Arman Afrasiyabi

Arman Afrasiyabi
Ph.D. Student
>> Curriculum Vitae ( Download CV )

>> New
Under supervision of Dr. Christian Gagné -(starting in May, 2017)
Computer Vision and Systems Laboratoy (CVSL)
Electrical Engineering and Computer Engineering Department
Université Laval
Quebec City (Quebec) G1V 0A6, Canada

E-mail: arman.afrasiyabi.1@ulaval.ca

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Under supervision of Dr. Fatos T. Yarman Vural -(on leave)
Image Processing and Pattern Recognition Laboratory
Department of Computer Engineering
Middle East Technical University
06800 Çankaya,Ankara, Turkey
E-mail: afrasiyabi.arman@metu.edu.tr

EDUCATION

>> 2017- Ph.D. Electrical Engineering and Computer Engineering Department, Université Laval
Advisor: Christian Gagné (starting in May, 2017)

>> 2015-2016 Ph.D. Department of Computer Engineering, Middle East Technical University
Advisor: Fatos T. Yarman Vural (two years of course load)

>> 2013-2015 MSc. Dept. of Biomedical Engineering, Middle East Technical University
Advisor: Fatos T. Yarman Vural

>> 2012-2013 Sci.Prep. Dept. of Biomedical Engineering, Middle East Technical University

>> 2004-2009 B.Sc. Dept. of Computer Engineering, IAU-Shabestar

RESEARCH INTERESTS

>> Machine Learning, Deep Learning and Pattern Recognition

>> Data Science

>> Representation Learning

>> Computer Vision

>> Transfer Learning

RESEARCH PROJECTS

>> 2017-2020 Mitacs Project (@ CVSL) "Novel Approaches for Practical Machine Learning", starting in May, 2017

>> 2015-2016 Tubitak Project 1003 - 114E045 : "Multi-layered Cognitive Learning Model"

>> 2014-2015 Tubitak Project 112E315 : "Local Voxel Networks for Modeling and Classification of Brain Activity During Cognitive Processing, Using Brain Signals"

Publications

>> A. Afrasiyabi, O. Yildiz, B. Nasir, F. T. Yarman Vural, A. E. Cetin. "Energy Saving Additive Neural Network",arXiv:1702.02676, 2017. link

>> A. Afrasiyabi, O. Yildiz, B. Nasir, F. T. Yarman Vural, A. E. Cetin. "Energy Efficient Additive Neural Network", submited to 25rd IEEE Conference on Signal Processing and Communications Applications (SIU), 2017.

>> A. Afrasiyabi, I. Onal and F. T. Yarman Vural. "A Sparse Temporal Mesh Model for Brain Decoding", 15 th IEEE International Conference on Cognitive Informatics and Cognitive Computing, 2016. link

>> A. Afrasiyabi, I. Onal and F. T. Yarman Vural. "Effect of Voxel Selection on Temporal Mesh Model for Brain Decoding", International Workshop on Machine Learning for Understanding the Brain, 2016. link

>> A. Afrasiyabi, F. T. Yarman Vural. "fMRG Verilerine Temel Bilesenser Analizi ve Ozyinelemeli Boyut Eliminasyonu Kullanarak Boyut Kucultme", 23rd IEEE Conference on Signal Processing and Communications Applications (SIU), 2015. link

Technical Reports & Presentations

>> Deep Neural Network for Neural Decoding, 2016-Report

>> Presentation at MLUB in June 29 , 2016

>> Voxel Selection using Constraint Satisfaction, 2016 -Report

>> Effective Connectivity of EEG data via Dynamic Bayesian Network, 2014-Report

>> Dynamic Casual Modeling(Report Voume I, II, III), 2014-Report

PROFESSIONAL EXPERIENCES

Research Assistant:

Teaching Assistant:

2016/Fall, CENG783: Deep Learning
2016/Fall, CENG564: Pattern Recognition
2016/Fall, CENG707: Data Structures and Algorithms

Programming Languages (currently using)

>> Python

>> Machine Learning (Tensorflow, Theano, Scikit Learning)

>> Matlab

>> CUDA C++ (newly started)

Languages

>> Azerbaijani (Native Speaker)

>> Persian (Native Speaker)

>> English (Fluent)

>> Turkish (Fluent)