Assistant Professor,

Computer Engineering Faculty,

K. N. Toosi University of Technology

  +98-21-84062-414

 

  LinkedIn

  Download CV

  Goolge Scholar

  Research Group

I'm a faculty member of K. N. Toosi University of Technology. I enjoy working on Natural Language Processing (NLP), Intelligent Information Retrieval (IIR), Data Intensive Computing and Big Data.

Education

2010-2016

PhD

Software Engineering (GPA 18.7/20)

2004 – 2006

M.Sc.

Artificial Intelligence (GPA 18.51/20)

2000-2004

B. Sc.

Software Engineering (GPA 17.96/20)

Teaching

2015 - 2016

Operating Systems, Database System

2014 - 2015

Statistical Natural Language Processing, Operating Systems, Data Mining

2015 - 2016

Operating Systems, Database System

A syntactically informed reordering model for statistical machine translation

S,Farzi, Heshaam Faili, Shahram Khadivi, Journal of Experimental & Theoretical Artificial Intelligence 2015

A swarm-inspired re-ranker system for statistical machine translation

S,Farzi, Heshaam Faili, Computer Speech & Language, 29(1), pp.45-62 2015

Workshop: Statistical Machine Translation

S,Farzi, Heshaam Faili, 3rd National Computational linguistic Conferences2014, Tehran, Iran 2014

Using quantum-behaved particle swarm optimization for portfolio selection problem.

S,Farzi, Alireza Rayati Shavazi, Abbas Pandari, Int. A. J. Inf. Technol, 10(2), pp.111-119 2013

Workshop: machine translation, Past, Present and Future

S,Farzi, Heshaam Faili, Sharif University, Tehran, Iran 2013

A Novel Reordering Model for Statistical Machine Translation

S,Farzi, Heshaam Faili, Shahram Khadivi, Jalal Maleki, Research in Computing Science, 65(2), pp.51-64 2013

Leaf constrained minimal spanning trees solved by modified quantum-behaved particle swarm optimization

S,Farzi, Ahmad Baraani Dastjerdi, Artificial Intelligence Review, 31(1), pp.1-17 2010

Data quality measurement using data mining

S,Farzi, Ahmad Baraani Dastjerdi, International Journal of Computer Theory and Engineering, 2(1), pp.15-125 2010

Efficient job scheduling in grid computing with modified artificial fish swarm algorithm

S,Farzi, International Journal of computer theory and engineering, 1(1), pp.13-22 2009

A new approach to Polynomial Neural Networks based on Genetic algorithm

S,Farzi, 2nd International Symposium on Intelligent Distributed Computing - IDC'2008 2008

Genetic Polynomial Neural Networks

S,Farzi, International Symposium on Applied Computing and Computational Sciences 2008

Data Quality Measurement by Data mining techniques (In Persian)

S,Farzi, 11'th International CSI Computer Conference ,School of computer science , IPM, Tehran, Iran 2006

Projects

40%
PNS:Persian News Summarizer
5%
Rhtorical Structure Theory (RST) Corpus
100%
Mdad:Student Portals
100%
English-Persian Machine translator