Fatimah Alqahtani
College of Engineering and Computer Sciences
Bachelor in Computer Science
Office Hours
Sunday: 12:00-14:00
Monday: 12:00-14:00
Tuesday: 8:31-12:30
Wednesday: 8:32-9:32
Thursday: 12:00-14:00

Faculty member, College of Computer Science and Information Technology

Department of Computer Science

 

EXPERIENCE

  • Course in-charge for programming 1 to Date
  • Head of the research unit in the female section at the College of Computer Science and Information Technology 2021
  • Supervisor of graduation projects for the first semester of 2021 To Date.
  • Member of the Community Service Committee at the College of Computer Science, the first semester of 2021 To Date.
  • Member of the Evaluation Committee for Graduation Projects at the College of Computer Science, the first semester of 2021 To Date.
  • Member of the Examinations and Results Committee at the College of Computer Science in 2020.
  • Dates From 14/09/2008 – To Date A lecturer at Jazan University
  • Dates From 16/10/2019 – To 17/10/2019 Participated by a presenting work in ex-ICALP19 26 Oct. 2017 Participated by a poster in ISAR/BDDA Poster Session Dates From 27/11/2014 – To 28/11/1014 Attended the ADCS 2014 conference: The 19th Australasian Document Computing Symposium
  • Dates From 06/11/2007 – To 17/03/2008 Teach Computer Science in Air Defense Secondary school (30) Dates From 02/01/2005 – To 16/02/2007 In General Directorate of Education in Jeddah

EDUCATION

  • PhD in Computer Science (Low Resource Language) – April 2014 from Royal Melbourne Institute of Technology (RMIT), Melbourne, Australia
  • Computer Science Research (Minor Thesis)- August 2014 to February 2014 from Royal Melbourne Institute of Technology (RMIT), Melbourne, Australia
  • Master of Computer Science with Distinction - July 2010 to July 2013 from Royal Melbourne Institute of Technology (RMIT), Melbourne, Australia
  • Intensive English – May 2009 to July 2010
  • Bachelor in Computer Science with Honors – 2000 to 2004 from KAAU, Jeddah, SA.

RESEARCH INTERESTES 

  •     Information Retrieval and summarization.
  •     Machine learning and deep learning.
  •     Natural Language processing with machine learning, especially for low-resource languages ​​and dialects.

EMAIL

Last Change
Wednesday 01 Rabi’ Al-Thani 1447
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