FAJARDO DELGADO, DANIEL
CIENCIAS TECNOLÓGICAS · Nivel 1
Desde 2004 es Professor en Tecnológico Nacional de México
Daniel Fajardo Delgado earned his D.Sc. and M.Sc. degrees in Computer Science from the Center for Scientific Research and Higher...
Daniel Fajardo Delgado earned his D.Sc. and M.Sc. degrees in Computer Science from the Center for Scientific Research and Higher Education of Ensenada (CICESE), Mexico, in 2011 and 2003, respectively. He also holds a Bachelor's degree in Computer Science from the Instituto Tecnológico de Ciudad Guzmán, obtained in 2001. Currently, he serves as a titular professor in the Department of Systems and Computation at TecNM / Ciudad Guzmán. His research interests encompass algorithm design, evolutionary computation, self-stabilizing distributed algorithms, and algorithmic game theory.
Dr. Fajardo has (co)authored over 40 peer-reviewed journal and conference papers and has been involved in over 16 funded research projects, leading eight of them. He heads the academic group "Scientific Computing and its Applications," recognized as consolidated by PRODEP. Moreover, since 2017, he has held the role of an external professor in the Doctoral Program in Information Technologies at the University of Guadalajara.
In his supervisory capacity, Dr. Fajardo has guided thesis projects for five undergraduate students, seven master's students, and one doctoral student. During his tenure at the Instituto Tecnológico de Tlajomulco from 2004 to 2014, he served as a full-time professor and held administrative positions, including deputy director of administrative services from 2012 to 2014, where he managed human, financial, and material resources.
Dr. Fajardo is recognized as a Level 1 member of the National System of Researchers by Conahcyt in Mexico. He has received academic awards such as the merit award for the 1996-2001 generation in the economic-administrative area of ITCG. Additionally, he participated as a fellow in the "Proyecta 100,000 Program Summer 2015" at Oklahoma State University and has been acknowledged as possessing a desirable PRODEP profile since 2016.
Índice de visibilidad digital v1.0 · Mide qué tan completo está el perfil, no la calidad académica. Escala: 0–39 incompleto · 40–79 intermedio · 80–100 completo. ¿Cómo se calcula? · ¿Te falta un dato? Avísanos
| Nombre | DANIEL FAJARDO DELGADO |
|---|---|
| Área | INGENIERÍAS Y DESARROLLO TECNOLÓGICO |
| Campo | CIENCIAS TECNOLÓGICAS |
| Disciplina | TECNOLOGÍA DE LOS ORDENADORES |
| Especialidad | SISTEMAS COMPUTACIONALES |
| CVU | 101301 |
| Institución | |
|---|---|
| Tipo de institución | Pública |
| Dependencia | INSTITUTO TECNOLOGICO DE CIUDAD GUZMAN |
| Entidad | JALISCO |
| Nivel | 1 |
| Vigencia | Inicio: 01/01/2026 |
| Fin: 31/12/2030 |
Evolución en el SNII
- Candidato: 2013–2017
- Nivel I: 2021–2026
Últimas publicaciones Scopus
- 2026
- Overview of MSLG-SPA at IberLEF 2026: Bidirectional Translation between Mexican Sign Language Glosses and Spanish Procesamiento Del Lenguaje Natural · Vol. 77 Article
- 2025
- Lightweight and Accurate Deep Learning for Strawberry Leaf Disease Recognition: An Interpretable Approach Agriengineering · Vol. 7 Article
- Readability Formulas for Elementary School Texts in Mexican Spanish Applied Sciences Switzerland · Vol. 15 Article
- MASCHEDULE. A multi-agent tool for scheduling problems[Formula presented] Software Impacts · Vol. 23 Article
- Problem Decomposition Strategies and Credit Distribution Mechanisms in Modular Genetic Programming for Supervised Learning IEEE Transactions on Evolutionary Computation · Vol. 29 Review