معرفی
Cristian Roman is a Senior Research Fellow at the Oxford Institute of Biomedical Engineering (IBME), University of Oxford. He leads research in biomedical signal processing and m-Health, focusing on wearable systems for clinical deterioration prediction and chronic disease management. His work integrates machine learning, mobile health applications, and real-time decision-making to support self-monitoring in conditions like hypertensive pregnancies and post-stroke care. He holds a PhD in scheduling algorithms for wireless networks and dual MSc degrees in Computer Science and Broadband Networks.
Education:
- PhD: Scheduling Algorithms for Wireless Vehicular Networks
- MSc: Computer Science
- MSc: Broadband Networks
His research interests emphasize developing wearable technologies and telemedicine solutions to improve patient outcomes. Key projects include the TASMIN5S trial for stroke/TIA blood pressure monitoring and the My Pregnancy Care Intervention for hypertensive pregnancies. He also contributed to the TrAFFIC study tracking atrial fibrillation post-intensive care and the +Stay-Active app for gestational diabetes management.
His recent work addresses pandemic-era healthcare challenges, such as rapid implementation of blood pressure monitoring during the COVID-19 pandemic. Collaborative efforts include the Physician Optimised Post-partum Hypertension (POP-HT) trial, which evaluates long-term blood pressure control strategies post-hypertensive pregnancy.
Labs & Teams: Part of the Biomedical Signal Processing & m-Health group led by Prof. Lionel Tarassenko, focusing on translational research bridging engineering and clinical needs.
