Digitalization brings many new opportunities for businesses and governments by fostering the development of innovative online services. However, this development also brings new challenges, notably in terms of intelligence, interoperability, security, and privacy. Therefore, research in this context aims to realize the vision of meaningful computing within trusted digital environments by advancing the forefront of semantic modeling, enhancing cybersecurity, and innovating service design.
In this track, we aim at conducting projects focussing on:
Methods and techniques for ontology-driven conceptual modeling, FAIR data stewardship, requirements conceptualization, architecture design, and model-driven engineering of service systems.
Foundational, core, domain, service, and application ontologies and service composition frameworks to realize semantic interoperability and meaningful enterprise services.
Automated methodologies for analyzing systems to identify and mitigate security flaws and to detect and assess potential threats.
Algorithms and protocols that provably secure the underlying IT infrastructure and that can thwart or detect attacks.
Data-driven services that can make sense of their context and can reliably and timely react to changing situations.
Privacy-enhancing technologies and design data protection and anonymization techniques for services that collect and process sensitive data.
Students should choose a topic, contact the supervisor, and get approval to work on the topic. For further information on the content of this track, you may contact the track chair: Tiago Prince Sales