Group identity

  • Cataloging code: TIC019

  • Name: Centro Extremeño de Investigación iNnovación Tecnológica y Supercomputación

  • Acronym: CénitS

  • Coordinador: Juan Antonio Rico Gallego

  • R+D+I organization: The Computing and Advanced Technologies Foundation of Extremadura (COMPUTAEX)

  • Number of members: 14

  • Web: https://computaex.es

The research group CénitS has a mission to promote excellence in the fields of advanced computing, artificial intelligence, and emerging technologies, driving scientific and technological innovation in Extremadura and beyond.

Research areas

1. Machine Learning, Deep Learning, and Reinforcement Learning

The group research into machine learning algorithms (Machine Learning, Deep Learning and Reinforcement Learning) applied to multiple domains. Its main lines of research include:

  • Cybersecurity through ML techniques and device performance profile analysis.

  • Code optimization using AI to reduce execution time and energy consumption in HPC and IoT.

  • Application of ML management and optimization on Lusitania supercomputer.

  • Research on Large Language Models (LLM).

  • Application of ML in renewable energy, biomedicine, biotechnology, and big data processing.

2. Data Science

The Data Science field is a cross-cutting theme within the group, where methodologies are developed for knowledge extraction and decision-making based on large volumes of information. Work is carried out on:

  • Federated Learning and model explainability, with an ethical approach to data use.

  • IoT (Internet of Things): integration of physical devices and communication protocols for efficient automation.

  • Cloud Computing: provision of on-demand computing services.

  • Big Data: large-scale data storage, processing, and analysis.

  • Data privacy and cybersecurity.

  • Applications in biotechnology, health, and renewable energy.

3. Quantum Computing

CénitS explores opportunities in the NISQ era and the transformative potential of quantum computing in science and technology. Its lines of work include:

  • Quantum simulation of complex systems.

  • Development of quantum circuits and algorithms to solve high complexity problems.

  • Research on Quantum Machine Learning and quantum optimization algorithms.

  • Quantum communication and quantum security.

  • New practical applications of quantum computing in industry, research, and technology, also considering its ethical implications.

4. Supercomputing and High-Performance Computing (HPC)

The Supercomputing field is the basis on which the group's activity is structured. Its research focuses on:

  • Energy efficiency of high-performance platforms using Green Software techniques.

  • Optimization of applications and algorithms in CPU multicore, GPU and Infiniband environments.

  • Application adaptability in heterogeneous systems, with performance modeling techniques, load balancing, and efficient process deployment.

  • Simulation, implementation, and development of small-scale Digital Twins .

El grupo CénitS is a leader in Extremadura in the field of advanced computing, working at the forefront of AI, Data Science, Quantum computing and High-Performance Computing (HPC), with the aim of promoting research, innovation, and technology transfer to society and the productive sector.