Dr. Dora Elisa Alvarado-Carrillo holds a Ph.D. in Computer Science from the Center for Research in Mathematics (CIMAT), Mexico (2018–2022). She currently serves as a Professor in the Department of Engineering at Universidad Iberoamericana León, a Researcher and Virtual Advisor at Universidad Virtual del Estado de Guanajuato (UVEG), and also teaches at Universidad Nacional Autónoma de México (UNAM). Her research focuses on computer vision and medical image analysis, particularly retinal imaging, coronary angiography, and neural network explainability. Her notable publications include "Width Attention based Convolutional Neural Network for Retinal Vessel Segmentation" (Expert Systems with Applications, 2022), "Robust Detection and Modeling of the Major Temporal Arcade in Retinal Fundus Images" (Mathematics, 2022), and "LCAM-Net: Local Context Attention Network for Diabetic Retinopathy Severity Classification" (MCPR, 2024). She is a member of Mexico's National System of Researchers (SNII) and also brings industry experience in data analysis and software development.