My Research

This website serves as an entry point to the main research I have conducted during my academic years.

Tutorials

• Omid's Machine Learning tutorial
  This tutorial gives an introductory overview of what Machine Learning is all about
• Omid's Logistic Regression tutorial
  This tutorial explains how Logistic Regression can be used in the field of Machine Learning

Publications

• Algorithms for Fast Large Scale Data Mining Using Logistic Regression
  Presented at the IEEE Symposium on Computational Intelligence and Data Mining conference, 1-5 April 2007.
• Omid Rouhani's master thesis
  Thesis title: Analysis, Theory and Design of Logistic Regression Classifiers Used for Very Large Scale Data Mining
• Leveraging Wikipedia to build a Concept Network
  Presented at the Yahoo! Tech Pulse conference, San Jose, 30 September - 1 October 2008.
• Generating, Ranking and Clustering Entity Relationships Leveraging Wikipedia
  Presented at the Yahoo! Tech Pulse conference, San Jose, 30 September - 1 October 2009.
• Surface Form Resolution Based on Wikipedia
  Presented at the Yahoo! Tech Pulse conference, Santa Clara, 12 October - 14 October 2010.
• Resolving Surface Forms to Wikipedia Topics
  23rd International Conference on Computational Linguistics (Coling 2010), Beijing, August 2010.

Patents

• Method For Fast Large Scale Data Mining Using Logistic Regression (2007)
  Logistic Regression research conducted at Microsoft Corp.
• System For Resolving Entities In Text Into Real World Objects Using Context (2008)
  Research conducted at Yahoo! inc.
• System For Automatically Categorizing Queries (2009)
  Research conducted at Yahoo! inc.
• Leveraging an Informational Resource for Doing Disambiguation (2009)
  Research conducted at Yahoo! inc.
• System For Transforming Queries Using Object Identification (2009)
  Research conducted at Yahoo! inc.

Here you can find contact information.
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