sq-Gustavo

Formación académica

El Dr. Gustavo Adolfo Alonso Silverio recibió el grado de Dr. en ciencias por parte de la Universidad de Perpignan Via Domitia (Francia) y del CINVESTAV-IPN por una doble co-titulación.

Recibió el grado de maestría en ciencias con especialidad en ingeniería eléctrica por parte del Departamento de Ingeniería Eléctrica del Centro de Investigación y Estudios Avanzados del Instituto Politécnico Nacional (CINVESTAV-IPN, México).

Actualmente su trabajo esta centrado en el desarrollo de dispositivos inteligentes con aplicación clínica para la detección temprana de enfermedades cronico-degenerativas, específicamente Artritis Reumatoide, Diabetes Mellitus y Diabetes Gestacional. Usando algoritmos de aprendizaje automático y arquitecturas computacionales dedicadas.

Distinciones

Miembro del Sistema Nacional de Investigadores (SNI) Nivel 1.

Reconocimiento a perfil deseable PRODEP, de 2013 a la fecha.

Miembro del Instituto de Ingenieros Eléctricos Electrónicos IEEE.

Publicaciones

De 2015 a la fecha

En JCR:

  • Pérez-Escamirosa, F., Alarcón-Paredes, A., Alonso-Silverio, G. A., Oropesa, I., Camacho-Nieto, O., Lorias-Espinoza, D., & Minor-Martínez, A. (2020). Objective classification of psychomotor laparoscopic skills of surgeons based on three different approaches. International journal of computer assisted radiology and surgery, 15(1), 27-40.
  • Alarcón-Paredes, A., Francisco-García, V., Guzmán-Guzmán, I. P., Cantillo-Negrete, J., Cuevas-Valencia, R. E., & Alonso-Silverio, G. A. (2019). An IoT-Based Non-Invasive Glucose Level Monitoring System Using Raspberry Pi. Applied Sciences, 9(15), 3046.
  • Ventura-Molina, E., Alarcón-Paredes, A., Aldape-Pérez, M., Yáñez-Márquez, C., & Adolfo Alonso, G. (2019). Gene selection for enhanced classification on microarray data using a weighted k-NN based algorithm. Intelligent Data Analysis, 23(1), 241-253.
  • Alonso-Silverio, G. A., Perez-Escamirosa, F., Bruno-Sanchez, R., Ortiz-Simon, J. L., Muñoz-Guerrero, R., Minor-Martinez, A., & Alarcón-Paredes, A. (2018). Development of a laparoscopic box trainer based on open source hardware and artificial intelligence for objective assessment of surgical psychomotor skills. Surgical innovation, 25(4), 380-388.
  • Alarcón-Paredes, A., Rebolledo-Nandi, Z., Guzmán-Guzmán, I. P., Yáñez-Márquez, C., & Alonso, G. A. (2018). A non-invasive glucose level estimation in a multi-sensing health care monitoring system. Technology and Health Care, 26(1), 203-208.
  • Guzman Guzman, I. P., Navarro-Zarza, J. E., Alonso-Silverio, G. A., Alarcon-Paredes, A., Jerez-Mayorga, D., & Parra-Rojas, I. (2018, June). THE RELATIONSHIP BETWEEN HAND PREHENSILE STRENGTH, CLINICAL ACTIVITY AND FUNCTIONAL CAPACITY IN PATIENTS WITH RHEUMATOID ARTHRITIS. In ANNALS OF THE RHEUMATIC DISEASES (Vol. 77, pp. 1350-1350). BRITISH MED ASSOC HOUSE, TAVISTOCK SQUARE, LONDON WC1H 9JR, ENGLAND: BMJ PUBLISHING GROUP.
  • Hayat, A., Rhouati, A., Mishra, R. K., Alonso, G. A., Nasir, M., Istamboulie, G., & Marty, J. L. (2016). An electrochemical sensor based on TiO2/activated carbon nanocomposite modified screen printed electrode and its performance for phenolic compounds detection in water samples. International Journal of Environmental Analytical Chemistry, 96(3), 237-246.
  • Dominguez, R. B., Alonso, G. A., Muñoz, R., Hayat, A., & Marty, J. L. (2015). Design of a novel magnetic particles based electrochemical biosensor for organophosphate insecticide detection in flow injection analysis. Sensors and Actuators B: Chemical, 208, 491-496.
  • Mishra, R. K., Alonso, G. A., Istamboulie, G., Bhand, S., & Marty, J. L. (2015). Automated flow based biosensor for quantification of binary organophosphates mixture in milk using artificial neural network. Sensors and Actuators B: Chemical, 208, 228-237.

Revistas CONACyT y Congresos internacionales:

  • Francisco-García, V., Guzmán-Guzmán, I. P., Salgado-Rivera, R., Alonso-Silverio, G. A., & Alarcón-Paredes, A. (2019, June). Non-invasive Glucose Level Estimation: A Comparison of Regression Models Using the MFCC as Feature Extractor. In Mexican Conference on Pattern Recognition (pp. 206-215). Springer, Cham.
  • Alarcón-Paredes, A., Contreras-Garibay, R., Alonso-Silverio, G. A., & Rodríguez-Peralta, E. (2018). Naïve Screw Nut Classifier Based on Hu's Moment Invariants and Minimum Distance. Polibits, 57, 75-80.
  • Alarcón-Paredes, A., Alonso, G. A., Cabrera, E., & Cuevas-Valencia, R. (2017, April). Simultaneous gene selection and weighting in nearest neighbor classifier for gene expression data. In International Conference on Bioinformatics and Biomedical Engineering (pp. 372-381). Springer, Cham.
  • Ríos-Julián, N., Alarcón-Paredes, A., Alonso, G. A., Hernández-Rosales, D., & Guzmán-Guzmán, I. P. (2017, March). Feasibility of a screening tool for obesity diagnosis in Mexican children from a vulnerable community of Me'Phaa ethnicity in the State of Guerrero, Mexico. In 2017 Global Medical Engineering Physics Exchanges/Pan American Health Care Exchanges (GMEPE/PAHCE) (pp. 1-6). IEEE.
  • Hernández-Rosales, D. E., Alarcón-Paredes, A., Guzmán-Guzmán, I. P., Navarro-Zarza, J. E., & Alonso-Silverio, G. A. (2017, March). Computational system for early diagnostic of Rheumatoid Arthritis, using variables of process and artificial intelligence. In 2017 Global Medical Engineering Physics Exchanges/Pan American Health Care Exchanges (GMEPE/PAHCE) (pp. 1-1). IEEE.
  • Rebolledo-Nandi, Z., Chavez-Olivera, A., Cuevas-Valencia, R. E., Alarcon-Paredes, A., & Alonso, G. A. (2015, March). Design of a versatile low cost mobile health care monitoring system using an android application. In 2015 Pan American Health Care Exchanges (PAHCE) (pp. 1-4). IEEE.