Profile of Fernando Losilla López

Internet Explorer no está soportado por esta aplicación

Recomendamos que instale un navegador más moderno como por ejemplo Mozilla Firefox, Microsoft Edge (Windows 10), Vivaldi, Brave, Opera o Google Chrome. Este sitio web también es compatible con Safari en macOS.

About

Fernando Losilla López

PhD in Doctor in Telecommunications from Technical University of Cartagena (SPAIN) - 2009

Office Hours

Location

Day

Schedule

Antigones, Floor 1, Office Despacho 16
Tutorías en despacho y Teams. Consultad en aula virtual las modificiaones puntuales en los días de tutorías. Posibilidad de atender fuera de horario de tutorías previo aviso por email al profesor.

Tuesday

10:30 — 13:30

Wednesday

10:30 — 13:30

Tutorials will by carried out by request of the student sending a mail to fernando.losilla@upct.es

Teaching

Course

Degree

Type

Duration

ECTS

ADVANCED INTERNET CONCEPTS

Master's degree in Telecommunication Engineering

Type

Duration

ECTS

APPLICATIONS AND SERVICES ON THE INTERNET

Master's degree in Telematic Engineering

Type

Duration

ECTS

TECHNOLOGIES FOR ARTIFICIAL INTELLIGENCE

Master's degree in Telematic Engineering

Type

Duration

ECTS

VIRTUAL AND AGUMENTED REALITY

Ir a Teams

Master's degree in Telematic Engineering

Type

Duration

ECTS

WIRELESS NETWORKS

Degree in Telematic Engineering

Type

Duration

ECTS

Abbreviation list

BS: Basic course
B: Required course
O: Elective course

A: Year-long
1Q: 1st half
2Q: 2st half

Projects

Date

Title

09/2021 — 08/2024

AriSe2: Redes IoT Futuras y Nanorredes

Ref: PID2020-116329GB-C22

I.P.: Juan José Alcaraz Espín / Antonio Javier García Sánchez

Financial Entity: Agencia Estatal de Investigación

12/2016 — 12/2020

Aumento de la inteligencia, capacidades cognitivas y creación de valor en las tecnologías de coMunicación para la IoE

Ref: TEC2016-76465-C2-1-R

I.P.: Juan García Haro / María Dolores Cano Baños

Financial Entity: Ministerio de Economía y Competitividad. Fondo Europeo de Desarrollo Regional (FEDER)

01/2017 — 03/2019

SERVICIOS DE GEOMARKETING Y BIG DATA

Ref: 2I16SA000050

I.P.: Alejandro Santos Martínez Sala

Financial Entity: Consejería de Desarrollo Económico, Turismo y Empleo. Fondo Europeo de Desarrollo Regional (FEDER)

01/2014 — 12/2016

COoperative INtelligence Schemes for Future Internet emerging technologies

Ref: TEC2013-47016-C2-2-R

I.P.: Juan García Haro / José María Malgosa Sanahuja

Financial Entity: Ministerio de Economía y Competitividad. Fondo Europeo de Desarrollo Regional (FEDER)

01/2008 — 07/2014

Conceptos y Paradigmas Avanzados para Internet de Nueva Generación

Ref: 04549/GERM/06

I.P.: Juan García Haro

Financial Entity: Fundación Séneca-Agencia de Ciencia y Tecnología de la Región de Murcia

12/2010 — 06/2014

ChAracterization, EvaLuation, Planning and IMprovement of Key Technologies for the Future Internet: Knowledge and Transfer (CALM)

Ref: TEC2010-21405-C02-02

I.P.: Juan García Haro

Financial Entity: Ministerio de Ciencia e Innovación. Fondo Europeo de Desarrollo Regional (FEDER)

05/2011 — 09/2012

Future Internet: Eficiencia en las redes de altas prestaciones

Ref: TEC2010-12250-E

I.P.: Pablo Pavón Mariño

Financial Entity: Ministerio de Ciencia e Innovación. Fondo Europeo de Desarrollo Regional (FEDER)

10/2007 — 09/2010

Contribución a los nuevos paradigmas y tecnologías de red para las comunicaciones del mañana

Ref: TEC2007-67966-C03-01

I.P.: Juan García Haro

Financial Entity: Ministerio de Educación y Ciencia

10/2006 — 11/2009

MARCO CONCEPTUAL Y TECNOLÓGICO PARA EL DESARROLLO DE SOFTWARE DE SISTEMAS REACTIVOS

Ref: TIN2006-15175-C05-02

I.P.: Pedro Sánchez Palma

Financial Entity: Ministerio de Educación y Ciencia. Fondo Europeo de Desarrollo Regional (FEDER)

12/2005 — 12/2006

Calidad de Servicio e Ingeniería de Tráfico en Redes Heterogéneas.

Ref: TEC2005-08068-C04-01

I.P.: José Fernando Cerdán Cartagena

Financial Entity: Ministerio de Educación y Ciencia. Fondo Europeo de Desarrollo Regional (FEDER)

Teaching evaluation

Year

Course

Degree

Class

Survey respondent

Average (*)

2021-22

WIRELESS NETWORKS

505103008

Degree in Telematic Engineering

Class

Survey respondent

Average

4.38

VIRTUAL AND AGUMENTED REALITY
247101010

Master's degree in Telematic Engineering

Class

Survey respondent

Average

4.67

TECHNOLOGIES FOR ARTIFICIAL INTELLIGENCE
247101009

Master's degree in Telematic Engineering

Class

Survey respondent

Average

4.2

ADVANCED INTERNET CONCEPTS
211101001
247101001

Master's degree in Telecommunication Engineering
Master's degree in Telematic Engineering

Class

Survey respondent

Average

4.93

2020-21

WIRELESS NETWORKS

505103008

Degree in Telematic Engineering

Class

Survey respondent

Average

4.36

WIRELESS NETWORKS
505103008

Degree in Telematic Engineering

Class

Survey respondent

Average

4.67

ADVANCED INTERNET CONCEPTS
211101001
247101001

Master's degree in Telecommunication Engineering
Master's degree in Telematic Engineering

Class

Survey respondent

Average

4.94

2019-20

WIRELESS NETWORKS

505103008

Degree in Telematic Engineering

Class

Survey respondent

Average

4.67

WIRELESS NETWORKS
505103008

Degree in Telematic Engineering

Class

Survey respondent

Average

4.59

VIRTUAL AND AGUMENTED REALITY
247101010

Master's degree in Telematic Engineering

Class

Survey respondent

Average

ADVANCED INTERNET CONCEPTS
211101001
247101001

Master's degree in Telecommunication Engineering
Master's degree in Telematic Engineering

Class

Survey respondent

Average

4.31

2018-19

WIRELESS NETWORKS

505103008

Degree in Telematic Engineering

Class

Survey respondent

Average

4.22

TELECOMMUNICATION NETWORK AND SERVICES
504102003
505102003

Degree in Telecommunication Systems
Degree in Telematic Engineering

Class

Survey respondent

Average

3.6

ADVANCED INTERNET CONCEPTS
211101001

Master's degree in Telecommunication Engineering

Class

Survey respondent

Average

4.5

2017-18

WIRELESS NETWORKS

505103008

Degree in Telematic Engineering

Class

Survey respondent

Average

4.56

ADVANCED INTERNET CONCEPTS
211101001

Master's degree in Telecommunication Engineering

Class

Survey respondent

Average

4.47

(*) Average over a maximum of 5