Dr. Saeed Alqahtani
Ph.D. in Electrical and Computer Engineering | Oakland University
Saeed Mohammed S. Alqahtani completed his doctorate at Oakland University under Mohamed A. Zohdy. His dissertation investigates transfer learning for early detection and severity classification of Alzheimer’s disease. His published work applies machine learning to medical image analysis and includes collaboration with other Oakland researchers.
Doctoral research (2025): Severity Grading and Early Detection of Alzheimer’s Disease Through Transfer Learning
View original photograph
Education
- Ph.D. in Electrical and Computer Engineering — Oakland University, 2025
Research statistics
Verified ICCC collection
- Documented research records
- 2
- Publication records
- 1
- Degree research records
- 1
Indexed citation figures
- Indexed research works
- 1
- Citations to indexed works · all years
- 10
- Citations received · 2024–2026
- 10
- 20243
- 20254
- 20263
Annual citations: 2024: 3 · 2025: 4 · 2026: 3. Retrieved 2026-10-28. Work 1Checked 2026-10-28Verified publication only; not a complete career total. Degree theses in ICCC are counted separately. An author profile is not required to report this paper’s indexed citations.
ICCC counts cover the verified collection. Citation figures cover only the displayed indexed source records, not guaranteed career totals. OpenAlex coverage and author clustering can be incomplete. These figures differ from Google Scholar and include self-citations. Compare available member metrics →
Research & Publications
1 publications · 1 degree thesis · Newest first
Authored and co-authored publications, with authors shown in the source order. This list reflects the records currently verified by ICCC and may not be complete.
Severity Grading and Early Detection of Alzheimer’s Disease Through Transfer Learning
View DissertationStart here · New researcher guide
A reading workflow, not an author-verified summary. Confirm all details in the original publication.
- Check the fit. Read the abstract and introduction. Write down the research question and explain how it relates to your idea.
- Understand the method. Identify the approach, assumptions, data and evaluation measures in the paper.
- Check reproducibility. Look for linked code, datasets and supplementary material. Availability has not been verified by ICCC.
- Find your next question. Read limitations and future work. Propose one extension and check newer literature before claiming a research gap.
- Plan a first experiment. Define a baseline, the change you will test and a measurable outcome. Discuss feasibility with your supervisor.
For questions or collaboration, visit the member profile and use a listed contact channel. Authorship and collaboration require agreement.
Severity Grading and Early Detection of Alzheimer’s Disease through Transfer Learning
View PublicationOpenAlex: 10 citations Source ↗
Start here · New researcher guide
A reading workflow, not an author-verified summary. Confirm all details in the original publication.
- Check the fit. Read the abstract and introduction. Write down the research question and explain how it relates to your idea.
- Understand the method. Identify the approach, assumptions, data and evaluation measures in the paper.
- Check reproducibility. Look for linked code, datasets and supplementary material. Availability has not been verified by ICCC.
- Find your next question. Read limitations and future work. Propose one extension and check newer literature before claiming a research gap.
- Plan a first experiment. Define a baseline, the change you will test and a measurable outcome. Discuss feasibility with your supervisor.
For questions or collaboration, visit the member profile and use a listed contact channel. Authorship and collaboration require agreement.
No publications match your search.