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USD 50 /hr
Hire Dr. Ashar K.
Oman
USD 50 /hr
Consultants| Researcher| Data scientist| Statistician| Software engineer| Academic writer| Ph.D. in Computer
Profile Summary
Subject Matter Expertise
Services
Writing
Technical Writing
Research
Market Research,
Meta-Research,
Feasibility Study,
Fact Checking,
Gap Analysis,
Gray Literature Search,
Scientific and Technical Research,
Systematic Literature Review,
Secondary Data Collection
Consulting
Business Strategy Consulting,
Scientific and Technical Consulting
Data & AI
Statistical Analysis,
Algorithm Design-Non ML,
Data Visualization,
Big Data Analytics,
Text Mining & Analytics,
Data Processing,
Data Insights
Product Development
Product Validation,
Concept Development
Work Experience
Consultant
Sultan Qaboos University
January 2024 - Present ![]()
Consultant
Oman Chamber of Commerce and Industry Research Chair
September 2023 - Present
Research Fellow
Sultan Qaboos University
July 2020 - Present ![]()
Researcher/ Data scientist
Sultan Qaboos University
November 2019 - June 2020 ![]()
Researcher/ Data scientist
Remote Sensing and GIS Research Center, SQU, Oman
June 2019 - October 2019
Researcher/ Data analyst
Department of Information System/ Communication and Information Research Centre, SQU, Oman
February 2014 - May 2019
Consultant
National Centre for Innovation in Distance Education Consultant, IGNOU, New Delhi, India
March 2013 - September 2013
Subject Matter Expert
Cramster E-learning Private limited, New Delhi, India
January 2012 - February 2013
Education
Certificate in Machine Learning, (11 WeeK)
Stanford University
January 2020 - March 2020
Certificate in Artificial Intelligence (6 Weeks)
University of Helsinki
November 2019 - December 2019
Ph.D. Computer Software Eng
Department of Computer science, SQU
February 2014 - August 2018
Masters in Computer Science
Aligarh Muslim University, India
August 2008 - November 2011
BSc. (Hon) Mathematics
Aligarh Muslim University, India
August 2003 - July 2006
Certifications
- Certification details not provided.
Publications
JOURNAL ARTICLE
Asharul Islam Khan, Ali Al Badi, Mohammed Alqahtani (2025). Explainable Artificial Intelligence for Computer Vision and Quantum Machine Learning . Procedia Computer Science.
Ashraf Mishrif, Asharul Khan (2024). Non-Industrial Solar Energy Use, Barriers, and Readiness: Case Study of Oman . Energies.
Ashraf Mishrif, alessandro antimiani, Asharul Khan (2024). Examining the Contribution of Logistics and Supply Chain in Boosting Oman’s Trade Network . Economies.
Asharul Khan, Majid Al Busafi, Amjed Al Thuhli, Sajjad Siddiqui (2024). Accident and Incident Analysis in the Oil and Gas Sector Using Artificial Intelligence and Machine Learning . Procedia Computer Science.
Ashraf Mishrif, Asharul Khan (2023). Clean Energy Transition through the Sustainable Exploration and Use of Lithium in Oman: Potential and Challenges . Sustainability.
Ashraf Mishrif, Asharul Khan (2023). Clean Energy Transition through the Sustainable Exploration and Use of Lithium in Oman: Potential and Challenges . Sustainability.
Ashraf Mishrif, Asharul Khan (2023). Technology adoption as survival strategy for small and medium enterprises during COVID-19 . Journal of Innovation and Entrepreneurship.
Ashraf Mishrif, Asharul Khan (2023). An empirical investigation of COVID-19 impact on the finance and human resources of logistics and supply chain companies in Oman . Middle East Development Journal.
Afzal Husain, Asharul Islam Khan, Wasim Raza, Nabeel Al-Rawahi, Nasser Al-Azri, Abdus Samad (2023). DESIGN AND MIXING PERFORMANCE OF PASSIVE MICROMIXERS: A CRITICAL REVIEW . The Journal of Engineering Research [TJER].
asharul khan, Ashraf Mishrif, Asharul Khan(2022). Causal Analysis of Company Performance and Technology Mediation in Small and Medium Enterprises During COVID-19 . Journal of the Knowledge Economy. Springer Science and Business Media {LLC}
asharul khan, Ashraf Mishrif, Asharul Khan(2022). Causal Analysis of Company Performance and Technology Mediation in Small and Medium Enterprises During COVID-19 . Journal of the Knowledge Economy. Springer Science and Business Media {LLC}
Ali Al-Badi and Asharul Islam Khan(2022). A Sustainable Development Neural Network Model for Big Data in Smart Cities . Procedia Computer Science. 202. p. 408--413. Elsevier {BV}
asharul khan, Thrissur Krishnan, Asharul Khan, Jehad Alqurni(2022). Aggregate Production Planning and Scheduling in the Industry 4.0 Environment . Procedia Computer Science. 204. p. 784--793. Elsevier {BV}
Ali H. Al Badi and Srikrishna Madhumohan Govindaluri and Sujeet Kumar Sharma and Asharul Islam Khan(2022). Global and local perspective on the usage of mobile wallet . International Journal of Business Information Systems. 39. (4). p. 550. Inderscience Publishers
asharul khan, Eid Alotaibi, Asharul Khan(2022). Impact of Covid-19 on the Hospitality Industry and Responding to Future Pandemic through Technological Innovation . Procedia Computer Science. 204. p. 844--853. Elsevier {BV}
Ali Al-Badi and Asharul Khan and Eid-Alotaibi(2022). Perceptions of Learners and Instructors towards Artificial Intelligence in Personalized Learning . Procedia Computer Science. 201. p. 445-451.
asharul khan, Ali Al-Badi, Asharul Khan(2022). Technological Transition in Higher Education Institution in the Time of Covid-19 . Procedia Computer Science. 203. p. 157--164. Elsevier {BV}
Ashraf Mishrif and Asharul Islam Khan(2022). Shipping and Transportation Traffic of Medical and Non-Medical Goods Before and During COVID-19 in Oman . Procedia Computer Science. 201. p. 223-230.
(2020). Emerging Data Sources in Decision Making and AI . Procedia Computer Science.
(2020). Open Source Machine Learning Frameworks for Industrial Internet of Things . Procedia Computer Science.
Ali Al Badi and Asharul Khan(2020). Determining the constituents for the advancement of healthcare wearable technologies in Oman . International Journal of Electronic Healthcare. 11. (2). p. 136. Inderscience Publishers
Khan, A.I., Al-Khanjari, Z., Sarrab, M.(2019). Prioritising mobile learning application requirements . International Journal of Business Information Systems. 32. (1). p. 91-108.
(2019). Unmanned Aerial Vehicle in the Machine Learning Environment . Procedia Computer Science.
(2018). Integrated design model for mobile learning pedagogy and application . Journal of applied research and technology.
Khan, A.I., Al-Khanjari, Z., Sarrab, M.(2018). Integrated design model for mobile learning pedagogy and application . Journal of Applied Research and Technology. 16. (2). p. 146-159.
Khan, A.I., Al-Shihi, H., Al-Khanjari, Z.A., Sarrab, M.(2015). Mobile Learning (M-Learning) adoption in the Middle East: Lessons learned from the educationally advanced countries . Telematics and Informatics. 32. (4). p. 909-920.
CONFERENCE PAPER
Khan, A.I., Al-Habsi, S.(2020). Machine Learning in Computer Vision . Procedia Computer Science. 167. p. 1444-1451.
Khan, A.I., Al-Badi, A.(2020). Open Source Machine Learning Frameworks for Industrial Internet of Things . Procedia Computer Science. 170. p. 571-577.
Khan, A.I., Al-Badi, A., Al-Kindi, M.(2019). Progressive web application assessment using AHP . Procedia Computer Science. 155. p. 289-294.
Khan, A.I., Al-Mulla, Y.(2019). Unmanned aerial vehicle in the machine learning environment . Procedia Computer Science. 160. p. 46-53.
Al-Badi, A., Tarhini, A., Khan, A.I.(2018). Exploring big data governance frameworks . Procedia Computer Science. 141. p. 271-277.
Khan, A.I., Al-Badi, A.(2018). Ubiquitous Application Testing on Cloud . 2018 International Conference on Smart Computing and Electronic Enterprise, ICSCEE 2018.
Khan, A.I., Al-Khanjari, Z., Sarrab, M.(2017). Crowd sourced evaluation process for mobile learning application quality . Proceedings - 2017 2nd International Conference on Information Systems Engineering, ICISE 2017. 2017-January. p. 1-5.
Khan, A.I., Al-Khanjari, Z., Sarrab, M.(2016). Crowd sourced testing through end users for Mobile Learning application in the context of Bring Your Own Device . 7th IEEE Annual Information Technology, Electronics and Mobile Communication Conference, IEEE IEMCON 2016.
Khan, A.I., Al-Khanjari, Z., Sarrab, M., Al-Shihi, H.(2016). Generic requirements for M-Learning Software Development . 2016 International Conference on Computational Techniques in Information and Communication Technologies, ICCTICT 2016 - Proceedings. p. 192-195.
Sarrab, M., Al-Shihi, H., Khan, A.I., Sarrab, M., Al-Shihi, H., Khan, A.I.(2016). An empirical analysis of Mobile learning (M-learning) awareness and acceptance in higher education . 2015 International Conference on Computing and Network Communications, CoCoNet 2015. p. 960-963.
BOOK
Sarrab, M., Al-Shihi, H., Al-Khanjari, Z., Khan, A.I.(2017). The effects of internet and mobile experiences on mobile learning acceptance in higher education . Mobile Learning: Students' Perspectives, Applications and Challenges. p. 61-78.