The chair contributes to supporting AI research and achieving innovation by encouraging and enriching the scientific research field and adopting initiatives that provide sustainable solutions for society, the economy, and the environment. The chair aims to disseminate knowledge, highlight the role of AI and its applications in various fields, and create a vibrant community sufficiently knowledgeable in AI that can contribute to providing solutions and innovations for a thriving regional economy.
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Grant objectives
- Support the advancement of AI research and applications in:
- Health sector To improve the quality of preventive medical care and support the digital transformation of health services.
- Sustainable Environment Sector Environmental conservation and sustainable management of water and food resources.
- Future Economics Sector Improving the efficiency of resource and infrastructure management in smart cities.
- Building sustainable research capabilities and supporting local and international research partnerships to empower vital sectors in addressing national challenges.
- Encouraging publication in internationally ranked journals to enhance the university's research competitiveness and support national capacity building.
- Enhancing the importance of knowledge transfer and research expertise sharing among AI researchers.
Areas offered
Human Health (HC) Pathway
Total support up to 150,000 Saudi Riyals
Early disease prevention
Chronic diseases.
Strokes.
Mental disorders.
Cancers.
Sustainable Environment (SE) Track
Total support up to 100,000 SAR
Improve land use practices
* Improve land use.
Preserve the vegetation and native plants in the region.
Increase irrigation efficiency and water use.
Future Economics (EF) Track
Total support up to 150,000 Saudi Riyals
Resources and infrastructure in smart cities
Improving the efficiency of managing and utilizing resources and infrastructure in smart cities.
Smart environment technologies.
* Management of Cognitive Smart Cities.
Terms and conditions for applying for the scholarship
- Research must be published in journals indexed in the Web of Science (WoS) in one of the editions (SCIE, SSCI) for all disciplines in (Q1, Q2, or Q3).
- To close the scholarship, the researcher must achieve at least 60 points according to the following table:
| Criteria Classification | Standard | Number of points |
|---|---|---|
| Basic | Nature Journal**+ Science Journal* | 60 |
| Basic | WoS (Top 10%) | 50 |
| Basic | WoS Q1 (10+%to 25% ) OR granted patent | 40 |
| Basic | WoS Q2 | 30 |
| Basic | WoS Q3 | 20 |
| High School (max 30 points) | To have the percentage of researchers from Qassim University be higher than 50% | 10 |
| High school | The research team from the men's and women's divisions of the university | 5 |
| High school | To be a globally distinguished researcher with a high weighted citation index*** | 10 |
| High school | To have a researcher affiliated with a university ranked among the top 200 universities globally according to the QS rankings. | 10 |
| High school | Being a researcher from a non-academic sector | 5 |
| High school | To be a researcher is to be a graduate student. | 5 |
| High school | One of the grant's outputs shall be an approved prototype from the Innovation Center. | 10 |
| High school | for the researcher to cite two studies published in Qassim University journals | 5 |
| High school | That researchers present a discussion session to present the findings | 10 |
| High school | To have the research ranked first in the Innovation Center programs | 5 |
| Total points for primary criteria + Total points for secondary criteria (maximum 30 points) = Closing points (minimum 60 points) | ||
| * Nature (ISSN 1476-4687 (online), ISSN 0028-0836 (print)) **Science Journal (ISSN 0036-8075) According to the list issued by Clarivate https://clarivate.com/highly-cited-researchers |
- The publication type should be Original Article.
- The applicant must be a faculty member at Qassim University or equivalent, serving as the principal investigator (First Author) or corresponding author. .
- The university name must be mentioned as the sole author affiliation for researchers from within the university, according to the following format:
Department Name, College Name, Qassim University
Department of xxx, College of xxx, Qassim UniversityWith the exception of the name "Applied College," which shall be in the following format:
Unit of Scientific Research, Applied College, Qassim University
and the Medical City's staff according to the following formula:
Department of xxx, Medical City, Qassim University
- If an email address is mentioned in scientific publications, only the official university-issued email address (xxx@qu.edu.sa) should be used.
- Reference the support of the Chair of His Royal Highness Prince Dr. Faisal bin Mishaal bin Saud bin Abdulaziz for Artificial Intelligence and the Deanship of Postgraduate Studies and Scientific Research at Qassim University when publishing the research, using the approved wording:
The author(s) would like to thank the Research Chair of Prince Dr. Faisal bin Mishaal bin Saud bin Abdulaziz for Artificial Intelligence (CPFAI) at Qassim University for supporting this research work (QU-CPFAI-YYTCGN)
And if you wish to benefit from Publication fee support initiative, the above thank you phrasing is sufficient. Note that the coding in the above thank you phrasing is intended as follows:
| Encoding | Its definition | Example |
|---|---|---|
| YY | Year of publication | 2025 |
| TC | Path code | Human Health (HC) Pathway |
| TC | Path code | Sustainable Environment (SE) Track |
| TC | Path code | Future Economies (EF) Track |
| GN | Research grant number | 02 |
| - | Example of final phrasing | (QU-CPFAI-25HC02) |
- The research must not be extracted from a Master's or Doctoral thesis, nor may it have been completed, in whole or in part, previously.
- The total financial rewards for the research scholarship are thirty thousand Saudi Riyals (30,000 SAR) maximum, distributed according to the items below:
| Item | Amount (in Riyals) |
|---|---|
| Principal Investigator Award | 18,000 riyals maximum |
| Participant research award (if applicable) | 12,000 riyals maximum |
| Student reward (if any) | 12,000 riyals maximum |
| Total rewards | 30,000 riyals maximum |
The undergraduate student shall not exceed 4800 riyals, and the postgraduate student shall not exceed 7200 riyals.
- The approved budget for this contract only includes researcher bonuses.
- To receive the reward, the scientific paper must not be an output of research grants that received financial support from any entity. Scientific papers that received support only for publication fees are excluded.
- The scholarship duration is one year from the date of signing the contract between the Principal Investigator and the Chair.
Grant period
Vision
A nationally distinguished chair in AI research, contributing to the knowledge society and realizing the Kingdom of Saudi Arabia's Vision 2030.
The message
To provide a distinguished environment for preparing scientific research in the field of artificial intelligence, and to offer consultative, training, and community services that elevate the local community towards AI practices, using the latest administrative, technical, and informational methods.
Chair's objectives
Provide the appropriate scientific environment for qualitative research in the field of artificial intelligence.
Support for specialized research in the field of artificial intelligence
Innovating new applications in the field of artificial intelligence to meet the needs of the local community
Develop methods and tools to improve all relevant institutions, ensuring excellent performance.
Spreading AI culture in governmental and private institutions in general
Enhancing qualitative practices in Artificial Intelligence in Saudi Arabia
Providing consulting, training, and community services in the field of artificial intelligence
Exchange of expertise and integration of efforts with AI-related institutions at the regional and global levels
Chairperson
Dr. Samar bint Nasser Al-Duaiji
Chair members
Dr. Khalid bin Ali Al-Dubeikhi
Dr. Mona bint Ibrahim Al-Mashiti
Dr. Haifa bint Fahd Al-Hassoun