Lucentia

Research Group

Introduction

Research and technology transfer to companies and public administrations in any field.

The Lucentia Research Group, headed by Juan C. Trujillo, focusses its main research on application and business solutions and more specifically on Business Intelligence solutions (BI). The Lucentia Group can be considered as both a national and international reference in business intelligence applications which is clearly demonstrated by the high number of publications in journals indexed JCR of high impact and CORE A conferences, design tools, relationships with various research groups and participation in various public and private projects.

It should also be noted that the Group has applied the paradigm of Model Driven Design (Model Driven Engineering) to solve various existing problems such as data integration, iNversas sources and automatic generation of applications.

On this website you will find, among many other things, our research areas (business intelligence applications, key performance indicators, dashboards, data warehouses, OLAP applications, data mining, Web accessibility and usability, security, etc.), publications, current projects and a list of the products we offer to companies, etc.

Our research lines

Blockchain

Development of decentralized applications, smart contracts and tokenization of the assets both within the Alastria network, and in public Blochchains such as Ethereum.
Creation of self-learning systems using complex patterns in millions of data and our methodology oriented to the development of customized solutions.

Artificial Intetlligence and Machine Learning

Internet of Things

Using the consolidation through the network that houses a great multitude of objects or devices, we develop products for a wide variety of markets.
Management of digital content, improvement of the user experience using various alternatives such as SCORM, the API Experience etc.

E-Learning and Content Management

Big Data and Business Intelligence (BI)

Development of Business Intelligence solutions that make use of Big Data. Management and acquisition of data sources. design of the Data Warehouse (DW) and Design of visualizations.

Projects

Publications

Doctoral theses

Nuestros proyectos

ESPIA: Entornos de producción de software para la integración avanzada de servicios de información

Red de excelencia de calidad y sostenibilidad de software

Reference:

TIN2017‐90689‐REDT


Financial entity:

Ministry of Economy, Industry and Competitiveness


Call type:

National


Duration:

01/07/2018 to 30/06/2020

Red de Modelado y Gestión Inteligente del Big Data

Reference:

TIN2016-82060-REDT


Financial entity:

Ministry of Economy, Industry and Competitiveness


Call type:

National


Duration:

01/07/2017 to 30/06/2019

Red de Gestión de Datos

Reference:

TIN200804453E


Financial entity:

Ministry of Education and Science


Call type:

National


Duration:

01/01/2009 to 31/12/2009 (12 months)

DQNet: Red para la promoción de la Calidad de Datos en Sistemas de Información Empresariales

Reference:

TIN200524790E


Financial entity:

Ministry of Education and Science


Call type:

National


Duration:

01/01/2009 to 31/12/2009 (12 months)

RETISTRUST: Red temática de investigación en el campo de la seguridad y confianza para los sistemas de información en una sociedad conectada

Reference:

TIN2006256885E


Financial entity:

Ministry of Education and Science


Call type:

National


Duration:

01/01/2007 to 31/12/2007 (12 months)

Red de excelencia sobre desarrollo de software dirigido por modelo

Reference:

TIN200525866E


Financial entity:

Ministry of Education and Science


Call type:

National


Duration:

01/07/2006 to 31/07/2008 (24 months)

Red de Bases de Datos

Reference:

TIN200524802E


Financial entity:

Ministry of Education and Science


Call type:

National


Duration:

01/10/2006 to 30/09/2007 (12 months)

CALIPSO: Calidad del producto y proceso software

Reference:

TIN2005-24055-E


Financial entity:

Ministry of Education and Science


Call type:

National


Duration:

01/10/2005 to 30/09/2007 (24 months)

Red de Excelencia de Bases de Datos

Reference:

TIC20015079E


Financial entity:

Ministry of Science and Technology


Call type:

National


Duration:

01/06/2002 to 01/07/2004 (25 months)

E-motion Potential of Hypersensitivity

Reference:

2018-1-PL01-KA201-051033


Financial entity:

European Commission


Call type:

European


Duration:

01/09/2018 to 31/08/2021

Sensitive career management (PRO-MOTION)

Reference:

 


Financial entity:

European Commission


Call type:

European


Duration:

15/01/2021 to 14/01/2024

High sensitivity - Innovative Module in human science (HSP)

Reference:

 


Financial entity:

European Commission


Call type:

European


Duration:

1/12/2020 to 30/06/2023

News

These – Ana Lavalle – A methodology for the visual comprehension of Big Data

On July 15, 2021, the predoctoral researcher Ana Lavalle López, member of the Lucentia research group, defended her thesis entitled "A methodology for the visual comprehension of Big Data", whose directors were Dr. Juan Carlos Trujillo Mondéjar (director of the Lucentia research team and professor of the Department of Computer Languages and Systems (DLSI) of the University of Alicante) and Dr. Alejandro [...]
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0

Big Data method to predict covid patient outcomes with 90% accuracy

The Lucentia research group, from the University of Alicante, is developing the project 'Big Data and Artificial Intelligence Solution to improve the diagnosis and medical care of those affected by COVID-19', in collaboration with several hospitals in the Valencian Community.   Through the project, the aim is to predict the evolution of infected patients so that hospitals know in advance whether it [...]
Read More
0

These – Ana Lavalle – A methodology for the visual comprehension of Big Data

On July 15, 2021, the predoctoral researcher Ana Lavalle López, member of the Lucentia research group, defended her thesis entitled "A methodology for the visual comprehension of Big Data", whose directors were Dr. Juan Carlos Trujillo Mondéjar (director of the Lucentia research team and professor of the Department of Computer Languages and Systems (DLSI) of the University of Alicante) and Dr. Alejandro [...]
Read More
0

Big Data method to predict covid patient outcomes with 90% accuracy

The Lucentia research group, from the University of Alicante, is developing the project 'Big Data and Artificial Intelligence Solution to improve the diagnosis and medical care of those affected by COVID-19', in collaboration with several hospitals in the Valencian Community.   Through the project, the aim is to predict the evolution of infected patients so that hospitals know in advance whether it [...]
Read More
0