Dr Rolf Banziger
I am a Lecturer and Course Leader for the BEng Software Engineering programme at the University of Westminster. In my role as Course Leader, I am responsible for curriculum design and programme development, ensuring strong alignment between academic content, industry practice, and graduate employability. I completed my PhD at Westminster, where my research focused on advancing Process Mining techniques for Natural Language Event Logs, with a strong emphasis on real-world applications.
My research interests sit at the intersection of Process Mining, Data Science, and Artificial Intelligence, with applications in healthcare and business process intelligence. During my doctoral research, I collaborated with Oxleas NHS Foundation Trust, analysing Children and Adolescent Mental Health Services (CAMHS) care pathways to better understand and improve complex service delivery processes.
Before entering academia, I worked as a software engineer and consultant across a range of industries, including running my own consultancy. I designed and implemented business software solutions end-to-end, gaining extensive experience in translating organisational requirements into robust, data-driven systems.
My research lies at the intersection of artificial intelligence and business process management, with a particular focus on process mining and process intelligence. I am interested in how AI and data science methods can be used to uncover, analyse, and improve complex organisational processes, especially in settings where data is incomplete, unstructured, or text-based.
A key strand of my work explores the application of process mining to natural language data, addressing scenarios where traditional event logs are unavailable. This includes developing methods and datasets that enable process discovery and analysis from semi-structured textual sources.
