Zina Ibrahim is an Artificial Intelligence research scientist with interest in improving people’s health. Currently, she is a Lecturer (Assistant Professor) in Computer Science for Health at the Department of Biostatistics and Health Informatics, King’s College London. Zina’s research spans theoretical foundations and applications of knowledge representation, machine learning, and multi-agent systems, specifically in biological knowledge discovery, healthcare delivery, and e-health infrastructures.
After completing a BSc (Honours) in Software Engineering in 2003, Zina’s interest in AI kick-started her academic career as she obtained her MSc (2004) and PhD (2010) in Artificial Intelligence from the University of Windsor, Canada. Zina joined Richard Dobson’s group in King’s College London a postdoctoral researcher in 2011, and has been a Lecturer since 2016.
Knowledge-based AI systems; Temporal knowledge representation and reasoning; Machine learning; Multi-agent systems.
- A Knowledge Distillation Ensemble Framework for Predicting Short- and Long-Term Hospitalization Outcomes From Electronic Health Records Data
- A Knowledge Distillation Ensemble Framework for Predicting Short- and Long-Term Hospitalization Outcomes from Electronic Health Records Data
- Estimating redundancy in clinical text
- Estimating Redundancy in Clinical Text