Tarek M. Hamdani was born in Tunis (Tunisia) in 1979. He graduated in computer science 2001, obtained a PhD in Computer Engineering Systems in 2011. He is now assistant professor in Computer science at the University of Monastir.
His research interest includes applications of intelligent methods (neural networks, fuzzy logic, evolutionary algorithms) to pattern recognition. He focuses his research on intelligent pattern recognition, learning, analysis and intelligent control of large scale complex systems.
He is member of the editorial board of many international scientific journals (e.g. "IEEE Trans. Neural Networks", "IEEE Trans. Fuzzy Systems", "Pattern Recognition Letters", "NeuroComputing", "Neural Processing Letters", etc.).
He is an IEEE member. 

1. T. Ayedi, T.M. Hamdani, and A.M. Alimi, “MIGSOM: Multilevel Interior Growing Self-Organizing Maps for High Dimensional Data Clustering,” Neural Processing Letters, May 2012, accepted. 
2. T.M. Hamdani, M.A. Khabou, A.M. Alimi, and F. Karray, “Multi-Agent Design for Classification based on Multi-Classifiers Context in Pattern Recognition Systems,” International Journal of Control and Intelligent Systems, Vol. 39, No. 4, pp. 213-223, 2011.
   
3. T.M. Hamdani, A.M. Alimi, and M.A. Khabou, “An Iterative Method for Deciding SVM and Single Layer Neural Network Structures,” Neural Processing Letters,Volume 33, Issue 2, April 2011, Pages 171-186, DOI: 10.1007/s11063-011-9171-3.
4. T.M. Hamdani, J.M. Won, A.M. Alimi, and F. Karray, “Hierarchical Genetic Algorithm with New Evaluation Function and Bi-Coded Representation for Features Selection with Confidence Rate,” Applied Soft Computing, Volume 11, Issue 1, January 2011, Pages 2501-2509, ISSN 1568-4946, DOI: 10.1016/j.asoc.2010.08.020.
5. T.M. Hamdani, M.A. Khabou, and A.M. Alimi, “Conflict negotiation process with stress parameters control for new classifier decision fusion scheme,” in Proc. International conference IP, Comp Vision and Pattern Recognition,IPCV2010, pp. 784-787.