Daniel Varela Miguéns  

(PC-PD)

Department Computer Science
Knowledgment area Computational Science and Artificial Intelligence
Research  Research group Information Retrieval Lab
Research lines Artificial Intelligence systems Evolutionary Computing bioinformatics
Contacto UDC directory

Teaching

Subjects taught

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

Subject and involved studies Total hours
Operating Systems 0
Subject and involved studies Total hours
Computer Science
Automation and Industrial Electronics Engineering
Degree in Electrical Engineering
57.5
Operating Systems
Degree in Computer Engineering
2.5
Subject and involved studies Total hours
Intelligent Systems
Degree in Computer Engineering
Master's in Computer Engineering
60

Defined tutoring by teacher for 2018/2019 academic course.

Faculty of Computer Science

Quarter Day Site
1st quarter Monday
10:30 a 13:30
Laboratorio 4.2
1st quarter Wednesday
17:30 a 20:30
Laboratorio 4.2

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.

MERLOT: RAZONAMIENTO MÉDICO CON HERRAMIENTAS LÓGICAS

Funding entity Ministerio de Economía y Competitividad (MINECO)
Main researches José Pedro Cabalar Fernández
Type Proyecto Programas Nacionales
Dates From 01/01/2014 to 31/12/2016

Mejora de la motivación del alumnado mediante la realización de un debate en la materia de Sistemas Inteligentes
XXIV Jornadas sobre la Enseñanza Universitaria de la Informática (JENUI 2018)
National

Authors María Amparo Alonso Betanzos, Verónica Bolón Canedo, Isaac Fernández Varela, David Alonso Rios, Daniel Varela
Place Barcelona (España)

A hybrid evolutionary algorithm for protein structure prediction using the Face-Centered Cubic lattice model
ICONIP 2017 (Core A)
International

Authors José Santos Reyes, Daniel Varela
Place Guangzhou (China)

A protein folding model using the Face-Centered Cubic lattice model
GECCO 2017 (Core A)
International

Authors José Santos Reyes, Daniel Varela
Place Berlin (Alemania)

Protein folding modeling with neural cellular automata using the Face-Centered Cubic model
IWINAC2017
International

Authors José Santos Reyes, Daniel Varela
Place Coruña, A (España)

Protein Folding Modeling with Neural Cellular Automata Using Rosetta
GECCO2016 (Core A)
International

Authors José Santos Reyes, Daniel Varela
Place Denver (Estados Unidos)

Combination of differential evolution and fragment-based replacements for protein structure prediction
GECCO 2015 - Genetic and Evolutionary Computation Conference
International

Authors José Santos Reyes, Daniel Varela
Place Madrid (España)