(† indicates equal contribution)
(Journal Articles)

• Mandujano-Granillo, J.A., Candela-Leal, M.O., Ortiz-Vazquez, J.J., Ramírez-Moreno, M.A., … Lozoya-Santos, J.J. (2024). Human-Vehicle Interfaces: A Review for Autonomous Electric Vehicles. IEEE Access, 12, 121635–121658
• Blanco-Ríos, M.A.†, Candela-Leal, M.O.†, Orozco-Romo, C., … Ramírez-Moreno, M.A. (2024). Real-time EEG-based Emotion Recognition for Neurohumanities: Perspectives from Principal Component Analysis and Tree-based Algorithms. Frontiers in Human Neuroscience, 18, 1319574. PubMed PMID:38545515
• Candela-Leal, M.O., Gutiérrez-Flores, E.A., Presbítero-Espinosa, G., … Ramírez-Moreno, M.A. (2022). Multi-Output Sequential Deep Learning Model for Athlete Force Prediction on a Treadmill Using 3D Markers. Applied Sciences, 12(11), 5424
• Ramírez-Moreno, M.A., Carrillo-Tijerina, P., Candela-Leal, M.O., … Lozoya-Santos, J.J. (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. PubMed PMID:34831645

(Book Chapters)

• Lozoya-Santos, J.J., Ramírez-Moreno, M.A., Candela-Leal, M.O., … Ramirez-Mendoza, R.A. (2022). Current and Future Biometrics: Technology and Applications. In R.A. Ramirez-Mendoza, J.J. Lozoya-Santos, R. Zavala-Yoé, … H.G. Gonzalez-Hernandez (Eds.), Biometry: Technology, Trends and Applications (1st ed., pp. 1-30). Boca Raton, FL: CRC Press. ISBN: 9781003145240

(Conference Proceedings)

• Candela-Leal, M.O., Ramírez-Moreno, M.A., & Lozoya-Santos J.J. (accepted). Estimating Task Completion Time during Chess Problem-Solving using Single-Channel EEG. In IEEE-EMBS BHI. Houston, TX: IEEE
• Candela-Leal, M.O., Aguilar-Herrera, A.J., Ramírez-Moreno, M.A., … Lozoya-Santos, J.J. (2024). Conscious Technologies Projects as a Hub for Real Life Challenges in Engineering Education. In 15^th EDUCON. Kos, Greece: IEEE
• Candela-Leal, M.O., Martínez-Díaz, D., Orozco-Romo, C., … Ramírez-Moreno, M.A. (2023). Biomechanics Digital Twin: Markerless Joint Acceleration Prediction Using Machine Learning and Computer Vision. In 3^rd FEI-WS (pp. 142-150). Monterrey, Mexico: IEEE
• Candela-Leal, M.O., García-Briones, J.M., Olivas-Martínez, G., … Lozoya-Santos, J.J. (2021). Real-time Biofeedback System for Interactive Learning using Wearables and IoT. In 6^th NA-IEOM (pp. 2959-2970). Monterrey, Mexico: IEOM (best undergraduate paper award)
• Olivas-Martínez, G., Candela-Leal, M.O., Ocampo-Alvarado, J.C., … Ramírez-Moreno, M.A. (2021). Detecting Change in Engineering Interest in Children through Machine Learning using Biometric Signals. In 1^st FEI-WS (pp. 33-40). Monterrey, Mexico: IEEE
• Aguilar-Herrera, A.J., Delgado-Jimenez, E.A., Candela-Leal, M.O., … Ramirez-Mendoza, R.A. (2021). Advanced Learner Assistance System's (ALAS) recent results. In 1^st FEI-WS (pp. 26-33). Monterrey, Mexico: IEEE

Under review

• Candela-Leal M.O., Alanis-Espinosa, M., Murrieta-González, J., Lozoya-Santos, J.J., & Ramírez-Moreno M.A. (under review). Neurocognitive Insights into STEM Learning: An Integrated Analysis of Bandpower and Functional Connectivity among Youth. SAGE Open
• Ramírez-Moreno, M.A., Hernández-Mustieles, M.A., Candela-Leal, M.O., Tudon-Martinez, J.C., & Lozoya-Santos, J.J. (under review). Workplace measures of mental fatigue. In The Scientific Basis of Fatigue. Academic Press-Elsevier

(Invited Talks)

• Candela-Leal, M.O., & Valdivia-Padilla, A. (2024, August). Digital Twins in Education: Enhancing Student Well-being and Academic Performance with Biometric Insights and Machine Learning. U21 Health Sciences Group 2024 Annual Meeting, Amsterdam University Medical Centers, Amsterdam, Netherlands. (Theme: Data Driven Health Care and Teaching) (student speaker award) [certificate]
• Candela-Leal, M.O. (2023, April). Computer Vision and Facial Recognition. Presented to Senior Undergraduate Computer Science Students at Computing Seminar Course, Universidad Autónoma de Nuevo León, Monterrey, Mexico [certificate]

(International Conference Presentations)

• Candela-Leal, M.O., Lozoya-Santos, J.J., & Ramírez-Moreno, M.A. (2023, October). Real-time Dual-feature Mental Fatigue State SVM Classification using EEG Delta Bandpower. Poster presentation at the 19^th IEEE-EMBS BSN, Boston, MA
• Alvarez-Espinoza, G.J, Candela-Leal, M.O., Abrego-Ramos, R., Olivas-Martínez, G., … Lozoya-Santos, J.J. (2021, October). ALAS: Advanced Learner Assistance System for Engineering Education using Wearable Sensors. Poster presentation at the 43^rd IEEE-EMBS (p. 5101). https://embc.embs.org/2021
• Olivas-Martinez, G., Acosta-Soto, L., Ocampo-Alvarado, J., Candela-Leal, M.O., … Lozoya-Santos, J.J. (2021, October). Identifying Engineering Interest in Children through Machine Learning using Biometric Signals. Poster presentation at the 43^rd IEEE-EMBS (p. 5244). https://embc.embs.org/2021

(Conference Presentations)

• Oral Presentations, 27th International Conference on MICCAI (Marrakesh, Morocco, 2024), FNNDSC Research Symposium (Boston, MA, 2024), Conscious Technologies for Smart Communities Workshop (Virtual, 2021), 51th Research and Development Congress (Virtual, 2021)
• Poster Presentations, SACNAS NDiSTEM International Conference (Phoenix, AZ, 2024), 19th IEEE-EMBS International Conference on BSN (Boston, MA, 2023), NSF BRAIN Summer Annual IAB Meeting (Phoenix, AZ, 2023), 21st Expo Ingenierías at Conexión Tec (Monterrey, Mexico, 2023), BMEX: Engineering and Health Sciences Symposium (Monterrey, Mexico, 2023), 19th & 20th Expo Ingenierías at Conexión Tec (Monterrey, Mexico, 2022), NSF BRAIN Summer Annual IAB Meeting (Houston, TX, 2022), 17th & 18th Expo Ingenierías at Conexión Tec (Virtual, 2021), 43rd Annual International Conference of the IEEE-EMBS (Virtual, 2021)

(Other)