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Professor Maysam Abbod

Research area(s)

Artificial Intelligence, Modelling and Optimisation

Research Interests

His main research interests are in intelligent systems for modelling, control and optimisation. Developed systems were applied to industrials and biomedical modelling, and computer control of manufacturing systems. The main research areas are: 

· Intelligent systems biomedical applications.

· Modelling and control of electrical power quality.

· Stock exchange market modelling

· Intelligent systems for credit scoring

· Intelligent hybrid modelling and control of distillation column systems.

· Time series modelling.

· Hybrid modelling techniques (multivariate/time series).

· Developments of advanced process modelling, optimisation and control strategies

· Data mining and data driven modelling techniques. 

Intelligent systems techniques includes fuzzy logic (FL), neural networks (NN), neuro-fuzzy systems (NFS), hybrid systems, genetic algorithms (GAs), genetic programming (GP), particle swarm optimisation (PSO), cellular automata (CA), non-linear Principal component analysis (PCA), support vector machine (SVM), empirical model decomposition (EMD).

Research grants and projects

Research Projects