Resilient and Secure AI-based Systems More Information

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RAISE (Resilient and Secure AI-based Systems) is a multidisciplinary research group dedicated to advancing trustworthy, resilient, intelligent, and human-centered systems for the digital society. Bringing together researchers with expertise spanning Artificial Intelligence, Machine Learning, Data Science, Software Engineering, Cybersecurity, Human-Computer Interaction, Internet of Things, Cloud Computing, Decision Support Systems, and Information Systems, the group addresses complex scientific and societal challenges through both fundamental and applied research. We are a team of experts aiming to advance the frontiers of intelligent technology with a steadfast commitment to security, ethics, and real-world impact.

Our research explores the full lifecycle of intelligent systems, from data acquisition and knowledge extraction to the design, deployment, security, governance, and responsible use of AI technologies. Key topics include machine learning and deep learning, natural language processing, computer vision, pattern recognition, responsible and ethical AI, generative AI, cybersecurity and privacy, distributed and cloud architectures, intelligent agents, software quality, decision support systems, business intelligence, robotics, IoT, and smart environments.

A distinctive feature of RAISE is its strong commitment to resilience, security, transparency, and human factors in AI. The group develops methods and technologies that are not only powerful and innovative but also trustworthy, explainable, robust, and aligned with societal values. This includes research in cybersecurity awareness, privacy protection, human-centered design, ethical AI, software reliability, and secure digital transformation.

RAISE maintains an active network of national and international collaborations with universities, research centers, public institutions, and industry partners. Through multidisciplinary projects, technology transfer initiatives, and participation in international scientific communities, the group contributes to the development of intelligent solutions across domains including healthcare, education, public administration, transportation, sustainability, smart cities, tourism, energy management, and digital innovation.

We pride ourselves on a strong collaborative spirit, maintaining active partnerships with industry leaders and global academic institutions to ensure our research drives meaningful innovation. By combining scientific excellence with real-world impact, RAISE seeks to shape the next generation of AI-based systems that are intelligent, secure, resilient, ethical, and beneficial for people, organizations, and society.

Core Research Pillars

• Intelligent Systems & Machine Learning: Our researchers specialize in advanced Machine Learning, Deep Learning, and Generative AI. We explore evolutionary algorithms, pattern recognition, and self-adjusting models to solve complex, multi-criteria problems.
• Security, Resilience & Privacy: Security is at our core. We lead research in Cybersecurity, information protection, and data privacy. Our work includes developing secure distributed applications, utilizing Blockchain technology, and promoting Cybersecurity Awareness through innovative methods like serious games.
• Distributed Systems & Infrastructure: We build the foundations for modern digital environments, from Cloud Computing and Interoperable Architectures to Internet of Things (IoT) ecosystems. Our projects in Smart Cities, Tourism, and Intelligent Buildings demonstrate how connected systems can optimize energy savings and human behavior.
• Data Science & Decision Support: We transform raw data into actionable knowledge through Business Intelligence and Analytics, Text Mining, and Advanced Visualization. Our expertise supports strategic decision-making in sectors such as Health, Public Administration, and Transportation.
• Human-Centric Technology: We believe technology should empower people. Our research in Human-Computer Interaction (HCI) and software usability ensures that complex systems remain accessible and ethical for all stakeholders.