Steffen Zschaler

King's College London, UK

steffen.zschaler@kcl.ac.uk

Steffen is Reader in Software Engineering at King’s College London and Director of MDENet, the expert network on model-driven engineering. His research interests are in model-driven engineering, with a particular focus on graph-transformation-based foundations, search-based optimisation, and modularity, as well as applications – most recently in the area of principled simulation engineering. He has published over 100 papers in the field and has acted on numerous PCs, most recently as PC co-chair for ECMFA 2023. He was a co-editor of a SoSyM special issue on AI and MDE, and a Springer book on Composing Model-Based Analysis Tools.

Richard Paige

McMaster University, Canada

paigeri@mcmaster.ca

Richard is Joseph Ip Distinguished Engineering Professor of Software Engineering at McMaster University, Canada, where he is Director of the Centre for Software Certification and Associate Chair (Research) in the Department of Computing and Software. He has been engaged in translational research in model-driven engineering, safety-critical systems, and software engineering for over 25 years, and most recently has been deploying model-driven engineering techniques in the automotive domain for supporting principled change management of software and assurance. He is on the editorial boards of Software and Systems Modeling and the JOT Journal, has served as PC chair of numerous conferences, including ACM/IEEE MoDELS and ACM SLE, and has edited nine special issues for SoSyM, Formal Aspects of Computing, the Journal of Systems Architecture, Science of Computer Programming, and the JOT Journal.

Paula Muñoz

University of Málaga, Spain

paulam@uma.es

Paula is a Ph.D. candidate at the University of Málaga (Spain). She graduated in Software Engineering from the University of Málaga in June 2019. Her research focuses on the precise specification and testing of software systems using models. Currently, her Ph.D. work revolves around the specification and validation of digital twins, measuring the fidelity of the digital replica against the real system.