Code : 9345-350754      Created Date : Monday, January 4, 2016   Update Date : Monday, January 4, 2016    Visit : 1474

EUSIPCO 2015

The report of EUSIPCO 2015 by Dr. Bahador Makki Abadi
Application Code :
306-0215-0150
 
Created Date : Tuesday, April 7, 2015 13:42:57Update Date : Friday, December 11, 2015 00:45:03
IP Address : 2.190.202.152Submit Date : Friday, December 11, 2015 00:45:16Email : b-makkiabadi@tums.ac.ir
Personal Information
Name : Bahador
Surname : Makki Abadi
School/Research center : School of Medicine
If you choose other, please name your Research center :  
Position : Assistant professor
Tel : +98-21-64053256
Information of Congress
Title of the Congress : EUSIPCO 2015
Title of your Abstract : An efficient k-SCA based underdetermined channel identification algorithm for online applications
Destination Country : France
From : Monday, August 31, 2015
To : Friday, September 4, 2015
Abstract(Please copy/paste the abstract send to the congress) : In a sparse component analysis problem, under some nonstrict conditions on sparsity of the sources, called k-SCA, we are able to estimate both mixing system (A) and sparse sources (S) uniquely. Based on k-SCA assumptions, if each column of source matrix has at most Nx −1 nonzero component,
where Nx is the number of sensors, observed signal
lies on a hyperplane spanned by active columns of the mixing matrix. Here, we propose an efficient algorithm to recover the mixing matrix under k-SCA assumptions. Compared to the current approaches, the proposed method has advantages in two aspects. It is able to reject the outliers within subspace estimation process also detect the number
of existing subspaces automatically. Furthermore, to accelerate the process, we integrate the "subspaces clustering" and "channel clustering" stages in an online scenario to estimate the mixing matrix columns as the mixture vectors are received sequentially.
Keywords of your Abstract : Underdetermined Blind Identification,
Sparse Component Analysis (SCA), k-SCA and Subspace Clustering
Acceptance Letter : http://gsia.tums.ac.ir/images/UserFiles/24409/Forms/306/Accept_Gmail_paper1570105503.pdf
The presentation : Oral
The Cover of Abstract book : http://gsia.tums.ac.ir/images/UserFiles/24409/Forms/306/Notebook-heading.pdf
Published abstract in the abstract book with the related code : http://gsia.tums.ac.ir/images/UserFiles/24409/Forms/306/Technical-program.pdf
Where has your abstract been indexed? : Scoups
If you choose other, please name :  
The Congress Reporting Form
How many volunteers were present at the Congress? : 300
Delegates from which countries presented in the congress? : Mostly from Europe, such as Italy, Germany, Sweden, Russia, UK, USA
Were the delegates of any other organizations present in the congress? : No
If yes, please write the names of the organizations in the box :  
What were the responses to your talking points? Were specific questions or concerns raised? : There was few questions which was answered. Also, there was few suggestions o improve our algorithms.
Anyway, it was good to know the peopole who are interested to the k-SCA algorithms and its application to medicine.
If you met staff members, please list their full names & positions. : I don't Remember their names!
Please inform us if there are any follow up actions we need to talk with the members of the congress : I have tried to connect my PHD students to Dr. Sanei from the University of Surrey, UK. First action will be signing MOUs with his new Department and University. At the moment hes going to change his career and we are waiting for his confirmation to setup official collaborative works. Therefore,at the moment, There is nothing to follow up.
Your experiences about the travel processes(Providing ticket, accommodation,...) : Getting Visa was the hardest part. 
I used my friend's credit card to book hotels and transportation. But, I'm sure if I did not have acess to it, definitely it was hard to buy tickets on site.
Please give a briefing of your own observations and outcomes of the congress: : There were most of number ones of Signal Procesing (also Medical Signal Processing) attending and presenting their works and there was good oppurtunities to make and start collaborative works. I personally, started one collabrative work with a professor from University of Surrey in Brain SignalProcessing field. Also, I had discussions with the founder of Cosparsity theory to getting more familiar with the details and utilizing it on our brain signal processing research work. 
Moreover, my student also tried to be connected with a research group at France and recently he got your approval for being in their Lab for a three month period. Thank you very much for supporting him in this regard.

 

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