Resumen curricular:

Alejandro Guerrero Emails: edgar.guerrero@academicos.udg.mx, guae@cimat.mx Cell (Overseas): 011 52 1 473 103 7009 Professional Experience ➢ 2018 to date, Associate Professor, Mathematics Department, CUCEI, University of Guadalajara, Guadalajara, Jal, Mexico. ➢ 2016 - 2017, Software Engineer, TRACSA S.A.P.I. de C.V, Tlaquepaque, Jal, Mexico. ➢ 2012 - 2017, Assistant Professor, Analysis of Algorithms, Mathematics Department, University of Guanajuato, Guanajuato, Gto, Mexico. ➢ 2012 - 2015, Assistant Professor, Numerical Methods, Mathematics Department, University of Guanajuato, Guanajuato, Gto, Mexico. ➢ 2014, Assistant Professor, Applied Informatics, Mathematics Department, University of Guanajuato, Guanajuato, Gto, Mexico. ➢ 2009, Assistant Professor, Spanish I and II, Modern Languages Department, University of Saint Francis Xavier, Antigonish, Nova Scotia, Canada. Education ➢ 2012 - 2016, Ph.D. in Computer Science, Center for Research in Mathematics (CIMAT), Guanajuato, Gto, Mexico. ➢ 2010 - 2012, M.Sc. in Computational and Mathematical Science, Center for Research in Mathematics (CIMAT), Guanajuato, Gto, Mexico. ➢ 2005 - 2010, B.S. in Computer Science, University of Guanajuato, Guanajuato, Gto, Mexico. Relevant Publications ✔ Dávila Rodríguez, I.A., Palafox González, A., Guerrero Arroyo, E.A. et al. Three-Dimensional Inversion of Magnetic Anomalies Using a Low-Level Representation and an Evolution Strategy for Archaeological Studies. Math Geosci (2023). https://doi.org/10.1007/s11004-023-10090-w. ✔ Roman Zúñiga Macías, Humberto Gutiérrez-Pulido, Edgar Alejandro Guerrero Arroyo, Abel Palafox González. Geographical network model for COVID-19 spread among dynamic epidemic regions. Mathematical Biosciences and Engineering, 2022, 19(4): 4237-4259. doi: 10.3934/mbe.2022196. ✔ Alejandro Guerrero, Miguel Angel Moreles, On the numerical solution of the eigenvalue problem in fractional quantum mechanics, Communications in Nonlinear Science and Numerical Simulation, Volume 20, Issue 2, 2015, Pages 604-613, ISSN 1007-5704, https://doi.org/10.1016/j.cnsns.2014.06.013. Relevant Certifications ➢ 2023, Google Project Management Specialization, Google & Coursera, Credential ID: TLA5TTX8HQSY ➢ 2022, Deep Learning Specialization, DeepLearning.AI & Coursera, Credential ID: HX394DF2YXEE ➢ 2022, Google Data Analytics Specialization, Google & Coursera, Credential ID: 9BNCK5UBKYBN Courses Regularly Taught Undergraduate - Programming for Science - Evolutionary Algorithms - Machine Learning Graduate - Neural Networks - Statistical Pattern Recognition - Numerical Optimization Projects 2022 - 2024, “Modeling and forecasting of physics phenomena by artificial neural networks”, CADS. 2022 - 2023, “Topology optimization in artificial neural networks”, CADS. 2018 - 2019, “Numerical modelling for differential equations and applications”, PRODEP. Talks Given ➢ 2023, “The impulse of using Spiking Neural Networks”, 56th Congress of the Mexican Mathematical Society, SLP, Mexico. ➢ 2020, “Interpretation of magnetic data in the archaeological zone of Ocomo by a quantitative structural method”, RAUGM, Mexico. ➢ 2018, “A neural network approach in the diagnosis of patients with depression”, 33rd FNE and 13th CLATSE, Guadalajara, Jal. Mexico. ➢ 2018, “Derivative order estimation for nonlinear fractional differential equations”, Workshop of mathematical modelling and inverse problems, Guadalajara, Jal. Mexico.