School of Computing and Mathematical Sciences
Directory of experts
Select a field of expertise to see a list of research staff working in that field.
Big data integration
Big data integration seeks to combine diverse, large-scale datasets to gain comprehensive insights and make data-driven decisions in life and health sciences.
- Ashiq Anjum
- Furqan Aziz
- Artur Boronat
- Fuxiang Chen
- Rob Free
- Genovefa Kefalidou
- Daqi Liu
- Jiayan Qiu
- Bo Wang
- Huiyu Zhou
Bioinformatics
Bioinformatics is the application of computational tools to manage and analyse high-throughput biological data (genomics, proteomics, transcriptomics, etc.), facilitating the study and understanding of biological functions and disease mechanisms.
- Furqan Aziz
- Artur Boronat
- Massimo Cavallaro
- Rob Free
- Genovefa Kefalidou
- Rajeev Raman
- Bo Wang
- Zedong Zheng
- Huiyu Zhou
Biomedical imaging
AI Biomedical image analysis is the application of computer algorithms to interpret and analyse medical images, thus improving diagnostics and understanding of disease.
- Amjad Ali
- Furqan Aziz
- Artur Boronat
- Fuxiang Chen
- Paul Ledger
- Daqi Liu
- Jiayan Qiu
- Yann Savoye
- Bo Wang
- Zedong Zheng
- Huiyu Zhou
Computational modelling
Computational modelling aims to simulate biological systems, predicting behaviours and outcomes under various conditions.
- Ashiq Anjum
- Daniel Bearup
- Artur Boronat
- Massimo Cavallaro
- Marco Fasondini
- Daniel Hao
- Paul Ledger
- Alberto Paganini
- Matias Ruiz
- Huiyu Zhou
Deep learning
Deep learning uses neural networks with multiple layers or more complex architectures to analyse data, often in image and sound recognition.
- Amjad Ali
- Furqan Aziz
- Artur Boronat
- Fuxiang Chen
- Rob Free
- Fabricio Goes
- Daniel Hao
- Paul Ledger
- Daqi Liu
- Jiayan Qiu
- Yann Savoye
- Marco Volpe
- Bo Wang
- Zedong Zheng
- Huiyu Zhou
Ecological modelling
Ecological modelling seeks to understand and predict ecological dynamics, species interactions, and environmental changes.
- Daniel Bearup
- Larissa Serdukova
Explainable AI
Explainable AI uses AI systems designed to make their decisions and predictions understandable to humans, enhancing trust and transparency in healthcare.
- Furqan Aziz
- Massimo Cavallaro
- Fuxiang Chen
- Rob Free
- Genovefa Kefalidou
- Daqi Liu
- Jiayan Qiu
- Huiyu Zhou
Health data research
Health data research consists of analysing and interpreting health-related data to uncover patterns, improve patient outcomes, and inform public health policies.
- Amjad Ali
- Furqan Aziz
- Massimo Cavallaro
- Fuxiang Chen
- Rob Free
- Genovefa Kefalidou
- Daqi Liu
- Jiayan Qiu
- Bo Wang
- Huiyu Zhou
Health digital twins
Health digital twins are replicas of real-world health systems or individual patient’s organs designed to predict outcomes and personalize medical treatments.
- Amjad Ali
- Ashiq Anjum
- Artur Boronat
- Rob Free
- Daniel Hao
- Genovefa Kefalidou
- Alberto Paganini
- Matias Ruiz
- Huiyu Zhou
Infectious disease modelling
Infectious disease modelling studies diseases caused by pathogens, including their spread, control measures, and impact on public health.
- Daniel Bearup
- Massimo Cavallaro
Machine learning
Machine learning is the study and application of algorithms that allow computers to learn from and make predictions based on data, widely used in healthcare for diagnostics and treatment optimization.
- Amjad Ali
- Ashiq Anjum
- Furqan Aziz
- Artur Boronat
- Massimo Cavallaro
- Fuxiang Chen
- Rob Free
- Fabricio Goes
- Daniel Hao
- Genovefa Kefalidou
- Paul Ledger
- Daqi Liu
- Jiayan Qiu
- Rajeev Raman
- Marco Volpe
- Bo Wang
- Huiyu Zhou
Mathematical modelling
Mathematical modelling provides a description and performs predictions of biological and physical processes using mathematical equations.
- Amjad Ali
- Ashiq Anjum
- Daniel Bearup
- Massimo Cavallaro
- John Drake
- Marco Fasondini
- Daniel Hao
- Alberto Paganini
- Matias Ruiz
- Larissa Serdukova
Network analysis
Network analysis examines the relationships among entities and studies the structures arising from these recurring interactions.
- Ashiq Anjum
- Furqan Aziz
- Daniel Bearup
- Fuxiang Chen
- Huiyu Zhou
Parameter inference
Parameter inference consists of estimating the parameters of mathematical and statistical models to accurately describe biological systems and their underlying mechanisms.
- Ashiq Anjum
- Daniel Bearup
- Massimo Cavallaro
- Daniel Hao
- Paul Ledger
- Larissa Serdukova
- Bo Wang
- Huiyu Zhou
Precision health
Precision health is a healthcare approach using individual genetic, environmental, and lifestyle information for patient-tailored prevention, diagnosis, and treatment strategies.
- Ashiq Anjum
- Artur Boronat
- Massimo Cavallaro
- Rob Free
- Genovefa Kefalidou
- Bo Wang
- Huiyu Zhou
Public health
Public health is the science of protecting and improving community health through education, policy making, and research on disease prevention and health promotion.
- Massimo Cavallaro
- Genovefa Kefalidou