Dr Zahraa Abdallah
PhD, BSc
Expertise
Current positions
Senior Lecturer
School of Engineering Mathematics and Technology
Contact
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Biography
My research is broadly in the areas of data stream mining, adaptive learning, and time series analysis. where my focus is on developing intelligent techniques that aim to service real-time information needs while having to function in highly dynamic and resource-constrained environments.
I received my PhD in March 2015 from Monash University, Australia. My thesis received the Mollie Holman Doctoral Medal, for best doctoral thesis completed in the faculty of information technology in 2015.
I have worked on various industrial and research projects in machine learning and applied data science. My research/industry engagement has attracted various governmental and industrial grants targeting deep analytics of data in different sectors including spectroscopy, constructions and safety, energy and smart meters, and supply chain.
Research interests
My research interests lie in data science and machine learning. I am particularly interested in analysing time series and streaming data and their applications in healthcare, climate change and smart metering.
Projects and supervisions
Research projects
The opportunities for using physiological data in AI-based closed-loop systems for young adults with T1D in the UK
Principal Investigator
Role
Co-Investigator
Description
Type 1 diabetes (T1D) is a chronic condition characterised by insufficient insulin production, necessitating insulin injections for blood glucose control [1]. Recent advancements in T1D technology are leading to the…Managing organisational unit
School for Policy StudiesDates
01/12/2023 to 01/06/2024
Publications
Selected publications
26/08/2020Co-eye
Machine Learning
Adaptive mobile activity recognition system with evolving data streams
Neurocomputing
AnyNovel: detection of novel concepts in evolving data streams
Evolving Systems
Recent publications
17/01/2025Integrating Technology into Self-Management Ecosystems
CHI '25: Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems
Interpretable Classification of Early Stage Parkinson’s Disease from EEG
AI for Health Equity and Fairness
Investigating Brain Connectivity and Regional Statistics from EEG for Early Stage Parkinson's Classification
2024 IEEE 34th International Workshop on Machine Learning for Signal Processing (MLSP)
FluxGAT: Integrating Flux Sampling with Graph Neural Networks for Unbiased Gene Essentiality Classification
Beyond Expected Patterns in Insulin Needs of People With Type 1 Diabetes
JMIRx Med
Teaching
Deputy Program Director for MSc data science 2020/21. Unit Director for EMATM0048: Software development: Programming and algorithms.
Previously, I have contributed to the development of multiple data science degrees in Australia and the UK. That includes the online Graduate Diploma in Data Science (GDDS) and the on-campus Master of Data Science (MDS) at Monash University in 2016-18, and MSc of Big data analytics, and BSc computer and data science at Birmingham City University 2018-20 .
