معرفی
Antoniya Georgieva serves as Associate Professor and Group Lead for Oxford Labour Monitoring at the University of Oxford, holding joint appointments at the Big Data Institute and Nuffield Department of Women's and Reproductive Health within the Medical Sciences Division. She is also a Research Fellow at Wolfson College where she leads the Cross-disciplinary Machine Learning Cluster.
Her educational background includes a BSc(Hons) in Applied Mathematics from Technical University of Sofia (Bulgaria) and a PhD in Computer Science from Portsmouth University. She joined Oxford in 2007 for post-doctoral work and established her independent research group in 2016 after receiving a NIHR Career Development Fellowship.
Georgieva specializes in applying machine learning to intrapartum fetal monitoring, leading development of the OxSys data-driven CTG interpretation system using the world's largest birth cohort (100,000 deliveries). Her research bridges biomedical engineering, clinical obstetrics, and artificial intelligence to replace empirical CTG interpretation with quantified risk assessment.
Her recent publications demonstrate strong focus on deep learning applications for fetal heart rate analysis, adverse outcome prediction, and clinician-AI interaction frameworks. The work shows progressive refinement from foundational algorithm development (2023) to clinical implementation studies (2024-2025).
- Performer in Wellcome LEAP In-Utero programme (2022-2024)
- NIHR Product Development Award (£1.12M, 2021-2025)
- NIHR Career Development Fellowship (£559K, 2017-2021)
- EPSRC Healthcare Technologies Grant (£600K, 2021-2024)
- Norwegian HOME-study collaboration (£1.3M, 2021-2025)
Georgieva leads a multidisciplinary team developing OxSys - a real-time tablet application deployed at John Radcliffe Hospital that analyzes CTG data with clinician collaboration. Her Wolfson College cluster facilitates cross-departmental machine learning knowledge exchange while her Wellcome LEAP project pioneers novel fetal monitoring technologies to prevent stillbirth.
