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Ontario Tech acknowledges the lands and people of the Mississaugas of Scugog Island First Nation.

We are thankful to be welcome on these lands in friendship. The lands we are situated on are covered by the Williams Treaties and are the traditional territory of the Mississaugas, a branch of the greater Anishinaabeg Nation, including Algonquin, Ojibway, Odawa and Pottawatomi. These lands remain home to many Indigenous nations and peoples.

We acknowledge this land out of respect for the Indigenous nations who have cared for Turtle Island, also called North America, from before the arrival of settler peoples until this day. Most importantly, we acknowledge that the history of these lands has been tainted by poor treatment and a lack of friendship with the First Nations who call them home.

This history is something we are all affected by because we are all treaty people in Canada. We all have a shared history to reflect on, and each of us is affected by this history in different ways. Our past defines our present, but if we move forward as friends and allies, then it does not have to define our future.

Learn more about Indigenous Education and Cultural Services

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Masoud Makrehchi
BSc, MSc, PhD (Waterloo)

Associate Professor

Department of Electrical, Computer and Software Engineering

Faculty of Engineering and Applied Science

Contact information

2000 Simcoe Street North
Oshawa, Ontario L1G 0C5
Office: SIRC 3385

905.721.8668 ext. 5387
905.721.3370 (fax)

masoud.makrehchi@ontariotechu.ca
http://faculty.uoit.ca/makrehchi/

Office hours:
Tuesday 14:00 - 15:00

Research topics

  • Social Computing and Human Computation
  • Mining Social Media and Social Networks
  • Text and Data Mining
  • Artificial Intelligence and Machine Learning,
  • Recommender Systems
  • Applications of Data Mining in Software Engineering

Education

  • PhD (Electrical and Computer Engineering), University of Waterloo, Canada, 2007;
  • MSc (Computer Engineering), Shiraz University, Iran, 1994; and
  • BSc (Software Engineering), Iran University of Science and Technology, Iran, 1991.

Research and expertise

Publications and presentations

  • Selected publications and presentations

    Journal publications

    • M. Makrehchi, “Taxonomy-based Document Clustering,” Journal of Digital Information Management. Vol. 9, No. 2, pp. 79--86, 2011;
    • M. Makrehchi, M. S. Kamel, “Feature Ranking Fusion for Text Classification,"  Intelligent Data Analysis Journal, To appear;
    • M. Makrehchi, M. S. Kamel, “Impact of Term Dependency and Class Imbalance on the Performance of Feature Ranking Methods for Text Classifiers,” International Journal of Pattern Recognition and Artificial Intelligence, Vol. 25, No. 7, 2011;
    • M. Makrehchi, M. S. Kamel, “An Information Theoretic Approach to Generating Fuzzy  Hypercubes for  If-Then Classifiers," Journal of Intelligent and Fuzzy Systems. Vol. 22, pp. 33--52, 2011;
    • R. A. Dara, M. Makrehchi, M.S. Kamel, “Data Partitioning in Multiple Classifier Systems,” IEEE Transactions on Knowledge and Data Engineering. Vol. 22, No. 4, pp. 508--522, 2010; 
    • M. Makrehchi, S.D. Katebi, “Design and Analysis of Multi-variable Fuzzy Control Systems," Journal of Science and Technology, Vol. 21, No. 1, pp. 95--110, 1997; and
    • S.D. Katebi,  M. Makrehchi,  “Modeling and Control of Multi-variable Fuzzy Systems," System Science Journal, Vol. 21, No. 4, pp. 5--15, 1995.

    Book chapters

    • M. Makrehchi, M. S. Kamel, “Aggressive Feature Selection by  Feature Ranking," in Computational Methods of Feature Selection,” Huan Liu and Hiroshi Motoda, Eds.; Chapman and Hall/CRC Press, pp. 313--333, 2007.

    Conferences

    • M. Makrehchi, “Social Links Recommendation by Learning Hidden Topics," 2011  ACM Conference on Recommender Systems (RecSys--2011), Chicago, IL, October 23--27, pp. 189-1962011  [acceptance rate: 22%];
    • M. Makrehchi,  “Query-relevant Document Representation for Text Clustering,” Fifth International Conference on Digital Information Management (ICDIM 2010), Thunder bay, ON, Canada, pp. 132--138, July 5--8, 2010;
    • M. Makrehchi, “Text Clustering Using Taxonomy,"  the 2008 IEEE/WIC/ACM International Conference on Web Intelligence, Sydney, Australia, Dec. 9--12, 2008  [acceptance rate: 19%];
    • M. Makrehchi, M. S. Kamel, “Automatic Extraction of Domain-Specific Stopwords from Labelled Documents," the 2008 European Conference on Information Retrieval (ECIR2008), Glasgow, Scotland, pp. 222--233, Mar. 30--Apr. 3, 2008 [acceptance rate: 23%];
    • M. Makrehchi, M. S. Kamel, “A Text Classification Framework with a Local Feature Ranking for Learning Social Networks," the 2007 IEEE International Conference on Data Mining, (ICDM 2007), Omaha, NE, USA, pp. 589--594, Oct. 28--31, 2007, [acceptance rate: 19%];
    • M. Makrehchi, M. S. Kamel, “Automatic Taxonomy Extraction Using Google and Term Dependency," the 2007 IEEE/  WIC/ACM International Conference on Web Intelligence (WI'07), Silicon Valley, CA, pp. 321--325, Nov. 2--5, 2007,  [acceptance rate: 17%];
    • M. Makrehchi, M. S. Kamel , “Learning Social Networks from Web Documents Using Support Vector Classifiers",  the 2006 IEEE/WIC/ACM International Conference on Web Intelligence, Hong Kong, pp. 88--94, Dec. 18--22, 2006, [acceptance rate: 18%];
    • M. Makrehchi, M. S. Kamel, “Learning Term Dependency Links Using Information Theoretic Inclusion Measure," the 2007 ICDM Workshop on Mining Graphs and Complex Structures (MGCS2007), Omaha, NE, USA, pp. 423--428, Oct. 28--31, 2007; 
    • M. Makrehchi, M. S. Kamel, “Combining Feature Ranking for Text Classification," the 2007 IEEE International Conference on Systems, Man and Cybernetics, Montreal, Canada, pp. 510--515, Oct. 7--10, 2007;
    • M. Makrehchi, M. S. Kamel, “Learning Social Networks Using Multiple Re-sampling Method," the 2007 IEEE International Conference on Systems, Man and Cybernetics, to be held in Montreal, Canada, pp. 406--411, Oct. 7--10, 2007;
    • M. Makrehchi, M. S. Kamel, “Building Social Networks from Web Documents: A Text Mining Approach,”  the 2nd LORNET Scientific Conference, Vancouver, BC, Canada, Nov. 14--18, 2005;
    • M. Makrehchi, M. S. Kamel, “Text Classification Using Small Number of Features," Machine Learning and Data Mining  Conference (MLDM’2005),  Leipzig, Germany, pp. 580--589, July 9--11, 2005 [acceptance rate: 29%];
    • R. A. Dara, M. Makrehchi, M. S. Kamel, “Data Partitioning Evaluation Measures for Classifier Ensembles,”  the 6th International Workshop on Multiple Classifier Systems, Seaside, CA, USA, pp. 306--315, June 13--15, 2005;
    • R. A. Dara, M. Makrehchi, M. S. Kamel, “An Information-Theoretic Measure to Evaluate Data Partitions in Multiple Classifiers," IEEE SMC-2004, The Hague, The Netherlands, pp. 4826--4831, Oct. 10--13, 2004;
    • M. Makrehchi, M. S. Kamel, “A Fuzzy Set Approach to Extracting Keywords from Abstracts," NAFIPS-IEEE Annual Meeting of the Fuzzy Information Processing, Banff, Canada, pp. 528--532, June 27--30, 2004;
    • M. Makrehchi, M. S. Kamel, “An Information Theoretic Approach to Generating Membership Functions from Real Data," NAFIPS-IEEE Annual Meeting of the Fuzzy Information Processing, Chicago, IL, USA, pp. 44--49, July 24--26, 2003;
    • M. Makrehchi, O. Basir, M. S. Kamel, “Generating Fuzzy Membership Function   Using Information Theory Measures and Genetic Algorithms,” International Fuzzy Systems Association Conference- IFSA, Istanbul, Turkey, pp. 603--610, 29 June 29--July 2, 2003;
    • M. Makrehchi, “Application of Genetic Algorithms in Fuzzy Rules Generation,” 2nd IEEE Conf. on Evolutionary Computation (EC-IEEE'95), Vol. 1, pp. 251--256, Perth, Australia, Nov. 29--Dec. 1, 1995;
    • S.D. Katebi, M. Makrehchi, “Comparative Study of Two Fuzzy Logic Control Systems Design," 3rd IEEE Conf. on Control Applications (IEEE-CCA'94), Glasgow, UK, pp. 653--658, Aug. 24--26, 1994; and
    • S.D. Katebi, M. Makrehchi, “Multi-variable Fuzzy Control Systems Design," Int. Conference on System Engineering (ICSE--94), Coventry, UK, Sept. 1994.

    Patents:

    • Prediction Using Event-based Sentiment Analysis, Aug. 2012 (US provisional patent); and
    • Systems, Methods, and Interfaces for Analyzing Conceptually-Related Portions of Text, Apr., 2012 (US patent pending).