Dr. Reza Ebrahimpour

Professor of Cognitive Neuroscience

  • Email: rebrahimpour@srttu.edu
  • Telephone: 00982122970117
  • Fax: 00982122970033
  • Faculty of Computer Engineering
  • Artificial Intelligence

Research Interests:

Cognitive Neuroscience
Visual Neuroscience
Computational models of Vision
Decision Making
Object Recognition

Educational Background

Section university CatchDate
Electrical Engineering – Electronics Mazandaran University ۱۹۹۹
Electrical Engineering – Biomedical Engineering University of Tarbiat Modares ۲۰۰۲
  Computational Neuroscience – Artificial Intelligence Institute for Studies on Theoretical Physics and Mathematics(IPM) ۲۰۰۷

Professional Background

Caption Place Date
Head of Electronics Engineering Department Faculty of Electrical and Computer Engineering ۲۰۰۸ – ۲۰۱۲
Head of Computer Engineering Department Faculty of Electrical and Computer Engineering ۲۰۱۳ – ۲۰۱۴ 
Member of Center of Excellent of Education Shahid Rajaee University ۲۰۱۳ – now
  Dean of Faculty of Computer Engineering Shahid Rajaee University ۲۰۱۳ – now

Membership of Scientific Societies

Society place MembershipDate
Member of the Test. Iran (۲۰۰۰ – Now)
Member of the Test Iran (۲۰۰۵ – 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
Invariant object recognition is a personalized selection of invariant features in humans, not simply explained by hierarchical feed-forward vision models H Karimi-Rouzbahani, N Bagheri, R Ebrahimpour  Scientific reports ۲۰۱۷
Hard-wired feed-forward visual mechanisms of the brain compensate for affine variations in object recognition H Karimi-Rouzbahani, N Bagheri, R Ebrahimpour Neuroscience ۲۰۱۷
Prediction of Gene Co-Expression by Quantifying Heterogeneous Features Abbasali Emamjomeh, Bahram Goliaei, Javad Zahiri and Reza Ebrahimpour Current Bioinformatics ۲۰۱۵
An Evidence-Based Combining Classifier for Brain Signal Analysis Saeed reza Kheradpisheh, Abbas Nowzari-Dalini, Reza Ebrahimpour, Mohammad PLoS ONE ۲۰۱۴
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 ۲۰۱۴
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 ۲۰۱۴
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 ۲۰۱۴
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 ۲۰۱۴
The Importance of Visual Features in Generic versus Specialized Object Recognition: A Computational Study Masoud Ghodrati, Karim Rajaee, Reza Frontiers in Computational Neuroscience ۲۰۱۴
Mixture of Experts, A Literature Survey Saeed Masoudnia, Reza Ebrahimpour Artificial Intelligence Review ۲۰۱۴
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. ۲۰۱۴
Mixture of feature specified experts Saeed Reza Kheradpisheh, Fatemeh Sharifizadeh, Abbas Nowzari-Dalini, Mohammad Ganjtabesh, Reza Ebrahimpour Information Fusion ۲۰۱۴
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 ۲۰۱۴
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 ۲۰۱۴
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 ۲۰۱۴

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 ۲۱th 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
۱ Design of   Face Recognition System  Reza Ebrahimpour ۲۰۰۸-۲۰۰۹  Shahid Rajaee University
۲ Arranging simple neural networks for solving complex classification problems Reza Ebrahimpour ۲۰۰۹-۲۰۱۰  Shahid Rajaee University
۳ Ensemble Learning for Classification Reza Ebrahimpour ۲۰۱۱-۲۰۱۲
۴ Using Multiple classifier system for Biological Signal Classification Reza Ebrahimpour ۲۰۱۱-۲۰۱۲
۵ Ensemble Learning for Classification with emphasis on Diversity and Regularization Reza Ebrahimpour ۲۰۱۱-۲۰۱۲
۶ Modeling of primary visual cortex Reza Ebrahimpour ۲۰۱۳
۷ Computational-Cognitive model based on visual cortex Reza Ebrahimpour ۲۰۱۳-۲۰۱۴
۸ Object recognition based on visual cortex Reza Ebrahimpour ۲۰۱۴-۲۰۱۵
۹ Ensemble Learning for solving complex classification prolems Reza Ebrahimpour ۲۰۱۵

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