Aritificial Intelligence, Machine Learning, Data mining for classification, clustering, regression, prediction, pattern recognition, feature selection, etc.  

Merthods: Artificial Neural Networks; Decision Tree Induction; Expert Systems, Feature Selection Ensemble; Clustering Ensemble, Hybrid ensemble systems;

Data: numerical data and multi-mediam data including text, image, vedio, autio and time series.

Applications in healthcare, insurance, finance, accountancy, computational biology, and various business and industrial processes.

Dr. Wang joined the School of Computing Sciences (CMP), UEA, as a senior lecturer in September 2002. He and his PhD students conduct research in the areas of data mining/knowledge discovery, ensemble approach and artificial intelligence. He welcomes and encourages any potentials to contact him to discuss possible research topics.

He has been the Director of MSc in Computer Science since 2003 and the organiser for Masters Dissertation projects, and admissions officer for Overseas applications.

ueaeprints.uea.ac.uk/view/creators/wjw.html

Wenjia Wang is part of the Machine learning and statistics group

Dr Wang has been doing research in the areas of AI, Knowledge Discovery, Data Mining and Operational Research for many years. He holds the memberships of IEEE, IEEE Neural Networks Society and IEEE Computer Science Society.

His currents research interests include

• Artificial neural networks
• Decision tree induction
• Bayesian theory
• Evolutionary computing  and Genetic Algorithm
• Machine learning ensemble methodology
  • Generic ensemble: topology, diversity, and decision fusion strategies   
  • Classification ensemble
  • Clustering ensemble
  • Feature selection ensemble  
• Feature Salince Estimation and Feature Selection
• Data/text and multi-media mining applications
  • Heathcare and medical areas
  • Bioinformatics
  • Finance and insurance
  • Security and crime data
  • Sentiment and fake reviews/news identificaiton and classification
  • Citizen Sciecnes
  • Other areas  

Past Research Grants

• RSSB/RRUKA grant: "Feasibility study on developing an intelligence ensemble system for predicting and preventing train delay"

• PI: Dr. Wenjia Wang
• Team: Prof Gerard Parr(CI), Douglas Fraser(Senior RA), Mary Symons, Bradley Thompson, Ryan McDonagh
• Collaborators: Greater Anglia and Network Rail       

• EPSRC Grant: "Hybrid Artificial Intelligence Ensemble for Early Detection of Osteoposis
  • PI: Dr. Wenjia Wang - Principal Investigator(PI);
  • Team: Dr. Sarah Rae - Co-Investigator(CI), Rhumotology Consultant with Bedford Hospital; and Dr. Greame Richards (Research Fellow)
• ESRC Grant: "Identifying Relevant Factors and discovering Complex Patterns in Fuel Poverty"
  • PI: Dr. Wenjia Wang(PI),
  • Team: Professor Catherine Waddams (School of Management, UEA), Dr. Karl Brazier (Research Fellow)
• EPSRC Grant: "Feature Salience Identification and Methodological Diversity for Improved Prediction"
  • PI: Dr. Wenjia Wang(PI),
  • Team: Professor Derek Partridge (CI, Exeter University), Dr. Karl Brazier (Research Fellow), and Dr. John Etherington (Defence Service Medical Rehibilitation Centre)
              

Deputy Director of Postgraduate Research

Director of MSc Computer Science

Admissions Officer for Overseas Applications

Dr. Wang teaches a variety of units to both undergraduate and postgratuate courses, including

• Artificial Intelligence,
• Internet Technology, 
• Programming (Java) and Applications,
• Research Techniques,
• Research Methods,
• Data Mining. 

He is the organiser of MSc Dissertation unit and Research Techniques/Methods units.

Website: http://www.cmp.uea.ac.uk/~wjw/

Follow this link for details of current PhD opportunities in Computing Sciences. But feel free to email me to discuss projects outside these areas and alternative sources of funding.