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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, Feasibility Study, Fact Checking, Gray Literature Search, Systematic Literature Review, Secondary Data Collection
Consulting Scientific and Technical Consulting
Data & AI Statistical Analysis, Algorithm Design-Non ML, Data Visualization, Big Data Analytics
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.
Mishrif, A., & Khan, A. (2024). Do Free Trade Agreements Facilitate FDI Spillover Effects on Domestic Firms? Empirical Evidence from Oman. Economies, 12(6), 141 .
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.