Systems Engineering at Loughborough

Systems Engineering is a transdisciplinary approach that integrates all disciplines and specialty groups into a team effort, developing an innovation from concept to fully operational system.

Systems Engineering integrates business and technical needs to develop high-quality products that meets a range of requirements.

Systems Engineers use both systemic thinking (viewing the entire system) and systematic approaches (methodically analysing system components) to manage complexity effectively.

At 探花精选, we collaborate with around 40 employers, partnering with our Systems Engineering team to conduct world-class research and offer valuable industry insights for training future Systems Engineering leaders.

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Systems Engineering and Complexity

Our research focuses on developing and applying systems engineering and systems approaches to address complex problems and create solutions for a better world. In collaboration with INCOSE, we host hybrid lectures鈥攂oth in-person and online鈥攆eaturing Systems Engineering professionals to discuss the practical applications of Systems Engineering.

Learn about our Research Projects

Join our Level 7 Systems Engineering (MSc) Apprenticeship

探花精选 offers a Level 7 Systems Engineering Degree Apprenticeship, allowing employers to enhance the capabilities and performance of their future leaders. Please note that we hold information sessions for prospective apprentices every third Wednesday of the month. This webpage provides information for both employers and students.

Click here to register

Engineering Doctorate Centre in Model-Based Systems Engineering鈥�

The adoption of Model-Based Systems Engineering (MBSE) is transforming industries that handle large, complex systems. The goal is to enhance the UK鈥檚 capability and capacity for sustainable and inclusive design and integration of complex technical systems. This information is intended for Sponsors and Doctoral Candidates.

Learn about our Engineering Doctorate Centre

Systems Engineering鈥� Studentships

Each studentship provides the opportunity to apply MBSE methods, languages and tools while working with an industry partner on a real-world challenge. We plan to offer an enhanced stipend to support our EngD/PhD candidates.

Apply now for our Studentship opportunities

Meet the team

Our team also includes all our visiting Professors and Fellows.

Professor Michael Henshaw

Programme Director and Associate Dean for Teaching

Michael's research focuses on the integration and management of complex socio-technical systems. A graduate in Applied Physics, he spent 17 years working in defence and aerospace before joining Loughborough in 2006. He is Co-chair of the IEEE Systems of Systems Engineering Technical Committee.

Dr Siyuan Ji

Senior Lecturer in Systems Engineering

Dr. Ji specialises in model-based systems engineering. He currently collaborates with NWS and Nuvia on assurance case development, BT and NPL on quantum systems engineering, and Synoptix on AI-assisted MBSE.

Professor Charles Dickerson

Chair in Systems Engineering

Focusing on Systems Architectures, Charles chairs the INCOSE Systems Architectures Working Group. His previous roles include Technical Fellow at BAE Systems, Aegis Systems Engineer for Ballistic Missile Defence and Director of Architecture in the Office of the Chief Engineer for the US Navy.

Professor Roy Kalawsky

Director of Advanced VR Research Centre - The Centre for Virtual Engineering

Roy joined Loughborough in 1995 after 18 years at BAE Systems, where he was responsible for cockpit research and development across the Military Aircraft Division. His research focuses on modelling, simulation and VR, and he is Airbus/RAEng Chair Digital and Data Engineering Information Systems.

Dr Melanie King

Lecturer in Systems Engineering

Melanie has held roles in the research and design of digital products such as laboratory simulation software, integrated information systems and data architectures. She's experienced in project management and was head of Loughborough鈥檚 Centre for Engineering Design and Education.

Dr Sarogini Pease

Lecturer in Intelligent Networks

Sarogini's research focuses on AI-driven architectures using wireless networks for decision-making systems. Her work emphasises the application of machine learning and semantic technologies to support legal decision processes, particularly in complex data-driven environments.

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