I am interested in using statistical and computational principles for
studying relational data in social computing.
Two types of commonly appearing data sets in social applications are:
I) Undirected weighted networks: We develop Graphlet decomposition for
matrices with scalable/interpretable inference.
II) Directed relations among alternatives: We develop scalable methods for
rank aggregation and social choice using random utility theory.
Hossein Azari Soufiani, David C. Parkes
, Lirong Xia
, Preference Elicitation For General Random Utility Models
, accepted for publication in Proceedings of the 29th Conference on Uncertainty in Artificial Intelligence (UAI 2013), Bellevue, Washington, USA
Hossein Azari Soufiani, David C. Parkes
, Lirong Xia
, Random Utility Theory for Social Choice: Theory and Algorithms
, Proceedings of the Annual Conference on Neural Information Processing Systems (NIPS 2012), pp. 126-134, Lake Tahoe, Nevada, USA. (pdf) (arXiv version) (R-Code)
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) (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
, Proceedings of 6th International Conference on Information, Communications and Signal
, December 2007 (pdf)
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 NEMLí13 and NESSí13
, Cambridge and Connecticut, MA
Graphlet decomposition of a weighted network, Oral presnetation at NIPS 2012 Workshop: Algorithmic and Statistical Approaches for Large Social Networks
, Lake Tahoe, NV (Slides)
Random Utility Theory for Social Choice: Theory and Algorithms, Poster presented at NIPS 2012
, Lake Tahoe, NV (Poster)
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, Oral presentation at CS-ECON Seminar series
, Duke University, August 2012.
Graphlets decomposition of a weighted network, Oral presentation at NESS 2012
, Boston University, April 2012 (Slides: 5min Presentation)
Graphlets decomposition of a weighted network, Poster presented at AIStat 2012
, Canari Islands, April 2012 (Poster)
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
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
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.
Fellowship awards for graduate studies from Harvard University and
Stanford University, 2008.
Harvard University, School of Engineering and Applied Sciences:
(Summer 2009 - present)
Harvard University, Graduate Dormitory Council:
(Jun 2010-Jun 2011)
UCLA, Institute for Pure and Applied Mathematics (IPAM):
Teaching Fellow, Networks and Network Analysis for the Humanities
AT&T Shannon Laboratory , Statistics Department:
Summer Intern (Jun 2010-July 2010)
Sharif University of Technology, Advanced Communication Research Institute:
(2006 - 2008)