Welcome to Javad Rahimipour Anaraki’s Homepage



Brief Biography:

Currently pursuing Ph.D at the Department of Computer Science, Memorial University of Newfoundland, and supervised by Prof. Samet, Prof. Banzhaf and Prof. Usefi.

I received Master degree from the Department of Computer Engineering at Shahid Bahonar University of Kerman under the supervision of Prof. Eftekhari and Prof. Mohammadi.

I am member of eHealth Research Unit, and our current projects are here.


Research interests:

·      Feature and Sample Selection

·      Privacy-Preserving Data Mining

·      Genetic Programming



·      Anaraki, J. R., Samet, S., Banzhaf, W., & Eftekhari, M. (2016). A New Fuzzy-Rough Hybrid Merit to Feature Selection. In Transactions on Rough Sets XX (pp. 1-23). Springer Berlin Heidelberg

·      Anaraki, J. R., SadeghiBoroujerdi, A., Bozorgi, A., Samet, S., HearMe: An Automated Transcripts, Sign Language, and Keywords Generator, e-Health Annual Conference & Tradeshow, Vancouver, BC, 2016

·      Anaraki, J. R., Samet, S., Lee, J. H., & Ahn, C. W. (2015). SUFFUSE: Simultaneous Fuzzy-Rough Feature-Sample Selection. Journal of Advances in Information Technology Vol, 6(3)

·      Anaraki, J. R., Privacy Preserving Feature Selection, 12th Annual Computer Science and Scientific Computing Student Research Forum, Memorial University, St. John's, 2015

·      Anaraki, J. R., Eftekhari, M., & Ahn, C. W. (2015). Novel Improvements on the Fuzzy-Rough QuickReduct Algorithm. IEICE TRANSACTIONS on Information and Systems, 98(2), 453-456

·      Anaraki, J. R., Ahn, C. W., Fuzzy-Rough Sample Selection, 4th International Workshop on Computer Science and Engineering (WCSE), Dubai, pages: 22-29, 2014

·      Lee, J. H., Anaraki, J. R., Ahn, C. W., & An, J. (2015). Efficient classification system based on Fuzzy–Rough Feature Selection and Multitree Genetic Programming for intension pattern recognition using brain signal. Expert Systems with Applications, 42(3), 1644-1651

·      Anaraki, J. R., & Eftekhari, M. (2013, May). Rough set based feature selection: a review. In Information and Knowledge Technology (IKT), 2013 5th Conference on (pp. 301-306). IEEE

·      Robati, A., Barani, G. A., Pour, H. N. A., Fadaee, M. J., & Anaraki, J. R. P. (2012). Balanced fuzzy particle swarm optimization. Applied Mathematical Modelling, 36(5), 2169-2177

·      Kamyab, S., Eftekhari, M., & Anaraki, J. R. (2012, May). A novel rough set based dissimilarity measure and its application in multimodal optimization. In Artificial Intelligence and Signal Processing (AISP), 2012 16th CSI International Symposium on (pp. 180-185). IEEE

·      Anaraki, J. R., & Eftekhari, M. (2011, May). Improving fuzzy-rough quick reduct for feature selection. In 2011 19th Iranian Conference on Electrical Engineering (pp. 1-6). IEEE

·      Anaraki, J. R., Nezam Abadi-pour, H. (2011, May). An Improved ACO Based Edge Detection, In 2011 19th Iranian Conference on Electrical Engineering (pp. 2173-2178). IEEE (in Persian)


Contact information:

Department of Computer Science

Memorial University of Newfoundland

St. John's, NL, A1B 3X5 Canada

Office: EN-1044C

Tel: +1 (709) 864-2457

Email: jra066 [AT] mun [DOT] ca


I am also on LinkedIn, Google Scholar, Flickr, and YouTube.