Saeid Asgari

 

Contact information

Email: s[dot]asgari[at]iaumajlesi[dot]ac[dot]ir

Education

IAU-Majlesi

M.Sc. in mechatronics,human machine interface

2009 - 2011

Department of Electrical and mechatronic engineering. First rank student in department and university with honor ,GPA 19.33 of 20. Currently he focuses on medical image processing under supervision of Dr. Mohsen Ashourian, Dr. Behzad Zamani and Dr. Sayed Ali Mousavi.

IAU-SHK

B.Sc. in Computer engineering, software

2011 - 2013

Department of Computer engineering. in this university he researched on pattern recognition specially in feature transformation and feature reduction methods under supervision of Dr. Behzad Zamani.

Research Interests

Machine vision (medical image processing, medical image classification, image segmentation and etc.), Pattern recognition(feature extraction, feature transformation and feature selection), Data mining, Soft computing(neural networks, etc.) fuzzy logic and multi objective evolutionary optimization(GA, PSO, etc.)

Publication

  • S. Asgari, M.R. Ansari,B. Zamani and S.A. Mousavi. "Nonlinear Feature Transformation and Genetic Feature Selection: Improving System Security and Decrease Computational Cost;]," ETRI Journal, vol.34, no.6,2012,pp.847-857. http://dx.doi.org/10.4218/etrij.12.1812.0032

 

  • S. Asgari, B. Zamani, A.hatam, B. Bahraminejad," Synthetic Feature Transformation with RBF neural network to improve the Intrusion Detection System Accuracy and Decrease Computational Costs," International Journal of Information and Network Security(IJINS),no.1,2012, pp.28-36.

 

  • S. Asgari, B. Zamani, M. Ashourian, " Classifier Based Genetic Feature Selection with Fuzzy Entropy Analysis of Transformed Features," Information Sciences, (under review) 2013.

 

  • S. Asgari, B. Zamani, M. Ashourian, " Genetic Support Vector Machine: Numerical Parameters Prediction for Friction stir welding of Aluminum plates," Materials & Designs, (under review) 2013.

 

  • S. Asgari, M. Ashourian, B. Zamani, S. A. Mousavi, "Mammogram Classification by Polygon Extraction of Important Areas of Images and Feature Reduction by Multi Objective Optimized Auto Encoder," , (in progress for IEEE Transaction on medical Image Processing) 2013.

 

  • S. Asgari, S. A. Mousavi, A. Hatam, M. A. Ansari, "Intrusion Detection System for Major Oil and Gas Industrial Networks using Synthetic Neural network and Genetic Algorithm," International Conference of Oil, Gas, Petrochemical and Power plant, Tehran, Iran, 2012, (in Farsi).