KHALID AL OMAR
 

KHALID AL OMAR

Associate Professor, Information Systems Department, Faculty of Computing and Information Technology,
King Abdualziz University.

 
 
Contact Information:
khalomar@kau.edu.sa
http://khalomar.kau.edu.sa

(2010)

Ph.D., Software Engineering

University of Bradford United Kingdom
Thesis: Adaptive, Adaptable, and Mixed-Initiative in Interactive Systems:
An Empirical Investigation
Supervisor: Prof. Dimitrios I. Rigas
 
(2005)

M.Sc., Software Engineering (with Distinction)

University of Bradford United Kingdom
Thesis: A software engineering approach to learning unified modelling
language using multimedia metaphors
Supervisor: Prof. Dimitrios I. Rigas
 
(2003)

B.Sc. Honours, Software Engineering

University of Brighton United Kingdom
 
(2000)

Higher National Degree in Software Engineering

Brighton College of Technology United Kingdom
 
(1999)

Associate degree in Electronic Technology

Jeddah Telecom College Industrial Electronics Tech, Saudi Arabia
  1. SL- 275 Java Programming
  2. Quality Standards for E-exams Design
  3. Blackboard Administrator
  4. Blackboard Learn for Academic Collaboration Essentials
  5. Blackboard Examplery Courses
  6. Blackboard Collaborate Learning Services
  7. Blackboard Certified Trainer
  8. Preparing e-Content for Special Needs
  9. Basing Leadership Skills for Best Practices
  10. Online Assessment Tools (E-Exams) & Learning Analytics
  11. National Policy and Governance on Open Educational Resources in Saudi Arabia
  12. ECHO360
  13. Teaching for the Development for Creative
2012-2021
Vice Dean of Technical affairs at the Deanship of e-Learning and Distance Education, King Abdulaziz University.
 
2018-2019
Quality & Effective Learning with Formal and Non-Formal Learning.
 
2012-2018
Supervisor of the Centre for tests of part time education and distance education students for the Qassim area in Buraidah.
 
2012-2018
Supervisor of the Centre for the tests of part time education and distance education students on the extent of the Eastern Province in Dammam.
 
2011-2012
The Chairman of E-Learning Systems and Projects Department at the Deanship of Distance Learning
 
2009-2010
Member of a program committee of Integrated Intelligent Computing (ICIIC 2010) IEEE conference
 
2003-2004
Target Programme (Academic English Graduate programme)
  • Member of the Advisory Committee for the Department of Information Systems, Faculty of Computing and Information Technology, King Abdulaziz University.
  • Member of the e-learning committee at King Abdulaziz University.
  • Member of the electronic testing committee, Deanship of e-learning and distance education at King Abdulaziz University.
  • Member of the Executive Committee of the program of tests of Part-time education (Entesab) and distance education in the regions of the Kingdom Deanship of e-learning and distance education.
  • Member of the Executive Committee of the Deanship of e-learning and distance education at King Abdulaziz University.
  • Human Computer Interaction
  • Sentiment Analysis
  • Data mining, machine learning, and Deep Learning
  • E-learning
  1. 2020, Bshaer Alwagdani, Khalid Alomar, "Increasing Student Engagement with Personalized Emails", Computer and Information Science, vol: 13, pp. 54
    DOI:10.5539/cis.v13n2p54
  2. 2019, Mona Alghamdi, Khalid Alomar, "Developing A Web Credibility Evaluation Tool Using Promethee Method", Computer And Information Science, vol: 12, pp. 46
    DOI:10.5539/cis.v12n2p46
  3. 2018, Shahad Khoja, "E-Commerce Credibility In Saudi Arabia : Consumer Perspective", Advanced Computing: An International Journal, vol: 9, pp. 01-18
    DOI: 10.5121/acij.2018.9501
  4. 2018, Hamed AL-Rubaiee, Khalid Alomar, Renxi Qiu, Dayou Li, "Tuning Of Customer Relationship Management (Crm) Via Customer Experience Management (Cem) Using Sentiment Analysis On Aspects Level", Sai The Science And Information Organization. (Ijacsa) International Journal Of Advanced Computer Science And Applications, vol: 9
    DOI: 10.14569/IJACSA.2018.090540
  5. 2018, Hamed AL-Rubaiee, Renxi Qiu, Khalid Alomar, Dayou Li, "Techniques For Improving The Labelling Process Of Sentiment Analysis In The Saudi Stock Market", Sai The Science And Information Organization. (Ijacsa) International Journal Of Advanced Computer Science And Applications, vol: 9
    DOI: 10.14569/IJACSA.2018.090307
  6. 2017, Norah Al-Malki, Khalid Alomar., Lamya Baharith, Miada Almasre, Walaa Al-Hibshi, Wedad Al- Jifry, "Data Mining Learners??? Online Interactions As Indicators Of Engagement", International Conference On Blended Learning - Riyadh, Ksa, On 21-23, Nov.
  7. 2017, Bshaer Alwagadani, Khalid Alomar, "Personalizing University Email Toward User Acceptance: An Initial Study", International Journal Of Computer Applications, vol: 160, pp. 17-23
    DOI: 10.5120/ijca2017913050
  8. 2017, Khalid Al-Omar, "Automated Usability Evaluation Of E-Learning Websites In Saudi Arabia", 5th International Conference Of Advanced Computer Science & Information Technology, pp. 01-10
    DOI: 10.5121/csit.2017.70801
  9. 2017, Khalid Alomar, "Evaluating Usability And Learnability Of Lms ???Blackboard??? Using Sus And Data Mining", Ieee.
  10. 2017, Hamed Al-Rubaiee, Khalid Alomar, "Clustering Students??? Arabic Tweets Using Different Schemes", Sai The Science And Information Organization. (Ijacsa) International Journal Of Advanced Computer Science And Applications, vol: 8
    DOI: 10.14569/IJACSA.2017.080438
  11. 2017, Khalid Al-Omar, "Evaluating The Internal And External Usability Attributes Of E-Learning Websites In Saudi Arabia", Advanced Computing: An International Journal, vol: 8, pp. 01-12
    DOI: 10.5121/acij.2017.8401
  12. 2016, , "Information Security Issues And Threats In Saudi Arabia: A Research Survey", International Journal Of Computer Science Issues, vol: 13, pp. 129-135
    DOI: 10.20943/01201606.129135
  13. 2016, Hamed AL-Rubaiee, Renxi Qiu, Khalid Alomar, Dayou Li, "Sentiment Analysis Of Arabic Tweets In E-Learning", Journal Of Computer Science, vol: 12, pp. 553-563
    DOI: 10.3844/jcssp.2016.553.563
  14. 2016, Khalid Al-Omar, "Credibility Evaluation Of Online Distance Education Websites", Sai The Science And Information Organization. (Ijacsa) International Journal Of Advanced Computer Science And Applications, vol: 7
    DOI: 10.14569/IJACSA.2016.071246
  15. 2009, Khalid Al-Omar, Dimitrios Rigas, "The Effect Of Size Of Personalised Menus On User Satisfaction",
  16. 2009, Khalid Al-Omar, Dimitrios I. Rigas, "Does The Size Of Personalized Menus Affect User Performance?", Journal Of Computer Science, vol: 5, pp. 937-947
    DOI: 10.3844/jcssp.2009.937.947
  17. 2009, Khalid Al-Omar, Dimitrios Rigas, "Comparison Of Adaptive, Adaptable And Mixed-Initiative Menus", 2009 International Conference On Cyberworlds, pp. 292-297
    DOI: 10.1109/CW.2009.29
  18. 2009, Khalid Alomar, D. I. Rigas, "Investigating The Usability Of Using Static, Adaptable, Adaptive, And Mixed-Initiative Keyboards In E-Commerce", In Proceedings Of The Saudi International Innovation Conference
  19. 2009, Khalid Alomar, D. I. Rigas, "Static, Adaptive, Adaptable, And Mixed-Initiative Approaches In Ecommerce: Controllability And Customisation", Vouliagmeni Beach Conference
  20. 2009, Khalid Alomar, D. I. Rigas, "A User Performance Evaluation Of Personalised Menus", In Proceedings Of The Second International Conference On The Applications Of Digital Information And Web Technologies, pp. 104-109
  21. 2008, Al-Omar K. and Rigas D, "An Empirical Study To Investigate The Efficiency Of Static, Adaptable, Adaptive, And Mixed-Initiative Environments In E-Commerce", In Proceedings Of Iadis International Conference On Interfaces And Human-Computer Interaction, Pp. 239-243, 25-27 July 2008, Inderscience Publishers. Iadis, Amsterdam, Netherlands , Isbn: 978-972-8924-5.
  22. 2008, Rigas D. and Al-Omar K, "A Platform For Investigating User Satisfaction For Static, Adaptable, Adaptive, And Mix-Initiative Environments In E-Commerce", In Proceedings Of The Saudi International Innovation Conference 2008, P.P. 63-67, Leeds, Uk, 978-0-9559241-2-5.
  23. 2008, , "A Platform For Investigating Effectiveness For Static, Adaptable, Adaptive, And Mixed-Initiative Environments In E-Commerce", International Conference On E-Business, pp. 191-196
    DOI: 10.5220/0001911901910196
 

Contact Informations:

khalomar@kau.edu.sa
http://khalomar.kau.edu.sa

Research ID:

 
www.researcherid.com/rid/H-2210-2018