Reza Bosagh Zadeh

As of Fall 2008 I have begun Graduate study in the School of Computer Science at Carnegie Mellon University. I did my undergrad degree at the University of Waterloo, working with Shai Ben-David. During undergrad I completed 3 internships at Google Research.

I am currently interested in Machine Learning Theory and Applications, Natural Language Processing, and Scientific Collaboration.

My research is funded by a fellowship from the National Sciences and Engineering Research Council of Canada and project funding on a National Science Foundation grant.

Currently, I am co-organizing a NIPS 2009 workshop on "Clustering: science or art? Towards principled approaches".

Research

"Clustering: science or art? Towards principled approaches" with
Shai Ben-David, Ulrike von Luxburg, Avrim Blum, Robert C. Williamson, Isabelle Guyon, Reza Bosagh Zadeh, Margareta Ackerman.
A NIPS 2009 workshop, Vancouver, Canada, December 11-12, 2009

Towards a Principled Theory of Clustering [slides]
Reza Bosagh Zadeh
In Submission.

A Uniqueness Theorem for Clustering [pdf] [slides]
Reza Bosagh Zadeh, Shai Ben-David
The 25th Annual Conference on Uncertainty in Artificial Intelligence (UAI 09), Montréal, Québec, Canada, June 2009

Building Strong Multilingual Aligned Corpora [pdf]
Reza Bosagh Zadeh
The 13th Annual Conference of the European Association for Machine Translation (EAMT 09), Barcelona, Spain, May 2009

Predicting Market-Volatility from Federal Reserve Board Meeting Minutes [pdf] [slides] [corpus]
Reza Bosagh Zadeh, Andreas Zollmann
Lab report, CMU, Pittsburgh, PA, April 2009

Unsupervised Approaches to Sequence Tagging, Morphology Induction, and Lexical Resource Acquisition [pdf] [slides] [discussion]
Reza Bosagh Zadeh, Nathan Schneider
A survey, CMU, Pittsburgh, PA, November 2008

Talks

Towards a Principled Theory of Clustering [slides]
Reza Bosagh Zadeh
Carnegie Mellon Machine Learning Lunch, Pittsburgh, PA, September 2009

A Uniqueness Theorem for Clustering [slides]
Reza Bosagh Zadeh, Shai Ben-David
Conference on Uncertainty in Artificial Intelligence (UAI 2009), Montréal, Québec, Canada, June 2009

Other stuff I did before

Morgan Stanley, Financial Engineering Intern, Jan 2008 - May 2008, Manhattan, New York
Implemented models for Credit Derivatives pricing.

Google, Research Intern, Jan 2006 - Aug 2007, Mountain View, California
Statistical Machine Translation (SMT) alignment models. Query by Humming. Language modelling for SMT.

IBM, Software Engineer Intern, May 2005 - Sep 2005, Toronto, Ontario
iSeries Development Studio team. Built plugins for Eclipse and WDSC.

University of Waterloo, Bachelor of Mathematics, Honors Computer Science, 2004 - 2008, Waterloo, Ontario
Graduated with Distinction on Dean's Honor list. Awarded several Undergraduate Research Assistantships. Major Average 92%.

Scientific Representative of Iran in London, United Kingdom, Software Engineer, 2002 - 2004, London, England
Many roles. Built core database app and website.

Useful

Generate a uniform random prefactored number in [1,n], for large n, in O(log^2(n)) primality tests: PrefactoredRandom.java.

A corpus of the Federal Open Market Committee meetings from 1967 to 2008: fomc_minutes.rar.

Links

• Machine Learning Lunch
• AI Seminar
• Theory Seminar
• International House of New York
• Waterloo ACM Programming Contests
• I am a reviewer for the Pattern Recognition Journal
• Journal of Machine Learning Research

Misc.

blog · pictures

Erdős number: 3 | Bacon number: 3 | Erdős-Bacon number: 6 [details].

Cities I have lived in:
UK: London (England) | USA: New York (NY), Pittsburgh (PA), Mountain View (CA) | Canada: Toronto, Waterloo | Iran: Tehran, Ahvaz

Order travelled. City [duration spent]:
Ahvaz [8y] → London [5y] → Tehran [2y] → London [2y] → Toronto [1y] → Waterloo [8m] → Toronto [4m] → Waterloo [4m] → Mountain View [4m] → Waterloo [4m] → Mountain View [4m] → Waterloo [4m] → Mountain View [4m] → Waterloo [4m] → New York [4m] → Waterloo [4m] → Pittsburgh [1y so far].