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Professional and Research Experiences
Time | March 2015 - January 2016 |
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Title | Research Assistant to Professor Ngai-man Cheung’ Research Group |
University | Singapore University of Technology and Design (SUTD in collaboration with MIT) (Singapore) |
Faculty | Information Systems Technology and Design (ISTD) |
Research Supervisor | Professor Ngai-man Cheung |
Collaborators | In cooperation with Dr. Mohammad Rostami (University of Pennsylvania) |
Research Project Topic | Compressed Sensing (CS) under Partial Differential Equation (PDE) constraints For More information, please see the following website which is created to represent the results of one of the papers related to this topic. Diffusive Compressed Sensing for Thermal Monitoring |
Abstract | Investigating Compressed Sensing (CS) under partial differential equation (PDE) constraints. The objective was to take advantage of the instinct property of spatiotemporal sources (multidimensional signals which depend on location and change over the time, e.g. an electromagnetic field) as side information to improve the reconstruction results of classic CS. We have applied our proposed method on the novel applications such as thermal monitoring of multi-core CPU and EEG/MEG signal analysis for demonstrating the superiority of this PDE constrained CS theory compared to other traditional CS algorithms. |
Time | March 2015 - January 2016 |
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Title | Research Assistant to Professor Ngai-man Cheung’ Research Group |
University | Singapore University of Technology and Design (SUTD in collaboration with MIT) (Singapore) |
Faculty | Information Systems Technology and Design (ISTD) |
Research Supervisor | Professor Ngai-man Cheung |
Collaborators | In cooperation with Dr. Hossein Nejati (Singapore University of Technology and Design & MIT) and Dr. Mohammad Rostami (University of Pennsylvania) |
Research Project Topic | Emerging Compressed Sensing Algorithms for Brain Signal Analysis (With Focus on Solving Inverse Problems in this area such as EEG/MEG Source Localization and also Reconstruction of EEG/MEG signal from reduced number of spatiotemporal samples in compressed domain. We proposed a framework which can apply to another practical areas like thermal monitoring.) |
Abstract | We have done a deep study on the brain big data analysis. Actually, since the brain data is high dimensional, In first step, we have developed some new methods based on compresses sensing for analyzing brain mapping and imaging data and an idea to find the suitable basis function, which reduce the dimensionality and decrease the complexity cost. In next step, by merging compressed sensing algorithms with machine learning methods, we have proposed a “task-based dictionary method” for classifying brain EEG and MEG signals in a specific applications more efficiently and accurately. |
Time | 2011 - 2014 |
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Title | Research Assistant to Prof. Dr. M. Nasiri-Kenari in Wireless Research Laboratory (WRL) |
University | Sharif University of Technology (Tehran/Iran) |
Faculty | Electrical Engineering |
Research Supervisor | Prof. Dr. M. Nasiri-Kenari |
Research Project Topic | Compressed Spectrum Sensing in Cognitive Radio Networks |
Time | 2011 - 2014 |
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Title | Research Assistant to Dr. M. Babayi-zadeh in Signal Processing Laboratory (SPL) |
University | Sharif University of Technology (Tehran/Iran) |
Faculty | Electrical Engineering |
Research Supervisor | Dr. M. Babaie-zadeh |
Research Project Topic | Compressed Spectrum Sensing in Cognitive Radio Networks |
Time | 2010 - 2011 |
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Title | Research Assistant to Dr. Musavinia in Wireless Communications Research Group |
University | University of Tabriz (Tabriz/Iran) |
Faculty | Electrical and Computer Engineering |
Research Supervisor | Dr. Javad Musavinia |
Research Project Topic | Practical Physical Layer Network Coding for Two-Way Relay Channels Performance Analysis and Comparison |
Time | July 2010 - September 2010 |
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Title | Internship for Tabriz Urban Railway (U-Bahn) Organization (TURO); (Tabriz / Iran) |
University | University of Tabtiz (Tabriz/Iran) |
Faculty | Electrical and Computer Engineering |
Project Supervisor | Prof. Dr. Ali Aghagolzadeh |
Project Topic | Designing of the Tetra Networks for Railway, coverage of base stations and coverage by the effect of fading in outdoor and subway environment |