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.
A SlowTech-based questionnaire for Paving the Way to a Sustainable Human/AI Collaboration (Nov 2026) Barbara Gallina ESDiT/4TU.Ethics-Technology Ethics in Turbulent Times: Expanding the Moral Agenda for Transformation (ESDiT4TUEthics26)
Bridging Function Block Diagrams and Verified Python Code: A Verification-Aware Approach for Programmable Logic Controllers (Oct 2026) Mikael Ebrahimi Salari, Cristina Seceleanu, Eduard Paul Enoiu, Marco Eilers , Alessio Bucaioni, Wasif Afzal
Human Foreseeable Misuse while Interacting with EHMI (External Human Machine Interface) mounted on Urban Road, Water, Rail Autonomous Vehicles (Oct 2026) Barbara Gallina 53rd Nordic Ergonomics and Human Factors Society (NES-2026)
Agentic Model Transformation: Service-Mediated Orchestration for Transformation Development (Oct 2026) Duy Dao, Alessio Bucaioni, Antonio Cicchetti ACM/IEEE 29th International Conference on Model Driven Engineering Languages and Systems (MODELS) (MODELS 2026)
Beyond single-run correctness: nondeterminism-aware evaluation of LLM-based model transformations (Oct 2026) Riccardo Rubei, Alessio Bucaioni, Amleto Di Salle ACM/IEEE 29th International Conference on Model Driven Engineering Languages and Systems (MODELS) (MODELS 2026)
From Generation to Governance: A Conceptual Framework for Specification-Driven Development with Large Language Models (Oct 2026) Malvina Latifaj Knowledge Operationalization from iNformal To EXecutable Models (KONTEX)