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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.