXI National Contest of Computer Science Thesis (ANIEI). Prizewinner to the best PhD Thesis in the Computer Science Coordination at National Institute of Astrophysics, Optics and Electronics. He is currently a Research Professor at the Tecnologico de Monterrey (Campus Puebla), where he is also a member of the GIEE-ML (Machine Learning) Research Group. Also, currently, he is a Member of the Mexican Researchers System (Rank 1). Dr. Loyola-González has been involved in many research projects about pattern recognition, which have been applied on biotechnology, dactyloscopy, and cybersecurity problems.
His current research interest includes contrast pattern-based classification, data mining, one-class classification, masquerader detection, fingerprint and palmprint identification, 5G, Cybersecurity, Software Networks, and Internet Security.