پنج شنبه 30 شهريور 1396 08:44

منوی اصلی سایت

گروه برق (الكترونيك- الكتروتكنيك)

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 در تلگرام

از کلیه دانشجویان، اساتید، کارکنان و علاقمندان دعوت می شود با پیوستن به کانال دانشکده در تلگرام از آخرین اخبار و اطلاعات  مطلع شوند.

لینک عضویت:

kermansama@

https://telegram.me/kermansama

سخن هفته

 کسی که عبادت های خالصانه خود را به سوی خدا فرستد، پروردگار بزرگ برترین مصلحت را به سویش فرو خواهد فرستاد.

"حضرت زهرا سلام الله علیها"

(بحار الانوار ، ج ۷۰، ص ۲۴۹ )