Dr. Reza Ebrahimpour

Associate Professor

  • Email: rebrahimpour@ sru.ac.ir
  • Telephone: 00982122970117
  • Fax: 00982122970117
  • Faculty of Computer Engineering
  • Department of Artificial Intelligance

Research Interests:

Cognitive Neuroscience
Visual Neuroscience
Decision Making
Object Recognition

Educational Background

Section university CatchDate
BS Electrical Engineering – Electronics Mazandaran University 1999
Msc Electrical Engineering – Biomedical Engineering University of Tarbiat Modares 2002
PhD Computational Neuroscience – Artificial Intelligence Institute for Studies on Theoretical Physics and Mathematics(IPM) 2007

Professional Background

Caption Place Date
Head of Electronics Engineering Department Faculty of Electrical and Computer Engineering 2008 – 2012
Head of Computer Engineering Department Faculty of Electrical and Computer Engineering 2013 – 2014
Member of Center of Excellent of Education Shahid Rajaee University 2013 – now
Dean of Faculty of Computer Engineering Shahid Rajaee University 2013 – now

Membership of Scientific Societies

Society place MembershipDate
Member of the Test. Iran (2000 – Now)
Member of the Test Iran (2005 – Now)

Referee for Journals

Caption Publisher Date
IEEE Transactions on Systems, Man, and Cybernetics–Part B: Cybernetics IEEE
Information Sciences Elsevier
Digital Signal Processing Elsevier
IET Computer Vision IEEE
Neural Computing and Applications Springer
Journal of Classification Springer
Journal of Intelligent Automation and Soft computing (AUTOSOFT) Taylor & Francis
Neural Processing Letters Springer
Journal of Medical Systems Springer
Neurocomputing Elsevier

Journal Papers

Title Authors journal publish year Comments Pdf
Prediction of Gene Co-Expression by Quantifying Heterogeneous Features Abbasali Emamjomeh, Bahram Goliaei, Javad Zahiri and Reza Ebrahimpour Current Bioinformatics year 2015
An Evidence-Based Combining Classifier for Brain Signal Analysis Saeed reza Kheradpisheh, Abbas Nowzari-Dalini, Reza Ebrahimpour, Mohammad PLoS ONE 2014
The Application of Multi-Layer Artificial Neural Networks in Speckle Reduction (Methodology) M.R. Pishgoo, M.R.N Avanaki, R. Ebrahimpour Journal of Electrical and Computer Engineering Innovations 2014
Modeling of measurement error in refractive index determination of fuel cell using neural network and genetic algorithm Saeed Olyaee; Reza Ebrahimpour; Somayeh Iranian Journal of Hydrogen and Fuel Cell 2014
Feedforward object-vision models only tolerate small image variations compared to human Masoud Ghodrati, Amirhossein Farzmahdi, Karim Rajaei, Reza Ebrahimpour, Seyed-Mahdi Khaligh-Razavi Frontiers in Computational Neuroscience 2014
The impact of the lateral geniculate nucleus and corticogeniculate interactions on efficient coding and higher-order visual object processing Sajjad Zabbah, Karim Rajaei, Amin Mirzaei, Reza Ebrahimpour, Seyed-Mahdi Khaligh-Razavi Vision Research 2014
The Importance of Visual Features in Generic versus Specialized Object Recognition: A Computational Study Masoud Ghodrati, Karim Rajaee, Reza Frontiers in Computational Neuroscience 2014
Mixture of Experts, A Literature Survey Saeed Masoudnia, Reza Ebrahimpour Artificial Intelligence Review 2014
Enhancement of Damping of Power System Oscillations through UPFC Placement based on Residue Factor and Critical Modes Davood Fateh, Ali Akbar Motie Birjandi, Reza Ebrahimpour Tabriz Journal of Electrical Eng. 2014
Mixture of feature specified experts Saeed Reza Kheradpisheh, Fatemeh Sharifizadeh, Abbas Nowzari-Dalini, Mohammad Ganjtabesh, Reza Ebrahimpour Information Fusion 2014
Using Artificial Neural Networks to Estimate the Return Sludge Rate, A Case Study of Torbat Heydarieh Fathollah Gholami-Broujeni, Reza Ebrahimpour, Amir Hassan Amirifard Wastewater Treatment Plant 2014
LocFuse: Human protein–protein interaction prediction via classifier fusion using protein localization information Javad Zahiri, Morteza Mohammad-Noori, Reza Ebrahimpour, Samaneh Saadat, Joseph H. Bozorgmehr, Tatyana Goldberg, Ali Masoudi-Nejad Genomics 2014
Predicting protein–protein interactions between human and hepatitis C virus via an ensemble learning method Abbasali Emamjomeh, Bahram Goliaei, Javad Zahiri and Reza Ebrahimpour Molecular BioSystems 2014

Conference Papers

 

Date Conference Place Title Authors PDF
September, 2015 Bernstein Conference 2015 Germany STDP based HMAX behavior in response to homogeneous and heterogeneous categories Heidari-Gorji H, Zabbah S, Akhavan M, Bagheri N, Ebrahimpour R
October, 2015 Society for Neuroscience USA Contributions of response magnitude and variability to the presaccadic enhancement of visual representations Mohammad Shams-Ahmar, Hamid Karimi, M. Parsa, Reza Ebrahimpour and Behrad Noudoost
June-July, 2014 IEEE International Symposium on Information Theory USA Capacity theorems for the Cognitive Radio Channel with confidential messages Reza Khosravi Farsani, Reza Ebrahimpour
May, 2013 21th Iranian Conference on Electrical Engineering Iran A hybrid genetic algorithm-neural network for modeling of periodic nonlinearity in three-longitudinal-mode laser heterodyne interferometer Saeed Olyaee, Reza Ebrahimpour, Somayeh Esfandeh

Research Projects

 

Title Project Leader Year Comments
1 Design of Face Recognition System Reza Ebrahimpour 2008-2009 Shahid Rajaee University
2 Arranging simple neural networks for solving complex classification problems Reza Ebrahimpour 2009-2010 Shahid Rajaee University
3 Ensemble Learning for Classification Reza Ebrahimpour 2011-2012
4 Using Multiple classifier system for Biological Signal Classification Reza Ebrahimpour 2011-2012
5 Ensemble Learning for Classification with emphasis on Diversity and Regularization Reza Ebrahimpour 2011-2012
6 Modeling of primary visual cortex Reza Ebrahimpour 2013
7 Computational-Cognitive model based on visual cortex Reza Ebrahimpour 2013-2014
8 Object recognition based on visual cortex Reza Ebrahimpour 2014-2015
9 Ensemble Learning for solving complex classification prolems Reza Ebrahimpour 2015

Books

Book TitleBook

Courses Taught

caption Section StartYear EndYear
Machine Learning Computer Engineering
Machine Vision Computer Engineering
Artificial Intelligence Computer Engineering
Neural Networks Computer Engineering
Image Processing Computer Engineering

Workshops

Time Place Title
October, 2015 Computer Engineering, SRTTU Deep Learning
October, 2015 Institute for Studies on Theoretical Physics and Mathematics(IPM) Computational Vision & Memory
February, 2016 Computer Engineering, SRTTU EEG Recording and Analysis