Mohammed Jaafar Al-Shammaa
Email: Mohammed.Al-Shammaa@brunel.ac.uk
Office: ML052, Michael Sterling Building
PhD Supervisor: Dr Maysam Abbod
Research Area: Artificial Intelligent Systems (AIS)
Sponsoring Organization: The Higher Committee for Education Development in Iraq
Academic Qualification:
- MSc in Control and Computer Engineering, University of Baghdad, Baghdad, Iraq.
- BSc in Computer Engineering, University of Baghdad, Baghdad, Iraq.
Research Interests: Artificial Intelligent Systems (AIS) including fuzzy logic (FL), neural networks (NN) and Neuro-fuzzy systems (NFS), Image Processing.
PhD Research:
Predicting Recurrence Risk of Bladder Cancer Using Neuro-Fuzzy Modelling
The objective of my research is to develop a prediction technique that predicts bladder cancer recurrence risk from pathological database of a large patients’ population with a sufficient prediction accuracy compared to other statistical and pathological techniques.
Bladder cancer recurrence occurs in more than 40% of patients following surgical tumor removal resulting in a weak response to chemotherapy. Neuro-Fuzzy modelling (NFM) will be used for prediction because of the non-linearity of input data (pathological data) and the complexity of the relationship between it and the output. The performance of the final model will be compared to other methods.
