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Lines and teams of research

Research Lines

 

 

The Doctoral Program in Computer Science and Technology is structured around four major lines of research:

 

  1. Data Science and Artificial Intelligence (AI).
    This line of research focuses on the study and application of data extraction, processing, loading, and analysis through artificial intelligence techniques applied to various domains (such as Smart Cities). Researchers in the program are currently working on defining strategies for exploratory data analysis, creating new AI-based predictive models, and applying both machine learning and deep learning techniques to solve data science problems. The leading researchers are:
    • BOBADILLA SANCHO, JESÚS (Full Professor)
    • CAMACHO FERNÁNDEZ, DAVID (Full Professor)
    • SERRADILLA GARCÍA, FRANCISCO (Full Professor)
  2. Cybersecurity and Quantum Computing (Cyber).
    This research line addresses the development of advanced computer security mechanisms, including the study of new cryptographic approaches resistant to quantum attacks, as well as the application of quantum computing principles for threat detection and prevention. Quantum algorithms are being explored to enhance the real-time analysis of large volumes of data, enabling more effective responses to cybersecurity incidents. Additionally, the potential of blockchain as a distributed trust mechanism is examined in highly dynamic and risk-prone environments. The leading researchers are:
    • BLASCO ALÍS, JORGE (Associate Professor)
    • CASTRO HERNÁNDEZ, JULIO CÉSAR (Associate Professor)
    • GARCÍA LÓPEZ DE LACALLE, JESÚS (Full Professor)
  3. Computer Architecture, Security, and Advanced Networks (ATCRedes).
    This line of research focuses on the evolution of computing systems by investigating advanced hardware architectures that optimize performance, energy efficiency, and the scalability of processors and computing platforms. It also analyzes complex network and communication infrastructures, including software-defined networks (SDN), service-oriented architectures, and adaptive topologies. The goal is to design systems capable of handling intensive and distributed workloads while enabling efficient integration of emerging technologies. The leading researchers are:
    • MOZO VELASCO, ALBERTO B. (Full Professor)
    • NARANJO HERNÁNDEZ, JOSÉ EUGENIO (Full Professor)
    • ROBLES VALLADARES, TOMÁS (Full Professor)
  4. Design of Complex Software Systems and Applications (INGSW).
    This line of research focuses on software engineering for complex systems, particularly on process models, product architectures, and software tools aimed at improving the overall quality of software products and their development processes. Application areas include IT for energy and smart grids, where information technologies are used to improve energy management (covering aspects such as low-power design, recycling, reuse, and environmental impact), and the design of recommendation systems in the context of social networks. The leading researchers are:
    • GARBAJOSA SOPEÑA, JUAN (Associate Professor)
    • PÉREZ BENEDÍ, JENNIFER (Associate Professor)

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