AGUIRRE LAM, MARCO ANTONIO
MATEMATICAS · Nivel 1
Desde 2021 es Jefe en Tecnológico Nacional de México/Instituto Tecnológico de Ciudad Madero
Ph.D. in Computer Science from the Tijuana Institute of Technology and is a full-time professor in the Department of Systems...
Ph.D. in Computer Science from the Tijuana Institute of Technology and is a full-time professor in the Department of Systems and Computing and in the Division of Graduate Studies and Research at the Technological Institute of Ciudad Madero (TecNM), Mexico. His research interests include artificial intelligence, natural language processing, machine learning and deep learning, and intelligent optimization, with interdisciplinary applications in the medical sciences and chemistry. His recent work focuses on measurement and fairness in multilingual language technologies. He currently heads the National Laboratory of Information Technologies (LaNTI), where he oversees the networking, high-performance computing, virtualization, and simulation infrastructure supporting research projects nationwide.
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 | MARCO ANTONIO AGUIRRE LAM |
|---|---|
| Área | INTERDISCIPLINARIA |
| Campo | MATEMATICAS |
| Disciplina | CIENCIA DE LOS ORDENADORES |
| Especialidad | INTELIGENCIA ARTIFICIAL |
| CVU | 210371 |
| Institución | |
|---|---|
| Dependencia | INSTITUTO TECNOLOGICO DE CIUDAD MADERO |
| Entidad | TAMAULIPAS |
| Nivel | 1 |
| Vigencia | Inicio: 01/01/2026 |
| Fin: 31/12/2030 |
Evolución en el SNII
- Candidato: 2016–2018
- Nivel I: 2026
Últimas publicaciones Scopus
- 2024
- Ethyl 4-((11-(Hexylamino)-11-oxoundecyl)oxy)benzoate Molbank · Vol. 2024 Note
- Learning Strategies of Intelligent Virtual Agents in Video Games: Exploring Types of Decision-Making Using DQN Studies in Computational Intelligence · Vol. 1171 Book Chapter
- Multi-objective Evolutionary Algorithm Based on Decomposition to Solve the Bi-objective Internet Shopping Optimization Problem (MOEA/D-BIShOP) Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics · Vol. 14502 LNAI Conference Paper
- Experimental Design Method to Finetune Cooperative Coevolutionary Algorithms Solving Multiobjective Problems Studies in Computational Intelligence · Vol. 1149 Book Chapter
- Analysis of Architectures for Green Mobile App on Urban Reforestation Applications in Software Engineering Proceedings of the 13th International Conference on Software Process Improvement Cimps 2024 Conference Paper
