My research is in the area of machine learning and statistical modeling with applications in social computation and social networks, where I design scalable algorithms for analyzing large data sets. I have worked on a fast method, called Graphlets, for decomposing large social networks into interpretable components. My current research focuses on designing scalable algorithms for analyzing rank data in applications such as social choice, voting, demand estimation, crowdsourcing and recommender systems.

** Revisiting Random Utility Models**, PhD Dissertation, 2014, Harvard University

(pdf)
Hossein Azari Soufiani, Denis J. Charles,

David M. Chickering,

David C. Parkes ** Approximating the Shapley Value via Multi-Issue Decomposition**,

*Accepted in Proceedings of the 13th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2014)*.

(pdf)
Hossein Azari Soufiani,

David C. Parkes,

Lirong Xia,

**Computing Parametric Ranking Models via
Rank-Breaking**,

*Accepted for Proceedings of the International Conference on Machine Learning (ICML 2014), Beijing, China.* (pdf) (R-Code)
Hossein Azari Soufiani,

William Chen ,

David C. Parkes,

Lirong Xia ,

**Generalized Method-of-Moments for Rank Aggregation
**,

*Proceedings of the Annual Conference on Neural Information Processing Systems (NIPS 2013), Lake Tahoe, Nevada, USA.* (pdf) (R-Code)

Hossein Azari Soufiani,

Hansheng Diao ,

Zhenyu Lai,

David C. Parkes,

**Generalized Random Utility Models with Multiple Types
**,

*Proceedings of the Annual Conference on Neural Information Processing Systems (NIPS 2013), Lake Tahoe, Nevada, USA.* (pdf) (Supplementry)

Hossein Azari Soufiani,

David C. Parkes,

Lirong Xia,

**Preference Elicitation For General Random Utility Models**,

*Proceedings of the 29th Conference on Uncertainty in Artificial Intelligence (UAI 2013), Bellevue, Washington, USA. * (pdf) (Poster)

Hossein Azari Soufiani,

David C. Parkes,

Lirong Xia,

**Random Utility Theory for Social Choice**,

*Proceedings of the Annual Conference on Neural Information Processing Systems (NIPS 2012), pp. 126-134, Lake Tahoe, Nevada, USA.* (pdf) (arXiv version) (Poster) (R-Code)
Sasha Goodman ,

David Lazer ,

Edoardo M. Airoldi and Hossein Azari Soufiani,

**Tracing the Invisible Networks of US Politics, ** at the 33rd Annual Sunbelt Social Network Conference of the International Network for Social Network Analysis, Hamburg, Germany, May 2013.

Hossein Azari Soufiani,

Edoardo M. Airoldi,

**Graphlets Decomposition of a Weighted Network**,

*Journal of Machine Learning Research, W&CP, 22 (Proceedings of the 15th Internatioanal Conference on Artificial Intelligence and Statistics AISTATS)*, 54-63. 2012.

(pdf) (arXiv version) (Poster) (R-Code) (

Recipient of the best student paper award, NESS 2012) .

Hossein Azari Soufiani, M.J. Saberian , M.A. Akhaee, R.N. Mahallati, F. Marvasti,

**Analysis
of communication systems using iterative methods based on Banach's contraction
principle**,

*Proceedings of 6th International Conference on Information, Communications and Signal
Processing*, December 2007

(pdf).

Statistical Rank Aggregation through Random Utility Models, Invited talk at

*1st annual PhD Symposium Amazon 2013*, Seattle WA

Preference Elicitation For General Random Utility Models, Poster presentation at

*ACM Conference on Electronic Commerce 2013*, Philadelphia, PA

General Random Utility Models: Computational Issues, Short talk at

*2nd Cambridge Area Economics and Computation Day CAEC 2013*, Cambridge, MA

General Random Utility Models, Poster presentation at

*NEML’13 and NESS’13*, Cambridge and Connecticut, MA

Graphlet decomposition of a weighted network, presnetation at

*NIPS 2012 Workshop: Algorithmic and Statistical Approaches for Large Social Networks*, Lake Tahoe, NV

(Slides).

Graphlets decomposition of a weighted network, Poster presented at

*WIDS@LIDS: Interdisciplinary Workshop on Information and Decision in Social Networks*, MIT, October 2012.

Random Utility for Social Choice, Poster presented at

*CAOSS 2012: Workshop on Computational and Online Social Science*, Columbia University, October 2012.

Random Utility for Social Choice, presentation at

*CS-ECON Seminar series*, Duke University, August 2012.

Graphlets decomposition of a weighted network, presentation at

*NESS 2012*, Boston University, April 2012

(Slides: 5min Presentation) .

Quantitatively Evaluating Social Disorder in Union County, SC 1850-1880 (Social Network
Analysis Approaches to Nineteenth-Century Political Structures)

*36th Annual Meeting
of the Social Science History Association*, 17-20 November, 2011.

Exploring Three Moments of Crisis in the Criminal Subculture of Union County, South
Carolina: 1856, 1859, 1870, Networks and Network Analysis for the Humanities: Reunion
Conference

*An NEH Institute for Advanced Topics in Digital Humanities*, October
20 - 22, 2011.

Graphlets: A semiparametric method for analyzing social and information networks
with edge weights,

*SAMSI Complex Networks Transition Workshop*, - June 6-7, 2011
and

*WISE (Workshop on Infusing Statistics and Engineering)* June 5-6, 2011.

Statistical Network Modeling for Humanities. Networks and Network Analysis for the
Humanities:

*An NEH Institute for Advanced Topics in Digital Humanities*, August 15
- 27, 2010.

**Harvard University, School of Engineering and Applied Sciences**
Computer Science 181. Intelligent Machines: Perception, Learning, and Uncertainty, Spring 2013 (Head TF)

Computer Science 186. Economics and Computation, Spring 2013 (Head TF)

Applied Mathematic 101. Statistical Inference for Scientists and Engineers, Fall 2012

Applied Mathematics 111. Introduction to Scientific Computing, Spring 2012

Statistics 111. Introduction to Theoretical Statistics, Spring 2012

Computer Science 281 . Advanced Machine Learning, Fall 2011

Applied Mathematics 21b. Mathematical Methods in the Sciences, Spring 2010

**Sharif University, Electrical Engineering Department**
Measurements & Instrumentation, Spring 2008

Probability and Statistics, Fall 2007

Electronics II, Fall 2007

Electrical Circuits II, Spring 2007

Electronics I, Fall 2006

Siebel Scholarship, Class of 2014.

Best student paper award, New England Statistics Symposium (NESS) 2012.

Ranked 2nd out of 190 member class of 2008, Sharif University
of Technology, 2008.

Ranked 17th in Iran Nationwide University Entrance Exam, 2004.

Microsoft Research Redmond, Machine Learning Group:

*Summer Intern* (June 2013 - August 2013)

Harvard University, School of Engineering and Applied Sciences:

*Research Assistant* (Summer 2009 - present)

UCLA, Institute for Pure and Applied Mathematics (IPAM):

* Teaching Fellow, Networks and Network Analysis for the Humanities* (Aug 2010)

AT&T Shannon Laboratory, Statistics Department:

*Summer Intern (June 2010-July 2010)*
Sharif University of Technology, Advanced Communication Research Institute:

* Research Assistant* (2006 - 2008)

Supervising a senior undergraduate student in Statistics and a Masters student in Computaitonal Science and Engineering.

Reviewed papers for: IEEE Transactions on Cybernetics, IEEE Transactions on Knowledge and Data Engineering, Statistics and Computing Journal, SODA, JMLR, ICML and AAAI.

Harvard University,

Graduate Dormitory Council :

*President* (June 2010-June 2011)

StatRank package for R project.

These are some nice papers:

Economic Choices
The Mathematization of Economic Theory
Independence of Irrelevant Alternative
Uniqueness of the Shapley Value
Expectation Maximization Algorithm
Causal Inference Using Potential Outcomes
Significance of Non-Significance