Curriculum Vitae

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Name Nibal Nayef

Contact Information
Current Address and phone are not specified due to moving.

Career Objectives
Conducting world-class research in computer vision and pattern recognition.
Pursuing an academic career as a professor and having an excellent level in teaching.

Oct. 2008 – Dec. 2012
Technical University of Kaiserslautern (TU KL) - Germany
PhD (Dr. rer. nat.) in computer science (Grade: Excellent) - Image Understanding and Pattern Recognition Group (IUPR)
Thesis: Geometric-based symbol spotting and retrieval in technical line drawings.

Oct. 2004 – Jan. 2007
Jordan University of Science and Technology (JUST) - Jordan
M.Sc. in computer engineering (Grade: Excellent, GPA 90.3 %) - Full DAAD scholarship
Thesis: A Vision Based System for Arabic Sign Language Recognition at Word / phrase Levels.

Sep. 1998 – Jun. 2003
Islamic University of Gaza (IUG) - Palestine
B.Sc. in computer engineering (Grade: Excellent (First rank in class), GPA 90.13 %)
Project: Distributed Electronic Health Care System.

Work Experience (Academic and professional)

Sep. 2007 – Jul. 2008
University College of Applied Science and Technology (UCAST) - Palestine
Information Technology Department
Job title: Instructor - Role: Teaching practical computer science courses.

May 2007 – Aug. 2007

Internship at the company of "Altariq Systems and Projects" – Palestine
Job title: Software developer - Role: Developing desktop applications (in Csharp and SQL server).

Sep. 2003- Sep. 2004
Islamic University of Gaza (IUG) – Palestine
Computer Engineering Department
Job title: Teaching and Research Assistant
Role: Teaching courses labs, co-preparing new courses.

  • Very good team work skills.
  • High Organizational skills.
  • Good social interaction across different cultures.
  • Programming in Python, Matlab, C++, and Java.
  • Programming in VisualStudio.Net environment & SQL server (C#, visual C++).
  • Office software.
  • (Hardware related): Parallel programming (MPI), VHDL, ORCAD.
Research Interests
  • Pattern recognition and machine learning.
  • Graphics recognition, spotting and retrieval.
  • Hand gesture recognition / sign language recognition from images and videos.
See MyPublications.

  • Arabic (mother tongue)
  • English (excellent)
  • German (good)
Hobbies and Interests
Hiking, Traveling, Reading, Movies, Photography, Learning foreign languages.

** References and recommendations can be provided upon request.