Assistant Professor,
Computer Engineering Faculty,
K. N. Toosi University of Technology
Education
PhD
Software Engineering (GPA 18.7/20)
- University of Tehran, School of Electrical and Computer Engineering
- Natural language and Text Processing Laboratory of Tehran University
- PhD Thesis: A Dependency based Reordering Model for Statistical Machine Translation
- Supervisor: Dr. Heshaam Faili
- Adviser: Dr. Shahram Khadivi
M.Sc.
Artificial Intelligence (GPA 18.51/20)
- University of Isfahan, AI Department
- MS Thesis: Data quality Mining
- Supervisor: Dr. Ahmad Baraani Dastjerdi
B. Sc.
Software Engineering (GPA 17.96/20)
- Razi University
- Thesis: Design and Implementation of University Web Site by Service Oriented Programming
- Supervisor: Dr. Behzad Montazeri
Teaching
Operating Systems, Database System
Statistical Natural Language Processing, Operating Systems, Data Mining
Operating Systems, Database System
Publication
Improving Statistical Machine Translation using Syntax-based Learning-to-Rank
S,Farzi, H Faili - Digital Scholarship in the Humanities, 2015
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
Training of fuzzy neural networks via quantum-behaved particle swarm optimization and rival penalized competitive learning.
S,Farzi, Int. A. J. Inf. Technol., 9(4), pp.306-319 2012
The design of self-organizing evolved polynomial neural networks based on learnable evolution model 3.
S,Farzi, Int. A. J. Inf. Technol., 9(2), pp.124-132 2012
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
Discrete quantum-behaved particle swarm optimization for the multi-unit combinatorial auction winner determination problem
S,Farzi, Journal of Applied Sciences, 10(4), pp.291-298 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