Samuel Magaz Romero  

Contratado predoutoral (PC-PD)

Department Computer Science and Information Technologies
Knowledgment area Computational Science and Artificial Intelligence
Research  Research group Laboratorio de Investigación y Desarrollo en Inteligencia Artificial
Research lines Artificial Intelligence, Quantum Computing
Keywords Symbolic processing models, Knowledge representation, Uncertainty
Contacto UDC directory
Orcid id0000-0001-6438-5569

Teaching

Subjects taught

This section shows the teaching given in degrees, masters and other officers studies in last 6 years.

Subject and involved studies Distance hours Total hours
Deep Learning 0 15
Fundamentals of Programming II 0 15
Programming II 0 3
Programming II 0 19
Rule-Based Quantum Systems 0 8.5

Defined tutoring by teacher for 2023/2024 academic course.

Faculty of Computer Science

Quarter Day Site
2nd chance Tuesday
09:00 a 11:00
Laboratorio 3.2
2nd chance Friday
10:30 a 12:30
Laboratorio 3.2

EOG works and final master thesis directed

No available EOG works or final master thesis directed by current teacher since 2013 year.

Research results

Select merit type and year to query research merits.

Quantum Computing for Dealing with Inaccurate Knowledge Related to the Certainty Factors Model

Authors Vicente Moret-Bonillo, Samuel Magaz-Romero, Eduardo Mosqueira-Rey
Journal Mathematics Vol. 10
DOI https://doi.org/10.3390/math10020189

Quantum Rule-Based Systems: Managing Uncertain Information with Quantum Computing
2nd European Quantum Technologies Virtual Conference (EQTC)
International

Authors Vicente Moret-Bonillo, Eduardo Mosqueira-Rey, Samuel Magaz-Romero, Andrés Gómez-Tato, Daniele Musso
Organization National University of Ireland
Place Galway - online (Irlanda)