Publications (18)

(* indicates equal contribution)
(Journal Articles)

• Gondova A, Zhang J, ..., Candela-Leal MO, et al. (2026). Typical Development of the Human Fetal Subplate: Regional Heterogeneity, Growth, and Asymmetry Assessed by in vivo T2-weighted MRI. PNAS
• Candela-Leal MO, Alanis-Espinosa M, Murrieta-Gonzalez J, et al. (2025). Neural Signatures of STEM Learning and Interest in Youth. Acta Psychologica, 255, 104949. PMID:40168892
• Blanco-Rios MA*, Candela-Leal MO*, Orozco-Romo C, et al. (2024). Real-time EEG-based Emotion Recognition for Neurohumanities: Perspectives from Principal Component Analysis and Tree-based Algorithms. Frontiers in Human Neuroscience, 18, 1319574. PMID:38545515 (editor's choice, 2024)
• Candela-Leal MO, Gutierrez-Flores EA, Presbitero-Espinosa G, et al. (2022). Multi-Output Sequential Deep Learning Model for Athlete Force Prediction on a Treadmill Using 3D Markers. Applied Sciences, 12(11), 5424
• Ramírez-Moreno MA, Carrillo-Tijerina P, Candela-Leal MO, et al. (2021). Evaluation of a Fast Test Based on Biometric Signals to Assess Mental Fatigue at the Workplace—A Pilot Study. International Journal of Environmental Research and Public Health, 18(22), 11891. PMID:34831645

(Review Articles & Book Chapters)

• Candela-Leal MO, Lozoya-Santos JJ, Zavala-Yoe R, et al. (2026). Biometric Assessment of Mental Fatigue, Interest, and Anxiety in Workplace Contexts. In C.M. Travieso-Gonzalez (Ed.), Biometrics - Emerging Technologies and Revolutionary Applications. London, United Kingdom: IntechOpen. ISBN: 9781836347521
• Ramírez-Moreno MA, Hernández-Mustieles MA, Candela-Leal MO, et al. (2026). Workplace Measures of Mental Fatigue. In C.R. Martin, V.R. Preedy, V.B. Patel, et al. (Eds.), The Scientific Basis of Fatigue (1st ed., pp. 209-218). London, United Kingdom: Academic Press. ISBN: 9780443240805
• Mandujano-Granillo JA, Candela-Leal MO, Ortiz-Vazquez JJ, et al. (2024). Human-Vehicle Interfaces: A Review for Autonomous Electric Vehicles. IEEE Access, 12, 121635–121658
• Lozoya-Santos JJ, Ramírez-Moreno MA, ..., Candela-Leal MO, et al. (2022). Current and Future Biometrics: Technology and Applications. In RA Ramirez-Mendoza, JJ Lozoya-Santos, R Zavala-Yoé, et al. (Eds.), Biometry: Technology, Trends and Applications (1st ed., pp. 1-30). Boca Raton, FL: CRC Press. ISBN: 9781003145240

(Conference Proceedings)

• Candela MO, Wong-Cantú CG, Velez-Saboya CS, et al. (2026). Toward Emotionally Adaptive Learning Spaces: Brain–Body Engagement in Immersive Dance Improvisation. In Proceedings of the 17^th Global Engineering Education Conference (EDUCON). Cairo, Egypt: IEEE
• Candela-Leal MO, Marrufo-Franco LA, Ruiz-de-la-Fuente BH, et al. (2026). Closed-Loop Haptic Neurofeedback BCI for Real-Time Student Attention Regulation. In Proceedings of the 48^th Mexican Conference on Biomedical Engineering. Monterrey, Mexico: Springer
• Candela-Leal MO, Ramírez-Moreno MA, & Lozoya-Santos JJ (2025). Task Resolution Time Estimation through Cognitive Load: An EEG Study of Chess Players. In Proceedings of the 47^th Annual Meeting of the Cognitive Science Society (CogSci) (pp. 2827-2834). San Francisco, CA: eScholarship
• Arceo GA, Candela-Leal MO, Tudon-Martinez JC, et al. (2025). Innovative Spaces with Advanced Technologies such as Research Activity Simulators for Engineering Education. In Proceedings of the 16^th EDUCON. London, United Kingdom: IEEE
• Candela-Leal MO, Aguilar-Herrera AJ, Ramírez-Moreno MA, et al. (2024). Conscious Technologies Projects as a Hub for Real Life Challenges in Engineering Education. In Proceedings of the 15^th EDUCON (pp. 665-675). Kos, Greece: IEEE
• Candela-Leal MO, Martínez-Díaz D, Orozco-Romo C, et al. (2023). Biomechanics Digital Twin: Markerless Joint Acceleration Prediction Using Machine Learning and Computer Vision. In Proceedings of the Future of Educational Innovation-Workshop Series: Data in Action (pp. 142-150). Monterrey, Mexico: IEEE
• Candela-Leal MO, García-Briones JM, Olivas-Martínez G, et al. (2021). Real-time Biofeedback System for Interactive Learning using Wearables and IoT. In Proceedings of the 6^th International Conference on Industrial Engineering and Operations Management (pp. 2959-2970). Monterrey, Mexico: IEOM (best undergraduate paper award)
• Olivas-Martínez G, Candela-Leal MO, Ocampo-Alvarado JC, et al. (2021). Detecting Change in Engineering Interest in Children through Machine Learning using Biometric Signals. In Proceedings of the Machine Learning-Driven Digital Technologies for Educational Innovation Workshop (pp. 33-40). Monterrey, Mexico: IEEE
• Aguilar-Herrera AJ, Delgado-Jimenez EA, Candela-Leal MO, et al. (2021). Advanced Learner Assistance System's (ALAS) recent results. In Proceedings of the Machine Learning-Driven Digital Technologies for Educational Innovation Workshop (pp. 26-33). Monterrey, Mexico: IEEE