About Me

I am currently pursuing my PhD degree in
Electrical Engineering and
Computer Sciences at the University of California, Berkeley,
under the supervision of Prof. Martin Wainwright. In March 2013, I obtained a
master's degree from the Statistics department. Prior to that, in
summer of 2007, i received my B.Sc. degree in Electrical Engineering from the
Sharif University of Technology. 
Research Interests

My research interest is primarily
in statistical signal processing,
machine learning, graphical models, and optimization.
More specifically, I have been working on theoretically sound,
lowcomplexity alternatives to some well known data inference algorithms
such as belief propagation and gossip type averaging.

Publications

 Nima Noorshams, and Martin J. Wainwright, "Stochastic Belief Propagation: A LowComplexity
Alternative to the SumProduct Algorithm''. IEEE Transaction on Information Theory, 59(4):19812000,
April 2013. arxiv, PDF.
 Nima Noorshams, and Martin J. Wainwright, "Belief
Propagation for Continuous State Spaces: Stochastic MessagePassing
with Quantitative Guarantees''. Submitted to the Journal of Machine
Learning Research, December 2012. arxiv, PDF.
 Nima Noorshams, and Martin J. Wainwright, "Quantized Stochastic Belief Propagation: Efficient
MessagePassing for Continuous State Spaces''. In proceedings of the
IEEE International Symposium on Information Theory, July 2012. PDF.

Nima Noorshams, and Martin J. Wainwright, "NonAsymptotic Analysis of an Optimal Algorithm for
NetworkConstrained Averaging With Noisy Links''. IEEE Journal of Selected Topics in Signal
Processing, 5(4):833844, August 2011. arxiv, PDF.

Nima Noorshams, and Martin J. Wainwright, "Stochastic Belief Propagation: LowComplexity
MessagePassing with Guarantees''. In proceedings of the 49th Annual Allerton Conference on Communication,
Control, and Computing, September 2011. PDF.

Sameer Pawar, Nima Noorshams, Salim El Rouayheb, and Kannan Ramchandran, "DRESS Codes for the Storage Cloud: Simple
Randomized Constructions''. In proceedings of the IEEE International Symposium on Information
Theory, August 2011. PDF.

Nima Noorshams, and Martin J. Wainwright, "Lossy Source Coding with Sparse Graph Codes: A Variational Formulation of
Soft Decimation''. In proceedings of the 48th Annual Allerton Conference on Communication,
Control, and Computing, September 2010. PDF.

Nima Noorshams, and Martin J. Wainwright, "A NearOptimal Algorithm for NetworkConstrained Averaging with Noisy
Links''. In proceedings of the IEEE International Symposium on Information Theory, June 2010. PDF.

Nima Noorshams, Mehdi Malboubi, and Ahmad Bahai, "Centralized and Decentralized Cooperative Spectrum Sensing in
Cognitive Radio Networks: A Novel Approach''. In proceedings of the 11th IEEE International Workshop on Signal
Processing Advances in Wireless Communications, June 2010. PDF.

Nima Noorshams, Massoud BabaieZadeh, and Christian Jutten, "Estimating the Mixing Matrix in Sparse Component Analysis
Based on Converting a Multiple Dominant to a Single Dominant Problem''. In proceedings of the 7th International
Conference on Independent Component Analysis and Signal Separation, September 2007. PDF.

Work/Teaching Experiences

 Interim engineering intern, Qualcomm New Jersey research center systems group, summer 2012.
 Graduate student instructor for the course signals and systems at the University of California Berkeley, Spring 2011.
 Graduate student instructor for the course probability and random processes at the University of California Berkeley, Spring 2009.
 Teaching assistant for the course discretetime signal processing at Sharif University of Technology, Spring 2006.

Courses

 Electrical engineering: Random Processes in Systems, Linear System Theory, Convex Optimization, Information Theory, Error Control Coding,
Fundamentals of Wireless Communications, Neural Computations, Applied Stochastic Processes.
 Statistics: Statistical Learning Theory, Advanced Topics in Learning and Decision Making, Probability and Measure Theory (A & B),
Theoretical Statistics (A & B), Statistical inference in High Dimensions.

Invited Talks

 "Stochastic Belief Propagation: LowComplexity MessagePassing with Guarantees'',
talk at Asilomar Conference on Signal, Systems, and Computers, November 2011.
