Perfil de

Juana Julieta Noguez Monroy

Nombre:Juana Julieta Noguez Monroy
Género: Femenino
Email:[email protected]
Institución/Empresa: Tecnologico de Monterrey
 

Biografía.

Julieta Noguez, es profesora-investigadora jubilada del Tecnológico de Monterrey. Fue co-líder del grupo de investigación Inteligencia Artificial Avanzada. Fue responsable del Laboratorio de Ciberaprendizaje y Ciencias de Datos. Pertenece al Sistema Nacional de Investigadores de México (SNI nivel II), a la Sociedad de Computación del IEEE, a la Sociedad de Educación del IEEE, a la Sociedad Mexicana de Inteligencia Artificial y a la Academia Mexicana de Computación. Ha publicado más de 150 artículos de investigación en revistas y congresos internacionales. Ha dirigido 13 tesis doctorales y 15 tesis de maestría.

Publicaciones.

Más recientes.

 

  1. 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.

  2. 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.

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

  4. 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.

  5. 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.

  6. 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.

  7. 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.

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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. 

  13. 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) 

  14. 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

  15.  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

  16. 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)

  17. 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

  18. 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

  19. 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

  20. 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

  21. 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 

  22. 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.

  23. 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 

  24. 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

  25. 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

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