Research

The Alarcos research group focuses on the development of new methods, techniques, tools and processes that help software engineers to build higher quality information systems. The Alarcos group addresses numerous lines of research, with special emphasis on aspects of software quality and sustainability, software process improvement, knowledge management, software analysis, design, testing and maintenance, and information systems governance and auditing.

The research group develops numerous research projects and collaborates with several organizations and companies in the sector, offering active technology transfer as well as consulting services.

Research lines:

• Data and Information Quality
• Quality in Software Development
• Global Software Development and Knowledge Management
• IS Governance and Auditing
• Business Engineering
• Maintenance, Reengineering and Modernization
• Research Methods
• Software Processes
• Software Testing
• Software Sustainability
• Quantum Software Engineering

More info here.

Its objective is the design of complex systems with both hardware and software components, with special emphasis on aspects such as resource utilization, performance and communications, and their application to the development of advanced services in areas such as distributed computing, ambient intelligence or sensor networks, among others.

More info here.

The CHICO Group (Computer-Human Interaction and Collaboration) of the University of Castilla-La Mancha is based at the School of Computer Science of the campus of Ciudad Real (ESI) and is recognized as a Consolidated Group by the Junta de Comunidades de Castilla - La Mancha. Its main research objective is focused on the application of new methods, techniques, tools and processes of Computer Engineering for the improvement of interactive and collaborative tasks. In this context, the design of experiments and data analysis through the application of statistical and artificial intelligence techniques play an important role.

The Group has a Usability Laboratory located at ESI, which has infrastructures for data capture using eye tracking and biometric techniques based on TOBII software and hardware tools. In addition, there is equipment for mixed reality and for natural interaction aimed especially at supporting group activity experiences, applying various innovative metaphors.

Research lines:

• Application of Software Engineering techniques to e-Learning systems development
• Development and application of Software Engineering techniques in Human-Computer Interaction
• Data capture using eye-tracking and EEG techniques
• Design of experiments and data analysis

More info here.

The DEC-tau group researches formal methods applied to the integration of declarative multi-paradigm languages (i.e. languages with logical, functional, and fuzzy logic features) and to the automatic transformation of declarative programs.

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The GSyA group focuses its research mainly on two main lines, software security and security and risk management. Specifically, the group researches on how to build and use safer software, for which it develops software engineering methods and processes, new modeling techniques, and also tools that provide automated support to the construction of safer software, addressing all stages of the software development process and considering the most advanced development paradigms and technologies. Additionally, the group works on the development of methodologies and techniques to measure and manage IT security and risks in companies in a systematic and predictable way, developing approaches based on advanced techniques from the field of computer science, such as machine learning, quantum computing, ontologies and metadata, or blockchain.

Research lines:

• Software Security:
  • Security in Requirements Engineering
  • Security Patterns and Architectures
  • Business Process Security
  • Security Ontologies
  • Big Data and Data Analytics Security
• Security and Risk Management:
  • Security Management Systems
  • Risk Analysis and Management
  • Security Metrics
  • Security Governance
  • Security Auditing

More info here.

MAmI (Modelling Ambient Intelligence) is a research group of the University of Castilla-La Mancha (UCLM), belonging to the School of Computer Science of Ciudad Real and the Institute of Information Technologies and Systems. The MAmI group is specialized in different areas related to Interactive Systems and Ambient Intelligence, facing mainly challenges related to health monitoring and physical and cognitive rehabilitation. In this sense, MAmI has participated in several projects, in the fields of assistive care (AAL), Alzheimer's diagnosis and patient support, mobile monitoring of obesity and diabetes, support for instrumental activities of daily living (IADL), gait analysis and diagnosis of frailty, and cognitive rehabilitation, among others; all of them with the aim of improving the quality of life and autonomy of patients and their families.

MAmI projects involve the development of technological solutions from hardware prototyping to the deployment of software services.

Research lines:

• Assistive technologies
• Health monitoring: chronic and non-chronic diseases, gait and frailty
• Ubiquitous computing and Ambient Intelligence
• Affective and cognitive computing
• Health data analysis

More info here.

Focused on the application of knowledge in AI techniques to the use and development of soft-computing systems, approximate reasoning, qualitative and linguistic modeling, as well as sensorization and video analysis in different fields. All this applying advanced information processing techniques based on supercomputing and Big Data.

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The SciCom Research Group works on the development and application of computational techniques for the treatment of complex networks in systems of scientific and technological interest.

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The SMILe research group (Soft Management of Internet and Learning) develops its work in the field of the application of Soft-Computing techniques (in particular Fuzzy Logic) within Information Retrieval on the Internet, Learning and Decision Support Systems and more recently Sentiment and Opinion Analysis and Intelligent Data Analysis and Big Data. Within this framework, the contributions made in models that allow the semantic search of information on the Web and other large databases, the efficient management of dynamic document repositories, etc., stand out. All these scientific contributions are marked by a deep practical approach which is reflected in the different search and knowledge management tools that have been implemented and put into operation during the last years (FISS, Zoom, GUMSe, BUDI, AGORA, etc.).

Research lines:

• Soft-Computing and Fuzzy Logic theory and applications.
• Sentiment analysis and opinion mining.
• Artificial Intelligence and Machine Learning for Big Data analytics.
• Development of Knowledge-Based Systems and Intelligent Decision Support Systems.
• Knowledge representation and inference models.
• Conceptual/semantic information retrieval and meta-search engines.
• Collaborative learning and learning objects.

More info here.