Main research interests
Ji’s research can be summarised as advancing model-based systems engineering (MBSE) as a stepping stone toward the broader vision of digital engineering. His research is structured around three key themes:
Theme 1: Model-based Safety Assessment and Assurance. This theme addresses critical challenges in system safety engineering, particularly the identification and management of emergent behaviours—one of the most complex issues in the field. Collaborating with industry leaders such as Rolls-Royce, BAE Systems, Nuclear Waste Services, and Lancaster University, Ji is developing innovative model-based approaches to enhance safety assessment and assurance in safety-critical systems
Theme 2: Quantum Systems Engineering. A pioneering and multidisciplinary field, Quantum Systems Engineering has emerged to bridge the gap between quantum technologies and their seamless integration into classical systems for real-world applications. We have started exploiting research results from Theme 1, like Digital Assurance and Model Credibility Assurance support the development of security cases for quantum communication, in partnership with BT. We are expanding our research group, with funded PhD/EngDoc studentships working in quantum communication and quantum-enabled PNT (Positioning, Navigation, and Timing).
Theme 3: MBSE Co-Pilot. This ambitious theme explores the application of AI technologies to augment and streamline MBSE activities, such as model development and management. In partnership with Synoptix Ltd., Ji has undertaken a feasibility study, funded by Innovate UK, to investigate the potential of data analytics for model management. Future research in this area will focus on developing NLP (Natural Language Processing)-based tools to support MBSE tasks, ultimately paving the way toward realising the vision of an intelligent MBSE Co-Pilot.
Grants and contracts