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Vladimir Robles-Bykbaev
PeerJ Author & Reviewer
170 Points

Contributions by role

Author 135
Reviewer 35

Contributions by subject area

Biotechnology
Drugs and Devices
Orthopedics
Statistics
Data Mining and Machine Learning
Human-Computer Interaction
Artificial Intelligence
Computer Vision
Neural Networks

Vladimir Robles-Bykbaev

PeerJ Author & Reviewer

Summary

Vladimir Robles-Bykbaev was born in Azogues, Cañar, Ecuador in 1980. He received the Computer Science Degree from the Politécnica Salesiana University (Ecuador) in 2006 and the M.Sc. degree in Artificial Intelligence, Pattern Recognition and Digital Imaging from the Polytechnic University of Valencia (Spain) in 2008. In 2016 he received the Ph.D. degree in Information and Communication Technologies from University of Vigo (Spain). Since 2008, he has been an Assistant Professor with the Computer Science Department, Politécnica Salesiana University. He is a founding member of the UNESCO Chair on Assistive Technologies for Educational Inclusion in the same university. His research interests include the application of artificial intelligence techniques in different fields such as the analysis of biomedical images, the educational inclusion of children, youth and older adults with and without disabilities as well as the rescue and preservation of the cultural heritage of Andean originary people. Currently, Vladimir has three books and more than 100 articles published in different conferences and journals.

Artificial Intelligence Biotechnology Computer Education Data Mining & Machine Learning Data Science Drugs & Devices Statistics

Past or current institution affiliations

Universidad Politécnica Salesiana

Work details

Researcher/Lecturer

Universidad Politécnica Salesiana
September 2008
GI-IATa, Cátedra UNESCO Tecnologías de apoyo para la Inclusión Educativa
Reasearcher at the Research Group on Artificial Inteligence and Assistive Technologies and the UNESCO Chair on Support Technologies for Educational Inclusion. In charge of the following courses: - Artificial Intelligence, levels I and II - Expert Systems - Simulation - Machine Learning

Websites

  • ResearcherID
  • Google Scholar
  • GitHub
  • LinkedIn

PeerJ Contributions

  • Articles 1
July 5, 2019
An artificial-vision- and statistical-learning-based method for studying the biodegradation of type I collagen scaffolds in bone regeneration systems
Yaroslava Robles-Bykbaev, Salvador Naya, Silvia Díaz-Prado, Daniel Calle-López, Vladimir Robles-Bykbaev, Luis Garzón, Clara Sanjurjo-Rodríguez, Javier Tarrío-Saavedra
https://doi.org/10.7717/peerj.7233 PubMed 31316873