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خانه » معرفي اعضاي هيات علمي
ارسال شده توسط manager در تاریخ چ, 08/21/1393 - 10:04

Javad Mahmoodi

Personal:

Name: Javad Mahmoodi

Date of Birth: February, 16, 1981

Place of Birth: Kerman, Iran

Gender: Male

Marital Status: Single

Nationality: Iranian

Military services: Finish        

Education:

  • M.S. graduated: Semnan University (1999-2003)

 Thesis: Optical Music Recognition of Iranian musical notes

  • B.S. in Electrical engineering: Islamic Azad University of Kerman , IRAN(2003-2005)

Thesis: Implement LED board with C and LPT port.

  • Diploma with Math and Physics Discipline: Emam High School in Kerman.

Research interests: Image and video processing with primary emphasis on

  • object recognition
  • color image processing
  • fingerprint authentication/identification
  • face recognition
  • image enhancement
  • pattern recognition
  • motion estimation & tracking
  • texture segmentation & classification
  • digital image/video watermarking

Achievements

1. Javad Mahmoodi and Mehdi Jafari,” skew detection in music score images”, 4th Int.Conf, computer and electrical engineerng (ICCEE), Singapore pages 323-326, 2011.

2. Javad Mahmoodi and Mehdi Jafari, “skew detection and recognition of Iranian musical notes”, 8th Int.Conf, world academy of science, engineering and thechnology (ICIPACV), Phuket pages 250-253, 2012.

3. Mehdi Jafari and Javad Mahmoodi, “Automatic Tumor Classification in Brain Images Using Artificial Neural Network”, 8th Int.Conf, world academy of science, engineering and technology (ICIPACV), Phuket pages 259-264, 2012.

4. Javad Mahmoodi and Mehdi Jafari , “Two New Approaches for Skew Detection of Music Score Images Based on  Moments and Skeleton “,2th Int.Conf , Electronics, Communications, and Control (ICECC 2012), Zhoushan, China pages 3435,2012.

5. Mehdi Jafari  , Javad Mahmoodi , Reza Shafaghi “A Neural Network-based Approach for Brain Tissues Classification Using GA” , Global Journal of Science , Engineering and Technology , Issue 7 ,2013 , pp 1-7.

6. Javad Mahmoodi , Recognition of Iranian Accidental Notes based on the Zoning Feature and Hough Transform, IEEE International Conference on Signal and Image Processing Applications(ICSIPA2015),Kuala Lumpur, Malaysia. Pages 105-109.

Academic Experiences:

Visiting Instructor at Piamnoor University, (Since Fall 2008). CoursesTaught:

Electronic Circuits.( one semester)

 Electrical Circuits.

Visiting Instructor at Islamic Azad University, Kerman Branch (Since Fall 2008). Courses taught:

Electrical Circuits.

Electronic Circuits

Integrated circuit

Digital image processing

Related Skills:

  • Bascom Programming Language
  • Delphi Programming Language
  • S7 Programming Language
  • MATLAB
  • VHDL
  • Verilog
  • Microsoft Office

Language Skills

 Farsi: Native.

English: Fluent

Extra Curricular Activities:

  • Head of Electronics Department(since Spring 2008)
  • Manager of Student Affairs (since Spring 2009)
  • Head of Sama technical and vocational training college, Islamic Azad University, Kerman branch, Kerman, Iran(since (since June 2011)

 

عکس متحرک

کانال خبری دانشکده

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سخن هفته

مَنْ اصْعَدَ إ لیَ اللّهِ خالِصَ عِبادَتِهِ، اهْبَطَ اللّهُ عَزَّوَجَلَّ لَهُ افْضَلَ مَصْلَحَتِهِ.(بحار:ج 67، ص 249، ح 25)
هر کس عبادات و کارهای خود را خالصانه برای خدا انجام دهد، خداوند بهترین مصلحت ها و برکات خود را برای او تقدیر می نماید.

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