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Education

PhD Degree
Time
Feb 2016 - Present
Degree
Doctor of Philosophy
University
Technische Universität Berlin [1] (Berlin/Germany)
Faculty
Institut für Mathematik
Department
Berlin International Graduate School in Model and Simulation based Research (BIMoS) [2]
Thesis Title
Compressed Sensing with Side Information
Thesis Supervisor
Prof. Dr. Gitta Kutyniok [3]
Master of Science Degree
Time
2011 - 2013
Degree
Master of Science
University
Sharif University of Technology (Tehran / Iran) [4]
Faculty
Electrical Engineering
Department
Communications
Grade Point Average (GPA)
17.05/20.0
Thesis Title
Compressed Spectrum Sensing in Cognitive Radio Networks
Thesis Supervisors
Prof. Dr. Masoumeh Nasiri-Kenari [5] and Dr. Massoud Babaie-zadeh [6]
Abstract
By exploiting the cyclostationary features, we proposed a sensing algorithm based on the entropy of the cyclic spectrum of the received signal, which works quite well in low SNR regime. Then, we generalized the proposed scheme to the cooperative Multi-antenna systems and evaluated the performance of the sensing algorithm in the various channels. Our results demonstrated that the proposed algorithm outperforms the other well-known schemes such as the energy and cyclostationary detectors, especially at the low SNR regime. Furthermore, by exploiting the compressed sensing algorithms and the sparsity feature of the received signal spectrum in wideband spectrum sensing, we proposed a proper sensing algorithm which quite well overcomes wideband sensing challenges. Finally, by exploiting both concepts, namely the cyclostationary concept and the sparsity feature, we proposed efficient entropy based sensing algorithm to deal with the two problems mentioned, and evaluated its performance. The results confirmed its superiority compared to the other traditional approaches.
 
In General, the areas which I worked on my master thesis were dealt with compressed sensing techniques in wireless communication and sensor networks for wideband sensing and dimensionality reduction of signal to decrease the number of measurements which is needed for detection. My research activities included MIMO scenarios and also a lot of compressed sensing methods in term of optimization problems for decreasing the cost of complexity. Furthermore, we proposed some methods for detecting signal in low SNR regimes that required a lot of computer programming.


Bachelor of Science Degree
Time
2007 - 2011
Degree
Bachelor of Science
University
University of Tabriz (Tabriz / Iran)
Faculty
Electrical and Computer Engineering
Department
Communications
Grade Point Average (GPA)
18.58/20.0 Ranked 1st
Thesis Title
Practical Physical Layer Network Coding for Two-Way Relay Channels Performance Analysis and Comparison
Thesis Supervisor
Dr. Javad Musavi Nia
Abstract

We first considered a network consisting of two source nodes and a single relay node. For this scenario, we investigate transmission over two, three or four time slots. We showed that the two time slot PNC scheme offers a higher maximum sum rate, but a lower sum-bit error rate (BER) than the four time slot transmission scheme for a number of practical scenarios.
 
Pre-University (College) Degree
Time
2000 - 2007
Degree
Diploma Pre-University Certificate
School
Allameh Helli, (Tehran / Iran)
Organization
National Organization for Development of Exceptional Talents (NODET)
Grade Point Average (GPA)
19.47/20.00 

 

 

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