Last updated: Sep 2011

Antoniya Georgieva
Post-doctoral Research Fellow

BSc, Applied Mathematics (2004)
PhD, Stochastic Methods and Genetic Algorithms for Neural Networks Training (2007)

Current Position Research Interests Teaching Publications Awards Memberships

Contact Details:

Nuffield Department of Obstetrics & Gynaecology
University of Oxford
Level 3, Women's Centre
John Radcliffe Hospital
Oxford OX3 9DU, UK

tel. +44(0)1865 740 887
e-mail: Antoniya.Georgieva@obs-gyn.ox.ac.uk

Current Position: I am the Scientific Director of the Oxford Centre for Fetal Monitoring Technologies based in the Nuffield Department of Obstetrics and Gynaecology(NDOG). We work in tight collaboration with the Institute of Biomedical Engineering.

My main interests lay in the development of evidence-based computerised methods to monitor childbirth and improve clinical outcomes. This is novel and only possible because of a unique database available in Oxford (more details for our data). The goals are: (a) early detection of babies at risk of intrauterine asphyxia – a preventable cause of brain damage, and (b) reduction of the number of unnecessary interventions. I work closely with the Clinical Director of the Centre - Prof. Chris Redman (Emeritus Professor in Obstetrics & Gynaecology).

The priority of the Oxford Centre for Fetal Monitoring Technologies is to pioneer a real-time prototype for intrapartum CTG analysis similar to its antepartum analogue - System 8000, developed in NDOG earlier by Prof Dawes and Prof Redman in the 1980-90s and produced by our industrial partner Huntleigh Healthcare. Several slides presenting the problem at hand can be seen here.

Research Interests:

· Fetal health: heart rate analyses, acid status analyses, labour outcome measures.

· Biomedical Engineering: patient monitoring and diagnostic tools.

· Artificial Intelligence: signal and image processing, machine learning and classification.

· Data Analysis: feature extraction, dimension reduction, data transforms, distance metric learning, regression.

· Global Optimisation: evolutionary algorithms, meta-heuristics, hybrid methods, low-discrepancy sequences.

Teaching and Supervision:

2011 - 2014: Mr. Liang Xu, DPhil Student on pattern recognition and classification for labour fetal heart rate analyses, 1st Supervisor.

2011 - 2014: Mr. Alex Clibbon, DPhil Student on time series analyses for labour fetal heart rate classification, 2nd Supervisor.

2012 - Mr. James Williams, 4th Year Project on bivariate PRSA applied to labour fetal heart rate monitoring, 2nd Supervisor.

2012 - Mr. Charles Hardwick, 4th Year Project on spectral analysis for labour fetal heart rate analyses, 1st Supervisor.

2010 - Mr. Henry Mariott, 4th Year Project on the differences between Maternal and Fetal heart rates in labour, 2nd Supervisor.

· 2009 - 2011

Demonstrator in Computational Methods, Dep. of Engineering Science, University of Oxford, UK.

· 2005 – 2007

Tutor in Object Oriented Programming with Java; Advanced Programming and Data Structures, School of Computing, University of Portsmouth, UK.

· 2003 – 2004

Tutor in Numerical Mathematics with the use of Maple and Matlab, Institute of Applied Mathematics and Informatics, Technical University, Sofia, Bulgaria.

· 2002 – 2003

Tutor in Mathematics for engineers (advanced), International Department, Technical University, Karlsruhe, Germany.

· Various

Private one-to-one lessons in Mathematics or Programming (Sofia, Bulgaria).

Tutor during several one-day sessions organised by ‘UP For It’ at Portsmouth University aiming to create interest in Mathematics among pupils.

Publications:

Journal:

Georgieva A., Payne S.J., Moulden M. and Redman C.W.G., Relation of fetal heart rate signals with un-assignable baseline to poor neonatal state at birth, Medical & Biological Engineering & Computing (In Press).

Georgieva A., Payne S.J., Moulden M. and Redman C.W.G., Computerized fetal heart rate analysis in labor: detection of segments with uncertain baseline,Physiological Measurement 32(10): 1549-60, 2011.

Georgieva A., Payne S.J., Moulden M. and Redman C.W.G., Neural networks applied for fetal monitoring in labour and prediction of outcome, Neural Computing and Applications, Special Issue on Contemporary Development of Neural Computation and Applications (In Press).

Petrov N., Georgieva A., and Jordanov I., Self-organizing maps for texture classification, Neural Computing and Applications (In Press).

Georgieva A., Payne S.J., and Redman C.W.G., Computerised electronic fetal heart rate monitoring in labour: automated contraction identification, Medical & Biological Engineering & Computing 47, no. 12, pp. 1315-20, 2009, IF = 1.757.

Georgieva A., Jordanov I., A hybrid meta-heuristic for global optimisation using low-discrepancy sequences of points, Computers and Operations Research - special issue on hybrid metaheuristics 37, no. 3, 2010. (View online), IF = 2.116.

Georgieva A., Jordanov I., Global Optimization based on novel heuristics, low-discrepancy sequences and genetic algorithms, European Journal of Operational Research 196, pp. 413-422, 2009, IF = 2.093.

Georgieva A., Jordanov I., Intelligent visual recognition classification of cork tiles with neural networks, Transactions on Neural Networks, 20, no. 4, pp. 675-685, 2009, IF = 2.889.

Jordanov I.,Georgieva A., Neural network learning with global heuristic search., Transactions on Neural Networks 18, no. 3, pp. 937-942, 2007, IF = 2.889.

Arnaoudov Ya., Georgieva A., Venkov G., Scattering of a plane acoustic wave from a rigid small torus, C. R. Acad. Bulgare Sci. 58, no. 7, pp 753-760, 2005.

Book Chapter:

Georgieva A., Jordanov I., Supervised learning with hybrid global optimisation methods. Case study: automated recognition and classification of cork tiles. In: Theory and Novel Applications of Machine Learning, ISBN 978-953-7619-55-4, IN-TECH Education and Publishing, 2009 (View online).

Selected conference papers:

Georgieva A., Payne S.J., Moulden M. and Redman C.W.G., Computerized intrapartum electronic fetal monitoring: analysis of the decision to deliver for fetal distress, Proc. IEEE EMBC, Boston, USA, 2011.

Georgieva A., Payne S.J., Moulden M. and Redman C.W.G., Automated fetal heart rate analysis in labor: decelerations and overshoots, Proc. 36^th Int. Conf on Application of Mathematics in Engineering and Economics, Sozopol, Bulgaria, 2010.

Georgieva A., Jordanov I., Rafik T., Neural Networks Applied for Cork Tiles Image Classification, Proc. IEEE Symposium on Computational Intelligence in Image and Signal Processing, USA, 2007.

Georgieva A., Jordanov I., Supervised Neural Network Training with a Hybrid Global Optimization Technique, IEEE World Congress on Computational Intelligence, Canada, pp 6433-40, 2006 (View Abstract).

Georgieva A., Jordanov I., A Hybrid Heuristic Method for Global Optimization, Proc. HIS 2005 IEEE Computer Society, pp 503-505, 2005 (View Abstract).

Arnaoudov Ya., Georgieva A., Venkov G., The penetrable spheroid with a soft confocal core within a plane wave acoustic propagation. Proc. 30th Jub.Int. Conference AMEE'04-Sozopol, 2004.

Work in progress:

Georgieva A. and Redman C.W.G., Umbilical cord gas analyses in relation to meonatal morbidity and mortality: the EveREst plot(in preparation).

Awards:

· Research grant (3 year funding) from the Henry Smith Charity and Action Medical Research, PI: Prof Chris Redman (2011).

· Royal Academy of Engineering international travel grant (2009).

· Three-year research scholarship from the School of Computing, University of Portsmouth, UK (2004).

·  Best Graduate Student of the Department of Applied Mathematics and Informatics, Technical University of Sofia, Bulgaria (2004).

·  Erasmus Scholarship for one year study in the Technical University of Karlsruhe, Germany (2002).

·  First Place Award at the National Eastern Competition in Mathematics, Bulgaria (2000).

Memberships:

·   Member of Wolfson College, Oxford

·   Member of the Royal Institution of Great Britain

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