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.
The topics that are currently available can be found below. (Note: The list will change in the coming days when extra topics become available.)
Supervisor: Aditya Bhardwaj
Supervisor: Bahadir Aktas
Supervisor: Chakshu Gupta
Supervisor: Claudenir Fonseca
Design RESTfull APIs from ontologies with OntoUML and OpenAPI
A worflow for cataloging OntoUML ontologies
Effectively presenting ontologies through diagrams
Identifying unsound OntoUML ontologies with SPARQL
Reusable containers for Ontology-as-a-Service architectures
Transforming OntoUML ontologies into Neo4j
Supervisor: Dipti Sarmah
Automated Secure and Smart Material Ordering System for TCS programme
Evaluating the Decay of DE&I Knowledge Among Bachelor Students for Higher Education
Supervisor: Federico Mazzone
Reality Check for Privacy Attacks in ML: Assessing Membership Inference on State-of-the-Art Models (See paper 1, paper 2, paper 3)
Supervisor: Giancarlo Guizzardi
Translating between different ontologies: generating OntoUML diagrams from BFO-based ontologies
Supervisor: Isadora Valle
Cognitive psychology meets data modeling: An empirical study on natural categories
Supervisor: Javara Allah Bukhsh
Supervisor: João Luiz Rebelo Moreira
Metrics and methods for evaluating semantic and organizational interoperability.
Towards Digital Twin: 3D environment for rover simulation.
Showcase Digital Twins and Digital Product Passports of IoT Cyberlab equipment
Microservices architecture using the OpenTripModel and EDIFACT for logistics.
Microservices NF requirements: resiliency, scalability, performance and security.
Personal Health Train for data federation.
Ontology for education improvement of the BIT programme.
Continuous Model-Based System Engineering of Smart Products.
Integration of Application Lifecycle Management (ALM) with Product Lifecycle Management (PLM) for Smart Applications.
Integration of drone data with Laboratory Information Management System.
Data integration of autonomous vehicles.
Smart application interoperability with ETSI SAREF and/or HL7 FHIR standards
Interoperable drone system for building inspection.
Supervisor: Luca Mariot
A modification of Euclid's algorithm for the generation of coprime polynomials in secret sharing
Cheating in secret sharing schemes based on linear cellular automata
Fitness Landscape Analysis for Cryptographic Boolean Functions
Supervisor: Luiz Olavo Bonino
LLM-based verbalisation design and implementation of data access and data request policies using ODRL
Evaluation of visualisation alternatives for RDF-based metadata schemas (Web form and graph diagram)
Design and analysis of federated analysis interactions between data providers and consumers (FAIR Data Train)
Wizard-based data access conditions definition
Supervisor: Marc Damie
Supervisor: Matteo Grella
Expanding GUARD: Multilingual Detection of Security Smells in IaC Files
Supervisor: Stefano Simonetto
Augmenting CVE Descriptions with Stable Diffusion to Balance Dataset for CWE Classification
Tracking the Evolution: Uncovering Concept Drift in Vulnerabilities Descriptions Over Time
Supervisor: Vasco Rikkers
Supervisor: Zsolt Kucsván
Extracting Indicators of Compromise from Threat Reports by Leveraging the Power of LLMs
Translating Incident Response Playbooks from CACAO to Enterprise-Specific Format
Translating Incident Response Playbooks from Enterprise-Specific Format to the CACAO standard
If you are interested in another topic related to the academic staff, research areas, running projects, or any other questions related to the track, please contact Tiago Prince Sales.
Students should choose a topic, contact the supervisor, and get approval to work on the topic.