Dr Zina Ibrahim
Applied Intelligent Systems Lead
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BIOGRAPHY
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.
Research Interests
Knowledge-based AI systems; Temporal knowledge representation and reasoning; Machine learning; Multi-agent systems.
LATEST PUBLICATIONS
- Evaluation of the FI-Lab, a laboratory-based, automated frailty index for acute care: A multicohort study
- Hyperactivity in context: Comparing actigraphy and informant ratings across the school week
- Can laboratory test-based frailty indices contribute to frailty screening in emergency departments?
- How Deep is your Guess? A Fresh Perspective on Deep Learning for Medical Time-Series Imputation
- What can we learn from 68 000 clinical frailty scale scores? Evaluating the utility of frailty assessment in emergency departments


