Perfil de

Juana Julieta Noguez Monroy

Nombre:Juana Julieta Noguez Monroy
Género: Femenino
Email:[email protected]
Institución/Empresa: UNAM
Inst. último grado : Instituto Tecnológico y de Estudios Superiores de Monterrey
 

Biografía.

J. Julieta Noguez Monroy es profesora de asignatura del Departamento de Computación, de la Facultad de Ingeniería de la UNAM. Fue profesora-investigadora en el Departamento de Computación del Tecnológico de Monterrey, Campus Ciudad de México (1995-2024). Es ingeniería en Comunicaciones y Electrónica (1982) por el Instituto Politécnico Nacional. Recibió el grado de maestría (1998) y del Doctorado (2006) en Ciencias de la Computación por el Tecnológico de Monterrey. Fue co-líder del grupo de investigación en Inteligencia Artificial Avanzada (2021-2024). Fue responsable del laboratorio de CyberLearning & Data Sciences del Tecnológico de Monterrey (2015 - 2024). Sus líneas de investigación son: a) Sistemas inteligentes y tecnologías computacionales en educación y b) Inteligencia Artificial y Ciencia de Datos aplicadas a Salud y a diversas disciplinas. Pertenece al Sistema Nacional de Investigadores de México (SNI nivel II), Academia Mexicana de Computación (AmexComp), Sociedad Mexicana de Inteligencia Artificial (SMIA), a la Sociedad de Computación del IEEE, a la Sociedad de Educación del IEEE. Ha dirigido 14 tesis doctorales y 15 tesis de maestría. Ha publicado más de 150 artículos de investigación en revistas y congresos internacionales. Fue editora asociada de la revista Transaction on Learning Technology de la IEEE de 2019 a 2022. Participa como columnista de la revista de divulgación Komputr Sapiens de la SMIA desde 2014. Ha recibido ocho premios de Innovación Educativa por parte del Tecnológico de Monterrey. En 2018 recibió en colaboración con profesores del proyecto “Open Innovation Laboratory for Rapid Realization of Sensing, Smart and Sustainable Products” tres premios: Latin America Award (Gold Winner), Engineering and IT Award (Gold Winner) and Hybrid Learning Award (Silver Winner) del concurso Reimagine Education Awards 2018 (http://www.reimagine-education.com/), que organiza la rankeadora QS Stars.

 

Publicaciones.

Más recientes.
  • Gonzalez-Gomez, L. J., Hernandez-Munoz, S. M., Borja, A., Arana-Salas, F. A., Azofeifa, J. D., Noguez, J., & Caratozzolo, P. (2025). Dynamic Taxonomy Generation for Future Skills Identification using a Named Entity Recognition and Relation Extraction Pipeline. Frontiers in Artificial Intelligence, 8, 1579998. https://doi.org/10.3389/frai.2025.1579998
  • Noguez J., Ortega Gutiérrez E., Neri L., Rubio J.E. (2025). Acquisition of transversal competencies through a project-based learning model for computer systems engineering students. Frontiers in Education. Electronic ISSN: 2504-284X.  10:1541117. doi: 10.3389/feduc.2025.1541117   
  • Robledo-Rella V., Neri L.*, García-Castelán R. M. G., Gonzalez-Nucamendi A., A. Valverde-Rebaza A., and Noguez J. (2025). “A comparative study of a new challenge-based learning model for engineering majors”. Frontiers in Education. ISSN: 2504-284X Volume 10. 2025. doi: 10.3389/feduc.2025.1545071   
  • Gonzalez Santacruz, E., Romero, D., Noguez, J. and Wuest, T. (2025), "Integrated quality 4.0 framework for quality improvement based on Six Sigma and machine learning techniques towards zero-defect manufacturing", The TQM Journal, Vol. 37 No. 4, pp. 1115-1155. https://doi.org/10.1108/TQM-11-2023-0361
  • Valverde-Rebaza J, Rodrigues de Góes F, Noguez J and Da Silva NC (2025) Skill-based employment taxonomy in the global IT industry 5.0. Frontiers in Education. ISSN: 2504-284X 10:1418184. doi: 10.3389/feduc.2025.1418184
  • Azofeifa J.D., Rueda-Castro V., Gonzalez-Gomez L. J., Noguez J., and Caratozzolo P. (2024) " Revolutionizing Training in Continuing Engineering Education: An Experimental Proposal Using the Multi-Sensory Virtual Decision-Making Center," in IEEE Access, ISSN : 2169-3536, vol. 12, pp. 192440- 192448, 2024, doi: 10.1109/ACCESS.2024.3465409
  • Cal Y. Mayor-Peña, F., Barrera-Animas, A. Y., Escobar-Castillejos, D., Noguez, J., Escobar-Castillejos, D. (2024). “Designing a gamified approach for digital design education aligned with Education 4.0”. Frontiers in Education. ISSN: 2504-284X Volume 9. 2024. DOI: 10.3389/feduc.2024.1439879
  • Escobar-Castillejos, D., Sigüenza-Noriega, I., Noguez, J., Escobar-Castillejos, D., Berumen-Glinz, L.A. (2024). “Enhancing methods engineering education with a digital platform: usability and educational impact on industrial engineering students”. Frontiers in Education. ISSN: 2504-284X Volume 9. 2024. DOI: 10.3389/feduc.2024.1438882
  • Gonzalez-Gomez L. J., Hernandez-Munoz S. M., Borja A., Azofeifa J.D., Noguez J., and Caratozzolo P. (2024) " Analyzing Natural Language Processing Techniques to Extract MeaningfulInformation on Skills Acquisition From Textual Content," in IEEE Access, ISSN : 2169-3536 , vol. 12, pp. 139742-139757, 2024, doi: 10.1109/ACCESS.2024.3465409

Valverde-Rebaza, J., Gonzalez, A., Navarro-Hinojosa, O., & Noguez, J. (2024). Advanced Large Language Models & Visualization Tools for Data Analytics Learning: An Empowering Approach for Fostering Competencies among Non-Computational Professionals and Students. In Frontiers in Education (Vol. 9, p. 1418006). Frontiers.

  1. Gonzalez Santacruz, E., Romero, D., Noguez, J., & Wuest, T. (2024). Integrated quality 4.0 framework for quality improvement based on Six Sigma and machine learning techniques towards zero-defect manufacturing. The TQM Journal.

  2. Peña, C., Romero, D., & Noguez, J. (2024). Parameterization techniques to support human learning curves forecasting & optimization: Review, method & proposed framework. Computers & Industrial Engineering, 110314.

  3. González-Mena, G., Lozada-Flores, O., Murrieta Caballero, D., Noguez, J., & Escobar-Castillejos, D. (2024). Improving engineering students’ understanding of classical physics through visuo-haptic simulations. Frontiers in Robotics and AI, 11, 1305615.

  4. Escobar-Castillejos, D., Barrera-Animas, A. Y., Lozada-Flores, O., & Noguez, J. (2024). Enhancing STEAM in Education 4.0: A Review of Data-Driven Technological Improvements. Data-Driven Innovation for Intelligent Technology: Perspectives and Applications in ICT, 39-65.

  5. Neri, L., Noguez, J., Escobar-Castillejos, D., Robledo-Rella, V., García-Castelán, R. M. G., Gonzalez-Nucamendi, A., ... & Benes, B. (2024). Enhancing Buoyant Force Learning Through a Visuo-Haptic Environment: A Case Study. Frontiers in Robotics and AI, 11, 1276027.

  6. Gonzalez-Gomez L. J., Orozco-Quintero S., Galindo-Rojas E., Noguez J., Caratozzolo P., (2023), Future skills in the Industry 4.0 study. A systematic review. International Journal of Multidisciplinary and Current Educational Research (Nov. 2023). ISSN: 2581-7027, Volume 5, Issue 6, 50-63.

  7. Sanchez-Escobar M.O., Noguez J., Molina-Espinosa J.M., Escobar-Castillejos D., Ruiz-Loza S. (2023). Policy Design for Electricity Efficiency: A Case Study of Bottom-Up Energy Modelling in the Residential Sector and Buildings. Energies. ISSN: 1996-1073. (JCR, FI=3.004, Scopus Q2). https://doi.org/10.3390/en16196765

  8. Gonzalez-Nucamendi A., Noguez J., Neri L., Robleda-Rella V.  García Castelan R.M. Escobar-Castillejos D.E. (2022). Learning Analytics to Determine Students’ Profile Dimensions Associated with their Academic Performance.Applied Sciences. ISSN 2076-3417. (JCR, FI= 2.47, Scopus Q2). https://doi.org/10.3390/app122010560

  9. Peña C., Romero D., Noguez J. (2022) Workforce Learning Curves for Human-Based Assembly Operations: A State-of-the-Art Review. Applied Sciences. ISSN 2076-3417 2022, 12, 9608. (JCR, FI= 2.47, Scopus Q2). https://doi.org/10.3390/app12199608

  10. Azofeifa J.D, Noguez J., Ruiz S, Molina-Espinosa J.M, Magana A. Benes B. (2022) Systematic Review of Multimodal Human-Computer Interaction. Informatics. MDPI.  2022, 9(1), 13. Electronic ISSN: 2227-9709. Q2 https://doi.org/10.3390/informatics9010013

  11. Barrón-Estrada L., Zatarain-Cabada R., Romero Polo J.A., Noguez J., (2022). Patrony: A Mobile Application for Pattern Recognition. 27, 1237–1260 (2022). https://doi.org/10.1007/s10639-021-10636-7. JCR 2.6,  Q1 de Scimago. Electronic ISSN 1573-7608 Print ISSN 1360-2357. 

  12. Fregoso-Aparicio L., Noguez J., Montesinos L., García-García J.A. (2021) Machine learning and deep learning predictive models for type 2 diabetes: A systematic review. BMC Diabetology & Metabolic Syndrome. 13, 148 (2021). https://doi.org/10.1186/s13098-021-00767-9 ISSN: 1758-5996 (JCR FI=3.32  Q2) 

  13. Sanchez-Escobar M.O., Noguez J., Molina-Espinosa J.M., Lozano-Espinosa R., Vargas-Solar G. (2021). The Contribution of Bottom-up Energy Models to support Policy Design of Electricity End-use Efficiency for Residential Buildings and the Residential Sector: A Systematic Review. Energies. ISSN: 1996-1073. (JCR, FI=3.004, Scopus Q2). https://doi.org/10.3390/en14206466

  14.  Noguez J., Neri L., Robleda-Rella V.  García Castelan R.M. Gonzalez-Nucamendi A. Escobar-Castillejos D.E., Molina A.(2021) VIS-HAPT: A Methodology Proposal to Develop Visuo-haptic Environments in Education 4.0. Future Internet. ISSN: 1999-5903 (Q2) doi: https://doi.org/10.3390/fi13100255

  15. Sanchez-Escobar M. O., Noguez J., Molina-Espinosa J. M., Lozano-Espinosa R. (2021). Supporting the Management of Predictive Analytics Projects in a Decision-Making Center using Process Mining. Advances in Science, Technology and Engineering Systems Journal. Volume 6, Issue 2, Pp. 1084-1090. ISSN: 2415-6698.  DOI: 10.25046/aj0602123 (Scopus Q3)

  16. Miranda J., Navarrete Ch., Noguez J., Molina-Espinosa J.M, Ramírez-Montoya M.S, Navarro-Tuch S.A., Bustamante-Bello M.R, Rosas-Fernández J.B., Molina A. (2021).  The Core Components of Education 4.0 in Higher Education: Three Case Studies in Engineering Education. Computers and Electrical Engineering. Special Issue VSI-tei. Vol 93 107278  ISSN: 0045-7906. JCR, FI=2.663 Q2. DOI:https://doi.org/10.1016/j.compeleceng.2021.107278

  17. Gonzalez-Nucamendi A., Noguez J., Neri L., Robleda-Rella V. García Castelan R.M. Escobar-Castillejos D.E. (2021). The Prediction of Academic Performance using Engineering Student’s Profiles. Computers and Electrical Engineering. Special Issue VSI-tei. ISSN: 0045-7906. JCR, FI=2.663 Q2. https://doi.org/10.1016/j.compeleceng.2021.107288

  18. Escobar-Castillejos D., Noguez J., Bello F., Neri L., Magana A., Benes B. (2020) “A Review of Training and Guidance Systems in Medical Surgery”.  Applied Sciences. ISSN 2076-3417. Special Issue Haptics: Technology and Applications. (JCR=2.474y Q1). https://doi.org/10.3390/app10175752

  19. Neri L., Robledo-Rella V., García-Castelán RMG, Gonzalez-Nucamendi A., Escobar-Castillejos D., and NoguezJ,∗ (2020) Visuo-haptic simulations to understand the dependence of electric forces on distance. Applied Sciences. ISSN 2076-3417. Special Issue. Haptics: Technology and Applications. (JCR=2.474y Q2). Vol 10, 7190, https://doi:10.3390/app10207190

  20. Escobar-Castillejos D., Noguez J., Cárdenas-Ovando R.A., Neri L., Gonzalez-Nucamendi A., and Robledo-Rella V. (2020) Using Game Engines for Visuo-Haptic Learning Simulations. Applied Sciences 10(13), 4553; MDPI; https://doi.org/10.3390/app10134553. ISSN 2076-3417. Special Issue Haptics: Technology and Applications. JCR (FI= 2.474), Q1 

  21. Noguez J. Neri L. (2019) "Research-Based Learning: A case study for engineering students". International Journal on Interactive Design and Manufacturing.Q2. ISSN: 19552513. Springer. 2 May 2019. Q2.  https://doi.org/10.1007/s12008-019-00570-x.

  22. Cardenas-Ovando R., Fernandez-Figueroa E., Rueda-Zarate H., Noguez J., Rangel-Escareño C. (2019). “A feature selection strategy for gene expression time series experiments with hidden Markov models”. PLOS ONE JCR, Q1. ISSN: 1932-6203. https://doi.org/10.1371/journal.pone.0223183 

  23. Neri L., Noguez J., Robledo-Rella V., Escobar-Castillejos D., González-Nucamendi A., (2018) Teaching of Classical Mechanics Concepts using Visuo-haptic simulators. Journal of Educational Technology & Society (JCR y Q1). (Publicada). ISSN: 1436-4522 (Online) ISSN: 1176-3647 (Print) DOI: https://www.j-ets.net/ETS/journals/21_2/7.pdf

  24. Ricardez E, Noguez J., Neri L., Escobar-Castillejos, Munoz-Gomez L.  (2018) SutureHap: Use of a Physics Engine to Enable Force Feedback Generation on Deformable Surfaces Simulations. International Journal of Advanced Robotic Systems. (JCR y Q3). ISSN: 17298814  Vol. 15 (1) Pp 1-16  https://doi.org/10.1177/1729881417753928

Ver lista completa de publicaciones