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Roohollah Etemadi
PhD Candidate
School of Computer Science , University of Windsor
8106 Lambton Tower, 401 Sunset Avenue, Windsor, Ontario N9B 3P4. Canada
Email: etemadir at uwindsor dot ca

Bio

Roohollah Etemadi is a PhD candidate at the School of Computer Science at the University of Windsor. He is working under the supervision of Professor Jianguo Lu and Professor Yung H. Tsin. His research interests are mainly in big data analysis, social network analysis, scalable algorithms, approximation algorithms, and sampling methods. His previous research experience has been in the areas of data/web/text mining, and metaheuristic algorithms.

Recent publications

Roohollah Etemadi, Jianguo Lu. 2017. Bias Correction in Clustering Coefficient Estimation, IEEE International Conference on Big Data (BigData '17), December 2017. Boston.Data.

Roohollah Etemadi, Jianguo Lu, and Yung H. Tsin. 2016. Efficient Estimation of Triangles in Very Large Graphs. In Proceedings of the 25th ACM International on Conference on Information and Knowledge Management (CIKM '16). ACM, New York, NY, USA, 1251-1260. DOI: https://doi.org/10.1145/2983323.2983849. BibTex, Data.