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.
- Modeling Rare Interactions in Time Series Data Through Qualitative Change: Application to Outcome Prediction in Intensive Care Units
- On Classifying Sepsis Heterogeneity in the ICU: Insight Using Machine Learning
- Learning to self-manage by intelligent monitoring, prediction and intervention
- Efficient reuse of natural language processing models for phenotype-mention identification in free-text electronic medical records: A phenotype embedding approach
- How data science can advance mental health research