The mission of the CSE Division is to provide education and research in all relevant aspects of Computer Science and Software Engineering for industrial and embedded systems. To establish world class education and research in this utterly complex area extensive collaboration with industry is required. The goal is to strengthen and secure the Computer Science and Software Engineering part of the education, and to provide scientifically well founded methods and theories for the application areas. Our research is directed to increase the knowledge of software engineering and in particular of industrial software engineering, real-time and embedded systems component-based software engineering, dependable systems, from both theoretical and practical points of view. The research results of the CSE is supposed to be used both at the university and in the industry. At the university, the accumulated knowledge is used for further education in order to prepare the students for new aspects in system development. The industry will benefit with direct implementation of methods and knowledge built up in the research activities and well educated students.
Bias-Aware Generative XAI for Sustainable Air Traffic Control: A Methodological Framework with Predictive Telemetry (Jun 2026) Mobyen Uddin Ahmed, Christophe Hurter , Shaibal Barua, Shahina Begum, Pietro Aricò , Nicola Cavagnetto International Conference on Artificial Intelligence, Automation and Control Technologies (AIACT 2026)
Explainable Hierarchical Self-Supervised Learning Framework for Intelligent Fault Discovery (Jun 2026) Md Rakibul Islam , Shahina Begum, Mobyen Uddin Ahmed International Conference on Artificial Intelligence, Automation and Control Technologies (AIACT 2026)
Explainable Quantum Machine Learning Concepts for Trajectory Optimization in Air Traffic Management (May 2026) Shahina Begum, Shaibal Barua, Mobyen Uddin Ahmed, Henri de Boutray , Christophe Hurter International Conference on Modern Artificial Intelligence and Data Science Systems (MAIDSS26)
Quantum Machine Learning for Optimisation: A Domain Focused Survey (May 2026) Surya Teja Darbhamalla, Shahina Begum, Shaibal Barua, Mobyen Uddin Ahmed International Conference on Modern Artificial Intelligence and Data Science Systems (MAIDSS26)
Technical Credit: Industry Views on Benefits and Barriers (Apr 2026) Alessio Bucaioni, Ian Gorton , Patrizio Pelliccione 48th IEEE/ACM International Conference on Software Engineering (ICSE 2026)
Engineering Future Critical CPSs with Trustworthy GenAI Across the Lifecycle (Apr 2026) Alessio Bucaioni, Antonio Cicchetti, Gordana Dodig-Crnkovic, Romina Spalazzese , Emma Söderberg , Dániel Varró 48th IEEE/ACM International Conference on Software Engineering (ICSE 2026)

