Full-Time PhD Student at CINVESTAV IPN Unidad Guadalajara. Active member of the Distributed & Multi-Agents Systems group since 2023, in the area of Bio-Inspired Cognitive Architectures.
Research interests aims to: Smart and Embedded systems, General Artificial Intelligence, Networks, Programming, Distributed Systems and Discrete Maths.
A multimodal processing computational model for uncertainty reduction based on cognitive sciences
My current research focuses on the study and development of algorithms based on multimodal interactions for solving uncertainty reduction problems.
The human brain possesses various structures capable of linking stimuli based on temporal and spatial coincidences. This allows it to compensate for information deficits in situations where stimuli are weak or ineffective.
This work is based on the principle of temporal proximity, for which it proposes a graph-based structure that allows for the generation of relationships between the internal representations of stimuli or states. These relationships are of the antecedent-consequence type, making it possible to estimate states both forward and backward in time.
- Networks and Telecommunications Engineer (2021), Universidad Politécnica de Juventino Rosas (UPJR). Juventino Rosas, Guanajuato, México.
- Master in Sciences (2024), Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional Unidad Guadalajara (CINVESTAV IPN Unidad Guadalajara). Zapopan, Jalisco, México.