nsharifr@cs.cmu.edu
Office: 6607 Gates Hillman Center, Carnegie Mellon University.
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Narges Sharif-Razavian
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![](narges.jpg) |
Hi, and welcome
to my webpage. I’m a fourth year PhD student in
Language Technologies Institute, and I’m working with my advisor,
Prof. Christopher
James Langmead,
on Graphical Models applied to protein structure modeling. We are
currently
working on Estimation and Inference for continuous multivariate models
of
backbone torsion angles, including nonparametric graphical models (embedded in Reproducing Kernel Hilbert Space, RKHS), time-varying multivariate Gaussian graphicl model, and
sparse von-Mises graphical
model. The next step is the analysis of these graphical models, in
particular
aiming at improving drug design application.
You can find my resume here: PDF
My
Research Interests
Graphical
Models: Kernel density estimation for graphical models, Parameter Estimation and Inference on Continuous
Multivariate Models, Network Analysis,
Applications: Protein Structure Prediction, Structural Biology, Drug Design, Gene Regulation Network Estimation, Genome-wide Association Studies,
Relevant
Courses:
10-725 Optimization
15-879 Algorithms
for Computational Structural Biology
10-810 Computational
Genomics
11-762 Languages
and Statistics II
Auditing:
Physiology, Modern Biology, Bio-Chemistry
Teaching
Assistantship
I have previously TA-ed
the Machine
Learning course,
taught by Prof. Roni Rosenfeld in Spring 2011.
I am currently TA-ing
the Algorithms for NLP
Course 11-711,
taught by Prof. Alon Lavie, Prof. Noah Smith, and Prof. Robert Frederking.
Publication
and Technical Reports
- Narges Razavian,"Continuous Graphical Models for Static and Dynamic Distributions: Application to Structural Biology" PhD thesis proposal, December 2012
- Narges Razavian, Christopher J. Langmead, "Comparing Structure Learning Methods for RKHS Embeddings of Protein Structures", accepted in NIPS workshop on the
Confluence between Kernel Methods and Graphical Models, December 2012
- Narges Razavian, Hetu Kamisetty, Christopher J. Langmead, Learning generative models of molecular dynamics, Tenth Asia Pacific Bioinformatics Conference (APBC 2012), also in BMC Genomics 2012
- Narges Razavian,
Hetu Kamisetty, Christopher Langmead, “Expectation Propagation
for von-Mises
Graphical Models”, NIPS Workshop, Machine Learning in Computational Biology, December 2012
- Narges Razavian,
Hetu Kamisetty, Christopher Langmead, “ The von Mises Graphical
Model:
Structure Learning”, NIPS Workshop on Machine Learning in Computational Biology, December 2011
- Narges Razavian,
Subhodeep Moitra, Hetu Kamisetty, Arvind Ramanathan, Christopher J.
Langmead, “Time-Varying
Gaussian Graphical Models
of Molecular Dynamics Data” Proceedings of 3DSIG 2010
Structural
Bioinformatics and Computational Biophysics, Boston, MA. July 9-10,
2010.
- Narges Razavian,
Selen Uguroglu, Andreas Zollmann. “Species
Selection for Phylogeny-Based
Motif Detection”, Computational Genomics Technical Report,
June
2009
- Narges Razavian,
Andreas Zollmann. “An
Overview of Nonparametric Bayesian
Models and Applications to Natural Language Processing”,
Languages and Statistics II project report, January 2009
- Narges Razavian,
Stephan Vogel,“Fixed
Length Word Suffix as New
Factors in Factored Statistical Machine Translation”,
ACL 2010, also presented in LTI Student Research Symposium, September 2010
- Narges Razavian,
Stephan Vogel,“The Web as a
Platform to Build Machine
Translation Resources”, International Workshop on
Intercultural
Collaboration(IWIC2008), Stanford, USA February 2009
- Narges Razavian,
Fattaneh Taghiyareh,“Embedding
Corporate Blogging System in
CRM Solutions” Information Technology: New Generations
(ITNG),
Las Vegas, USA, April 2008.
- Mostafa Keikha, Narges
Razavian, Farhad Oroumchian, Hassan Seyedrazi,“Document
Representation and Quality of
Text: An Analysis”, Survey of Text Mining: Clustering,
Classification, and Retrieval, Second Edition, Chapter 12,
pp219-232,Springer London, ISBN 978-1-84800-046-9, July 2007.
Fun little projects:
In my Social Networks class project we developed a Facebook Application called Tetris For Research.
It has about ~1300 monthly active users! Make sure to check it out Here
If you're a Farsi speaker, download my first ever (Free!) iphone app, Khayam Poems (in Farsi) from the app store, and enjoy some mind refreshing poetry.
Personal
In my free time I like to draw and paint (I’ve
taken CMU’s figure drawing class and attend the weekly Sunday
drawing session in
Fine arts building), read books, and watch documentaries and movies. I travel a
lot, and
like to try new things.
Useful Links
I'm just beginning to gather a list of links I
think might be useful one way or the other. The list is short now but
hopefully I'll add more and more stuff to it as time goes on. If you
found a particular link helpful drop me a line!
- A nice collection of Machine Learning lectures: http://videolectures.net/Top/Computer_Science/Machine_Learning/
- A very nice course on Graphical Models, taught by Prof. Eric
Xing. http://www.cs.cmu.edu/~epxing/Class/10708/
- A Farsi tagged corpus of size 2.6 million words, of daily
news and common texts. The corpus is manually POS tagged and documents
are categorized into 4300 different subjects: http://ece.ut.ac.ir/dbrg/bijankhan/
- A number of translated poems of Rumi, the great Persian poet of
13th Century. http://www.rumionfire.com/shams/index.htm
- Some cool data sets for your research: Stanford Large Network Dataset Collection, Youtube and Flickr and Digg data set , A large website full of data(Specially Twitter dataset), and lots of valuable Language(LDC) dataset
- A tutorial on Belief Propagation on Factor graphs PDF slides
- How to get your own Twitter data
- Google Map Mashup Page, mappying Iranian folk songs and cultural material to the city and location that they're related to.
- Something I've been looking for, for a while, and is not easy to find: Divan Hafez in Farsi (Hafez poems in farsi).
- Also, since many new comers have questions about coming to Pittsburgh, and I've repeated the same thing several times, I'm putting it in here: a guide to Pittsburgh so that new comers can get their answers while I can save some time... :)
Favorite Quotations
"Let the beauty of what you love be what you do". -- Rumi
"The way you think will create the reality for you" --Oprah Winfrey