Key details
Dr Aditi Rawal
Senior Lecturer, Academic Portfolio Lead for Computer Science
Dr Aditi Rawal specialises in requirements engineering, systems analysis, software development methodologies ranging from traditional to Agile approaches and risk management within IT based projects.
For her PhD she developed a novel a non-invasive and non-destructive methodology to predicts the remaining useful life (RUL) of silk within the controlled museum environment. Her research interests lie in data analysis, and prognostic methodologies for historic artefacts in a museum environment.
Dr Rawal also holds extensive teaching experience within the domain of requirements engineering since 2001 at various Universities in London and has been awarded Senior Fellow of the Higher Education Academy (SFHEA) recently.
Responsibilities within the university
Management Roles
- Academic Portfolio Lead for Computer Science (Present)
- Assessment Officer (2020 – present)
- Short Course Coordinator (2018 – 2023)
Academic Roles
- Professional Project Management
- Requirements Management
- UG Project Supervision
Awards
- Nominated and shortlisted for the Inspirational Teaching award (Çï¿ûÊÓƵ Student led teaching awards 2019)
Recognition
- Senior Fellow of the Higher Education Authority (SFHEA)
- Certified Scrum Master (Scrum Alliance)
- Certified in DevOps Foundation (DevOps Institute)
- Certified Agile Foundation (Agile Business Consortium)
Research / Scholarly interests
- Predictive analytics for heritage conservation
- Methodologies for Prognostic Health Management (PHM) in the museum sector
Recent publications
- Rawal, A (2020) Diagnostic and Prognostic Monitoring of Silk Fade in a Museum Environment, PhD Thesis, Çï¿ûÊÓƵ.
Presentations
- Rawal, A (2020) Diagnostic and Prognostic Monitoring of Silk Fade in a Museum Environment, Çï¿ûÊÓƵ, ECR FES Network 2023
- PhD Research Finding presented to Fabric Conservator at The Wallace Collection 2021