Name: Jaza Faiq Gul-Mohammed
Degree: PhD
Title: Lecturer
Department: Computer Engineering
E-mail: jaza.gul_mohammed@univsul.edu.iq
Mobile: +964(0)7701440144
Publications:
Publications
-Nov. 2009 Kurdish speaker identi.cation using two techniques hybrid MFCC, Journal of Zankoy Sulaimani Part A
We implemented and compared two di.fferent techniques: Hyper Multiwalidelet transformation
and Mel-Frequency Ceptral Coe.cient (MFCC) to identify Kurdish speaker. The experiment
results showed that Hybrid technique carried more original discriminated than MFCC, and gave
better identi.cation rate.
-J. GulMohammed, W. Ammen Mahmud Al-Jaouhar, T. Jawad Abas, Jan. 2014 A generic classi.cation-based method for segmentation of nuclei in 3D images of early embryos BMC Bioinformatics.
We developed a novel generic algorithm for segmentation and classi.cation in 3D images. The
method, referred to as Parameter-free Generic Iterative Thresholding Algorithm (PAGITA).
-J. GulMohammed, I. Arganda-Carreras, P. Andrey, V. Galy, T.Boudier, April 2014 Classi.ed region-growing for 3D segmentation of packed nuclei ISBI2014
We present a new alternative for segmentation and classi.fication by merging them into one
classi.fied region-growing algorithm. The combination of region growing and machine learning
enabled us to both segment touching nuclei, and also classify them, even if their shape is changing
in a dynamic context.
Experience:
Good experience in signal processing, Pattern recognition, Classi.cation and data mining, and image analysis 3D and 4D.
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