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.
- Discharge summary hospital course summarisation of in patient Electronic Health Record text with clinical concept guided deep pre-trained Transformer models
- The feasibility of a strategy for the remote recruitment, consenting and assessment of recent referrals: A protocol for Phase 1 of the On-Line Parent Training for the Initial Management of ADHD referrals (OPTIMA).
- Summarisation of Electronic Health Records with Clinical Concept Guidance
- Evaluating physical urban features in several mental illnesses using electronic health record data
- Assessing the feasibility of a web-based outcome measurement system in child and adolescent mental health services - myHealthE a randomised controlled feasibility pilot study