Gloria Inés Álvarez

Departamento de Electrónica y Ciencias de la Computación
Ext. 8397
  • 2007: Doctor in Engineering, Universidad Politécnica de Valencia, Valencia, Spain.
  • 1994: Masters in Systems and Computation, Universidad de los Andes, Bogotá D.C., Colombia.
  • 1989: Bachelor in Systems Engineering, Universidad Autónoma de Manizales, Manizales, Colombia.
  • 1997-Present: Pontificia Universidad Javeriana, Cali, Colombia.
  • 1990-1998: Research Coordinator, Universidad Autónoma de Manizales, Manizales, Colombia.

Professor Alvarez does research in automated inductive learning.  She uses grammatical inference methods based on mixing states that produce finite state automata models.  She has demonstrated that symbolic inductive learning methods (not based on probability) can produce competitive results while enabling a more natural representation of knowledge.  She has contributed new algorithms and applied them to natural language learning, prediction of poliprotein cleavage sites, and automated recommendation.

Currently Funded Research

Hidden Markov models in natural language recognition. Product configuration and assembly in a software production line (grant: Javeriana).


  • Jheyson Vargas, Jairo Andres Velasco, Gloria Ines Alvarez, Diego Luis Linares, and Enrique Bravo. False positive reduction in automatic segmentation system. In Advances in Computational Biology, volume 232 of Advances in Intelli- gent Systems and Computing, pages 103-108, (ISBN 978-3-319-01567-5). Springer International Publishing, 2013.
  • Gloria Ines Alvarez, Enrique Bravo, Diego Luis Linares, Jheyson Vargas and Jairo Andres Velasco. Machine Learning Techniques Applied to the Cleavage Site Prediction Problem. In Lecture Notes in Artificial Intelligence (LNAI), 2013. 
  • Roberto Naranjo, Gloria Inés Alvarez. A classifier model for detecting pronunciation errors regarding the Nasa Yuwe language’s 32 vowels. Ingeniería e Investigación. Universidad Nacional de Colombia. Vol 32. No. 2. ISSN: 0120-5609. 2012.
  • Pedro García, Damián López, José Ruiz, Gloria I. Alvarez. From regular expressions to smaller NFAs. Theoretical Computer Science. Vol 412. p 5802-5807. 2011.
  • Gloria I. Alvarez, Jorge Hernán Victoria, Enrique Bravo, Pedro García. HyRPNI Algorithm and an Application to Bioinformatics. Revista de Ingeniería, Universidad de los Andes. Vol 33. p 44-52. 2011.
  • Pedro García, Manuel Vazquez de Parga, Gloria Inés Alvarez, José Ruiz. Learning Regular Languages Using Nondeterministic Finite Automata. Lecture Notes in Computer Science 5148. pp 92-101. 2008
  • Pedro García, Manuel Vazquez de Parga, Gloria Inés Alvarez, José Ruiz. Universal Automata and NFA Learning. Theoretical Computer Science. Vol 407. N. 1-3. Ed. Elsevier. 2008.
  • Antonio Cano, Gloria Inés Alvarez. Learning Commutative Regular Languages. Lecture Notes in Artificial Intelligence. Vol 5278. p 71-83. 2008.