معرفی
Dr. Sarah Cang is a Senior Lecturer (Education) in Mathematics and Statistics at Brunel University London, within the College of Engineering, Design and Physical Sciences. She has extensive experience in both industry and academia, having worked for a leading UK software company, a UK Government Research Laboratory, Central Government Department as Senior Statistician, and at Exeter University and Bournemouth University prior to joining Brunel.
Her educational background includes:
- PhD in Applied Mathematics (UK)
- MSc in Mathematics (Distinction) (UK)
- BSc (Hons) in Mathematics (First Class) (China)
- PG Cert in Research Degree Supervision (UK)
- PG Cert in Education Practice (UK) (Fellowship of the Higher Education Academy)
- PG Cert in Computer Software (UK)
Dr. Cang's research focuses on Digital Healthcare & Wellbeing, particularly for the ageing society, promoting healthy living for senior citizens. She applies advanced techniques in Artificial Intelligence (data mining, machine learning, pattern recognition) and Big Data to address challenges in activity recognition, assistive technologies for dementia care, and tourism demand forecasting. Her work bridges mathematical statistics with real-world applications in health and tourism.
Analysis of her recent publications reveals a strong emphasis on interdisciplinary research at the intersection of healthcare technology and data science. Key trends include the development of wearable sensor systems for elderly activity monitoring, the application of machine learning for feature selection and classification in multi-sensor environments, and innovative approaches to tourism demand forecasting using copula-GARCH models and ensemble methods. Her work consistently targets improving quality of life for the elderly through technological solutions.
Her scientific achievements have been recognized with:
- World's Top 2% scientists by Stanford University (2020-present)
- Fellowship of the Higher Education Academy
Dr. Cang has supervised numerous PhD students on topics ranging from activity recognition systems for assisted living to tourism demand forecasting and robotic control. She has secured substantial research funding as Principal Investigator, including multiple EU projects such as H2020-MSCA-ITN (€2.7M), CHARMED (€2.2M), Erasmus Mundus cLINK (€2.5M), FUSION (€3.05M), SMOOTH (€0.9M), and RABOT (€310.8K), all addressing challenges in digital health tourism and elderly well-being.
She collaborates with researchers including Dr. Fang Wang, Mr. Tianhao Wang, Dr. Mayo Adetoro, Mr. Amir Ashrafi, and Dr. Zoi Krokida on projects related to digital healthcare, ageing society, and forecasting, forming a dynamic research team focused on innovative solutions for societal challenges.
