- Presentation
- Members
- Research Lines
Presentation
The Information Technology Division was created to offer support in the implementation of new technologies to the Canary Islands society, as well as research activities.
The main areas of activity in this division are primarily:
- Neural networks and Artificial Intelligence: Development of prediction and analysis systems using neural networks.
- Data mining: Implementation of data processing systems to automatically or semi-automatically explore massive data sources. The goal is to find anomalies, patterns, and correlations in large datasets to predict outcomes.
- Design, implementation, and deployment of IoT-based systems: Development of various systems based on IoT devices for monitoring and task automation.
- Development of mobile applications: The IT division has extensive experience in developing all kinds of applications for mobile devices, collaborating in this area with several local companies.
- Online authentication systems and communication security using cryptographic techniques: In this line, online authentication systems are analyzed and evaluated to identify weaknesses and strengths for specific applications. Solutions have been developed for payment and banking environments, as well as for the storage and management of cryptocurrencies.
- Programming languages and compiler development: Development of programming languages and tools. The division actively participates in the development and maintenance of the official ADA language compiler in close collaboration with the University of New York.
Director:
| Name and Surname | Category | Phone | Contact |
|---|---|---|---|
| Dr. Francisco José Guerra Santana | ULPGC Professor |  | |
| Dr. Pablo Vicente Hernández Morera | ULPGC Professor | | |
| Dr. Francisco Javier Miranda González | ULPGC Professor | | |
| Dr. José María Quinteiro González | ULPGC Professor | | |
| Dr. Fernando de la Puente Arrate | ULPGC Professor | | |
| Dr. Luis Miguel Hernández Acosta | ULPGC Professor | | |
| Aaron López Rodríguez | Researcher Contracted by Project or Program | | |
| Tomás García Pérez | Undergraduate Student in Research Training Regime | | |
| Sergio Santana Pérez | Undergraduate Student in Research Training Regime | |
Information Technology (IT)
Responsible: Dr. Fernando de la Puente Arrate
UNESCO Code: 3304
SL6.1: Information Technology
T1: Collaborative and semantic recommendation systems applied to the distribution of multimedia content and the tourism sector
This line focuses on the analysis and development of engines that generate product recommendations to end-users based on their tastes and preferences. Techniques used for this purpose range from collaborative filtering techniques to those based on ontologies. Adjustment of ontology-based filtering techniques is done based on results obtained through data mining techniques.
T2: User-targeted advertising in web applications
This line exploits personalized Internet advertising distribution. In other words, advertising moves away from the mass delivery scheme to reach only those users who find it of interest.
T3: Social networks and web 2.0 applied to different sectors
This line takes advantage of the cooperation and collaboration of social networks and web 2.0 in different web applications.
T4: Augmented reality and image characterization on mobile devices
This line seeks to complete physical information around the user with virtual information. With this technology, information about the real world around the user becomes interactive and digital.
T5: Workflow
Development of platforms for the automation of online administrative processes with support for electronic invoicing and document management.
T6: High availability systems
Development of distributed applications with fault tolerance and/or load balancing for high availability applications.
T7: Online authentication systems
In this line, online authentication systems are analyzed and evaluated to identify weaknesses and strengths for specific applications.
T8: Computer communication security
Security in electronic banking systems and payment methods. In the field of electronic banking security, a novel electronic signature system based on autonomous tokens is being developed, leading to a worldwide patent and exploitation through a spin-off company. This company has obtained public and private funding to carry out the integration of this device in smart card format.
T9: Data mining
This line is based on the ability to explore, automatically or semi-automatically, massive data sources to find repetitive patterns, trends, or rules that explain data behavior in a specific context.
T10: Programming languages and compilers
This research line focuses on the development of programming languages and tools. Currently, active participation is ongoing in the development and maintenance of the official ADA language compiler in close collaboration with the University of New York.