Nasa

Naser Ziaei was born in Isfahan, Iran, in 1985. He received the B.S. degree in electrical engineering from the Islamic Azad University of Naein, Iran, in 2009, and the Maseter degrees in Telecommunication, Islamic Azad University Kazerun-Branch with Grade Point A (IAK) Iran, in 2013, respectively.
In 2005, He worked as a computer technician and passive networks, and he continued to work for engineering companies until 2009 as the head of active and passive network projects and power grids and UPS. In 2009 – 2012 Manager and Co-founder in Tamtadbir Electronic, 2011- 2012 Electric and Automation engineer steel line in Azarbaijan Steel Company. He was an professor in Sama technical institute of Najafabad, department of electrical in 2014_ 2015. And he was an Professor in Payam nour University Semirom Branch, Department of Computer Science 2014-2015 Islamic Azad University Semirom Branch, Department of Electrical and Computer 2013 – present. Since December 2014, he has been with the Package and Printing Matris as head of Maintenance and Repairing 2015 – present. He wrote about 11 papers about about Intelligent vehicle systems using neural networks and biometrics and Evaluation different structures multilayer perceptron in classifying wavelet Statistical features of brain scalp potentials


Naser Ziaei et al./ Elixir Elec. Engg. Compare Wavelet statistical and power features in classification and separation of arousal signals from scalp; 73 (2014) 26225-26229
Naser Ziaei, Ali Rafiee, M. Maesoumi , Evaluation different structures multilayer perceptron in classifying wavelet Statistical features of brain scalp potentials, International Journal of Computer Science, Technical Notes, India, Volume 5, January-February 2014 Accepted
Naser Ziaei, Ali Rafiee, , M. Maesoumi, Evaluation different structures multilayer perceptron in classifying wavelet Statistical features EEG Signals from scalp, 8th symposium on Advances in Science & Technology-Commission-IV, 12 Feb 2014 Accepted Naser Ziaei, Ali Rafiee, Wavelet statistical and power features in classification and separation of arousal signals from scalp, 8th symposium on Advances in Science & Technology-Commission-IV, 12 Feb 2014 Accepted Naser Ziaei, M. Maesoumi, Wavelet statistical features in classification of EEG Signals from scalp, 8th symposium on Advances in Science & Technology-Commission-IV, 12 Feb 2014 Naser Ziaei, Ali Rafiee, Mohsen Maesoumi, compare the wavelet statistical and power features classification and separation of brain arousal signals from brain potensials, 7th National Electrical Engineering & Renewable Energy Confrence Islamic Azad University Aliabad. 26 feb 2014. Naser Ziaei , Ali Rafiee, different structures MLP Neural Network in classifying Statistical features of brain scalp potentials 7th National Electrical Engineering & Renewable Energy Confrence Islamic Azad University Aliabad. 26 feb 2014.

Repairing, making Idea,