photo_Luis
Luis Alejandro Vivas Colmenares
ETSETB-UPC
Master Student
photo_Luis
Luis Alejandro Vivas Colmenares
ETSETB-UPC
Master Student
Master’s degree student specializing in Deep Learning for Multimedia Processing. I am currently conducting research on the applications of Graph Neural Networks (GNNs) and relational databases, focusing on identifying optimal methods to represent relational data as graphs for subsequent processing with deep learning algorithms.
In 2023, I graduated as a Telecommunications Engineer from Universidad Católica Andrés Bello (Caracas, Venezuela), earning a Cum Laude distinction. After gaining professional experience in the industry, I decided to pivot toward Data Science and Machine Learning by pursuing a Master’s Degree in Advanced Telecommunications Technologies (following the specialization at Deep Learning for Multimedia Processing) at Universitat Politècnica de Catalunya.

I am thrilled to build foundational expertise in this fascinating field, particularly in Graph Theory and Graph Neural Networks (GNNs), an exciting research area with proven applications in solving complex real-world problems.
During my undergraduate studies, I completed a minor in Creative Writing at UCAB. This experience honed my critical thinking skills, enabling me to approach technical challenges not only through an engineering lens but also with attention to the human and philosophical dimensions inherent to AI development.
As both an engineer and musician, my goal is to merge these dual passions by exploring creative ways to apply cutting-edge technologies -such as AI and data science- to music, literature, and art

Master’s degree student specializing in Deep Learning for Multimedia Processing. I am currently conducting research on the applications of Graph Neural Networks (GNNs) and relational databases, focusing on identifying optimal methods to represent relational data as graphs for subsequent processing with deep learning algorithms.
In 2023, I graduated as a Telecommunications Engineer from Universidad Católica Andrés Bello (Caracas, Venezuela), earning a Cum Laude distinction. After gaining professional experience in the industry, I decided to pivot toward Data Science and Machine Learning by pursuing a Master’s Degree in Advanced Telecommunications Technologies (following the specialization at Deep Learning for Multimedia Processing) at Universitat Politècnica de Catalunya.

I am thrilled to build foundational expertise in this fascinating field, particularly in Graph Theory and Graph Neural Networks (GNNs), an exciting research area with proven applications in solving complex real-world problems.
During my undergraduate studies, I completed a minor in Creative Writing at UCAB. This experience honed my critical thinking skills, enabling me to approach technical challenges not only through an engineering lens but also with attention to the human and philosophical dimensions inherent to AI development.
As both an engineer and musician, my goal is to merge these dual passions by exploring creative ways to apply cutting-edge technologies -such as AI and data science- to music, literature, and art