ملاك محمد عبدالله المجلي

 
Personal Profile:
 

• Name: Malak Mohammad Almojaly
• Phone: 00966118052574
• Email: malmojaly@ksu.edu.sa
• Country/City: Saudi Arabia/Riyadh

Languages:
 

• English and Arabic

Educations:
 

• M.S.  - Sep 2014: Sciences in Computer Engineering from the College of Computer & Information Sciences, King Saud University, Riyadh.

Thesis Title: Detection and classification of voice pathology using feature selection.
 

• B.S.  - Jun 2010: Information Technology from the College of Computer & Information Sciences, King Saud University, Riyadh.

Experiences:
 

• Teaching Assistant (TA) in the Department of Computer Science at the College of Computer and Information Sciences (CCIS):April 2011 ~ Current

Technical Skills:
 

• programming languages

• Java (command line and GUI), Visual Basic .NET, Matlab, Ruby, HTML, Assembly language and the ability to deal with any programming language.

• Courses taught before

• CSC111: Java Programming Language -1-
• CSC113: Java Programming Language -2-

Publications:
 

1. Malak Almojaly, Ghulam Muhammad, and Mansour Alsulaiman, “Detection and Classification of Voice Pathology Using Feature Selection,” 11th ACS/IEEE International Conference on Computer Systems and Applications, Doha, Qatar, November 10-13, 2014.
2. Ghulam Muhammad, Mansour Alsulaiman, Awais Mahmood,  Malak Almojaly, and M.A. Bencherif,  “Voice Pathology Detection using Multiresolution Technique,” 8th European Modelling Symposium (EMS2014), Pisa, Italy, October 21-23, 2014.