SNII Level: 2
Education:
PhD in Artificial Intelligence
Projects:
- NMP-AI: Building an agile, high-impact artificial intelligence team for digital transformation.
- SmartTec: Data & Machine Intelligence for Smart Cities.
- SMIEAE: Intelligent Stress and Anxiety Monitoring System for Students.
- Predictive Models for service-oriented IT enterprises.
- Advanced sensor development for attention, stress, vigilance, and sleep/wakefulness monitoring.
- Ambient intelligence system of agents for knowledge-based and integrated services for mobility-impaired users.
Research Interests:
- Machine Learning,
- Deep Learning,
- GenAI,
- Computer Vision & image processing,
- Medical imaging,
- Risk Analysis.
Thesis:
- Enhanced Medical Image Explainability through Prototypical-Parts Learning.
- Video-Based Human Action Recognition. Leveraging Knowledge Distillation for Improved Training Efficiency and Flexibility.
- A Comprehensive Study into Digital Human Faces. Emphatic Perception using an Improved Machine Vision Model for Facial Tracking using a Facial Action Code System.
- Closing the Gap on Affordable Real-Time Very Low Resolution Face Recognition for Automated Video Surveillance.
- Deep Learning System for Vehicular Re-Routing and Congestion Avoidance.
- Interactive Recipe Suggestions for Diet and Allergen Management: Utilizing LLaMA with HEI and DQI for Healthier Eating.
- Exploring Anchor-Free Object Detection for Surgical Tool Detection in Laparoscopic Videos: A Comparative Study of CenterNet++ and Anchor-Based Models.
Publications:
- A Dataset of University Students' Stress and Anxiety Levels based on Questionnaires and Wearable Sensors. Garcia-Ceja, Enrique; Alvarado-Uribe, Joanna; Escamilla-Ambrosio, Ponciano Jorge; Lara, Adriana; Mena Martinez, Alma; Gallegos-Garcia, Gina; Gonzalez-Mendoza, Miguel; Monroy, Raul; Martinez Luna, Gilberto; Fernández-Cárdenas, Juan Manuel.  Scientific Data; London Volume 13, No. 1, (2026): 732. DOI:10.1038/s41597-026-07085-7
- Herrera, D., Ochoa-Ruiz, G., Stephan-Otto, C. et al. Magnetic resonance image enhancement and segmentation using conventional and deep learning denoising techniques for dynamic cerebral angiography. Health Inf Sci Syst 14, 9 (2026). https://doi.org/10.1007/s13755-025-00406-x
- Morales-Tiburcio, L., González-Mendoza, M., Ochoa-Ruiz, G., Ceballos, H.G. (2026). Advancing Responsible AI: An Analysis of Guidelines, Regulations, and Standards for Trustworthy and Responsible AI. In: López-Castro, D., Cebral-Loureda, M., Jiménez-Schlegl, P. (eds) Regulating Autonomy. Law, Governance and Technology Series, vol 81. Springer, Cham. https://doi.org/10.1007/978-3-032-13063-1_19.
- ""Elisabetta Crescio, Miguel Gonzalez-Mendoza. Enhancing Scientific Literacy with an AI Powered Virtual Assistant: A Study Case.International Journal of Information and Education Technology, Vol. 15, No. 11, 2025. doi: 10.18178/ijiet.2025.15.11.2428 2328""
- R. Tariq, D. G. Vargas, F. Ali, M. Gonzalez-Mendoza and C. S. Torres-Castillo, ""What Determines Student Employability? Educational Data Mining Through Machine and Deep Learning Approach,"" in IEEE Revista Iberoamericana de Tecnologias del Learning, vol. 20, pp. 271-289, 2025, doi: 10.1109/RITA.2025.3612280.
- Flores-Araiza D, Lopez-Tiro F, Larose C, Hinojosa S, Mendez-Vazquez A, Gonzalez-Mendoza M, Ochoa-Ruiz G, Daul C. Improving prototypical parts abstraction for case-based reasoning explanations designed for the kidney stone type recognition. Artif Intell Med. 2025 Dec;170:103266. doi: 10.1016/j.artmed.2025.103266.
- Vilchis, C., Mendez-Ruiz, M., Perez-Guerrero, C. et al. Action unit intensity regression for facial MoCap aimed towards digital humans. Multimed Tools Appl 84, 11775-11794 (2025). https://doi.org/10.1007/s11042-024-19400-8
- Jimenez Cruz, R., Yáñez Márquez, C., Villuendas Rey, Y., Gonzalez-Mendoza, M., & Monroy, R. Spherical Model for Minimalist Machine Learning Paradigm in Handling Complex Databases. Frontiers in Artificial Intelligence, 8, 1521063.
- ""On the In Vivo Recognition of Kidney Stones Using Machine Learning (vol 12, pg 10736, 2024) F Lopez-Tiro, V Estrade, J Hubert, D Flores-Araiza, M Gonzalez-Mendoza, ...
- IEEE ACCESS 13, 53964-53964""
""N. Nieto et al., """"Evaluating Medical Translation Quality Using Neural Machine Translation Models: A CUI-Based Approach via Concept Embeddings from UMLS Data,"""" 2025 7th International Conference on Natural Language Processing (ICNLP), Guangzhou, China, 2025, pp. 53-57, doi: 10.1109/ICNLP65360.2025.11108351.