Hamid Palangi

Electrical and Computer Engineering Department Email: abpxy3@r.postjobfree.com

http://ece.ubc.ca/ hamidp

The University of British Columbia

O ce: ICICS/CS X310, 2366 Main Mall

Vancouver, BC V6T 1Z4, Canada

Machine Learning and Neural Computation

Research

Interests Compressive Sensing

Image and Video Processing

Ph.D., Electrical and Computer Engineering, The University of British Columbia,Vancouver, Canada.

Education

(January 2012 - present), GPA: 93.5 / 100 via 6 credits

Advisor: Prof. Rabab K. Ward

Graduate Courses: Imaging and Estimation with Wavelets (94 / 100, rst mark), Multimedia

Systems (93 / 100, rst mark)

M.Sc., Electrical Engineering, Sharif University of Technology, Tehran, Iran. (September 2007 - January

2010), GPA: 18.01 / 20 via 43 credits

Advisor: Dr. Massoud Babaie-Zadeh

Graduate Courses: Random Processes, Digital Signal Processing, Adaptive Filters, Data Net-

works, Advanced Image Processing (20 / 20, rst mark), Digital Video Processing (20 / 20, rst

mark), Special Topics in Communications (BSS and Sparse Signal Processing), Neural Networks (20

/ 20, rst mark), Electronic Interface Circuits, Advanced Object Oriented Programming, Advanced

VLSI Design, Advanced Microprocessors, DSP Processors (20 / 20, rst mark)

Thesis: Sparse Decomposition and Mixed Transform Techniques for Signal Compression

B.Sc., Electrical Engineering, Shahid Rajaee University, Tehran, Iran, (September 2003 - September

2007), GPA: 18.54 / 20 via 151 credits

Thesis: Error reduction of a low cost GPS receiver using a new Kalman ltering algorithm for

kinematic applications

Advisor: Dr. Mohammad Hossein Refan

Selected as one of 7 students who were exempted from PhD entrance exam of Sharif University

Honors and

of Technology for Electrical Engineering, February 2011

Awards

Ranked 3rd in my M.Sc. class

Ranked 1st in my B.Sc. class

Ranked 4th in national automation M.Sc. entrance exam among about 2000 people and o ered a

scholarship by petroleum ministry, September 2007, not attended

Ranked 33th in national Electrical Engineering M.Sc. entrance exam among about 17000 people,

September 2007

A member of National Elite Institute of Iran, September 2008

As a Research Assistant in Image and Signal Processing Lab, ECE Department, The University of

Research

British Columbia, Vancouver, Canada

and Work

Experience Mainly working on Neural Computation and Compressive Sensing

As a Research Assistant in Digital Signal Processing (DSP) Lab, Sharif University of Technology,

Tehran, Iran

Mainly working on Sparse Decomposition and Mixed Transform Techniques for Signal

Compression

As a Research Assistant in Institute for Research in Fundamental Sciences (IPM), School of Cognitive

Sciences, Tehran, Iran (September 2009 to March 2010)

Mainly working on brain inspired neural mechanisms used in object and face recognition

II

Hamid Palangi

As a Research Assistant in Adaptive Signal Processing Lab, Shahid Rajaee University, Tehran, Iran

Mainly working on A Uni ed Approach to Adaptive Filter Algorithms and their mean square

performance analysis.

As an Undergraduate Intern in MAPNA Electronic and Control Engineering and Manufacturing

Company, Fardis, Karaj, Iran, Summer 2007

Published Journal Papers:

Publication

1. M. S. E. Abadi, H. Palangi, Mean-Square Performance Analysis of the Family of Selective Partial

Update and Selective Regressor A ne Projection Algorithms, Elsevier Signal Processing, Volume

90, Issue 1, January 2010, Pages 197-206

2. H. Palangi, M. H. Refan, Error Reduction of a Low Cost GPS Receiver for Kinematic Applications

Based on a New Kalman Filtering Algorithm, International Journal of Innovative Computing,

Information and Control (IJICIC), Vol.6, No.8, August 2010, Pages 3775-3786

3. M. S. E. Abadi, H. Palangi, A Uni ed Approach to Set-Membership and Selective Partial Update

Adaptive Filtering Algorithms, International Journal of Information and Communication Technol-

ogy (a journal published by Iran Telecommunication Research Center (ITRC)), Vol. 2, No. 2, July

2010, Pages 61-70

Conference Papers:

4. H. Palangi, A. Ghafari, M. Babaie-Zadeh, C. Jutten, Image Coding and Compression with Sparse

3D Discrete Cosine Transform, Lecture Notes In Computer Science; Vol. 5441, Proceedings of the

8th International Conference on Independent Component Analysis and Signal Separation, Paraty,

Brazil, 2009, Pages 532-539

5. H. Palangi, S. Kasaei, Fast and Robust Multi-Frame Super-Resolution Using Inhibition Principle,

ICDT, Fourth International Conference on Digital Telecommunications, France, 2009, Pages 82-87

6. A. Ghafari, H. Palangi, M. Babaie-Zadeh, C. Jutten, ECG Denoising and Compression by Sparse

2D Separable Transform with Over Complete Mixed Dictionaries, IEEE International Workshop

on Machine Learning for Signal Processing, Grenoble, France, 2009, Pages 1-6

Sharif University of Technology as a Teaching Assistant in:

Teaching

Experience Computer Architecture (Undergraduate Course, Fall 2011), Computer Architecture Lab

(Undergraduate Course, Fall 2011), Advanced Digital Signal Processing(Graduate Course,Spring

2009), Digital Video Processing(Graduate Course,Fall 2009), Pulse and Digital Circuits

(Undergraduate Course,Spring 2009), Introduction to Electrical Engineering(Undergraduate

Course,Spring 2009)

Shahid Rajaee University as a Teaching Assistant in:

Electromagnetics(Undergraduate Course,Fall 2005 and Fall 2006), Electronic Circuits I(Undergraduate

Course,Fall 2005), Electronic Circuits II(Undergraduate Course,Spring 2005), Linear Control

Systems(Undergraduate Course,Spring 2007)

Projects and Reports:

Projects,

Reports Exploiting Probabilistic Joint Sparsity in Distributed Compressive Sensing: I got the

and Presen- rst mark for this project in EOSC513 course at UBC (Design and implementation in MATLAB)

tations

Coarse Grain Quality Scalable High E ciency Video Coding (HEVC): Group project, we

got the rst mark for this project in EECE541 course at UBC (Design and implementation in C++,

we worked thoroughly on HM5 source code in this project)

Robust and Fast Multi-frame Image Super Resolution with Inhibition Principle (Design and imple-

mentation in MATLAB)

Clustering of up to 100 sources of information without any primary knowledge of the number of

sources or features for huge amount of data (Design and implementation in C++)

Mixed transform techniques for image compression (Design and implementation in MATLAB)

Cichocki Neural networks to solve ill-posed linear system of equations (Design and implementation

in MATLAB SIMULINK)

III

Hamid Palangi

A thorough experimental study about error of various generations of GPS satellites and developing

a thorough MATLAB toolbox for an improved OEM electronic board data analysis (as part of my

B.Sc. project)

Implementation of a real time sound stretching algorithm on Texas Instrument TMS320C6416 DSP

processor (as my DSP Processors course project)

Presentations:

On Structured Compressive Sensing, presented in the course EOSC513, March 2012

On Coarse Grain Quality Scalable High E ciency Video Coding (HEVC), presented in the course

EECE541, April 2012

On Sparse Decomposition and Mixed Transform Techniques for Signal Compression (M.Sc. Thesis

Defense), January 2010

A new Kalman ltering algorithm for GPS positioning for kinematic applications (B.Sc. Thesis

Presentation), September 2007

A new approach based on inhibition principle and Cichocki neural network for over determined

scenario of Super Resolution problem (as my Advanced Image Processing course project), March

2009

Neural Networks for Solving Linear System of Equations and their Analog Implementation (Neural

Networks course project), December 2008

Programming: C++, MATLAB, Familiar with Data Structures and Algorithms, Verilog

Skills

Engineering Software/Simulator: NS2, NS3, OPNET, OrCAD PSpice, Hspice, LEDIT, Modelsim,

MATLAB

Standards: HEVC/H.265 Encoder and Decoder HM (in C++)

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