RESEARCH

At the heart of INESC INOV-Lab’s endeavours lies a multidisciplinary research team, whose expertise is finely aligned with the demands of the data-driven era and digital transformation. 

Researchers’ expertise spans from fundamental data processing and analysis to technologies adept at leveraging and manipulating data, including big data, machine learning and artificial intelligence, as well as advanced techniques for transporting data. Additionally, Researchers integrate emerging data acquisition technologies, such as Internet-of-Things and hyperspectral imaging, coupled with specialised knowledge in cybersecurity, ensuring data protection, their integrity and privacy. This comprehensive skill set serves as a dynamic catalyst to navigate the intricate landscape of data-driven innovation, and cements their leading position at the forefront of data revolution and digital transformation.

Based on their portfolio of competences, research efforts are strategically channelled into three main areas that are related to data in their several dimensions:

Cyber-Physical
Systems and Computing

It is dedicated to the study and development of systems that seamlessly integrate physical components with computational processes.  Work addresses technologies that enable smart and interconnected systems, such as the Internet of Things, autonomous vehicles, and smart grids.  Additionally, there is a focus on advancing computing capabilities to support these systems, including edge computing, real-time processing, and cyber-physical security measures.

Intelligent
Communication Networks

It concentrates on enhancing communication networks to support the growing demands of modern society. There is a development of intelligent solutions for improving the efficiency, reliability, and security of communications infrastructure and information, including wireless networks (namely 6G), optical communications, and satellite systems.  The work spans from developing radio channel models to novel protocols and algorithms to optimising network architecture and resource management.

Intelligent
Information Systems

It specialises in the development of intelligent information systems that can effectively collect, process, and analyse vast amounts of data.  Research encompasses various domains, including data mining, machine learning, natural language processing, and artificial intelligence. By leveraging advanced algorithms and techniques, there is the extraction of valuable insights from complex datasets and the building of intelligent systems capable of autonomous decision-making and adaptive behaviour, with a specific application to enterprise systems and management.

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