Research output per year
Research output per year
Personal profile
About
Dr. Jamal Alhiyafi is a member of the Computer Science Department at Kettering University. Dr. Alhiyafi received his Ph.D. degree in Computer Science (CS) from Wayne State University, Detroit, USA in 2010. He received his M.S. in Software Engineering and B.S. in Computer Science from University of Michigan- Dearborn, USA in 2002 and 2000, respectively. He also received a Graduate Certificate in Scientific Computing from Wayne State University in 2006. Dr. Alhiyafi has 10+ years of experience in the industry environment before moving to academia. His current research interests are in the fields of Machine Learning, Data Mining, Artificial Intelligence, and Health Informatics.
Education/Academic qualification
Ph.D. in Computer Science, Wayne State University
2004 → 2010
Graduate Certificate in Software Engineering, Wayne State University
2005 → 2006
M.S. in Software Engineering, University of Michigan - Dearborn
2000 → 2002
B.S. in Computer Science, University of Michigan - Dearborn
1997 → 2000
Research Interests
- Machine Learning, Data Mining, Artificial Intelligence, Health Informatics
Disciplines
- Computer Sciences
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Comprehensible Machine-Learning-Based Models for the Pre-Emptive Diagnosis of Multiple Sclerosis Using Clinical Data: A Retrospective Study in the Eastern Province of Saudi Arabia
Olatunj, S. O., Alsheikh, N., Alnajrani, L., Alanazy, A., Almusairii, M., Alshammasi, S., Alansari, A., Zaghdoud, R., Alahmadi, A., Imran Basheer Ahmed, M., Salih Ahmed, M. & Alhiyafi, J., Feb 27 2023, In: International Journal of Environmental Research and Public Health.Research output: Contribution to journal › Article › peer-review
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Preemptive Diagnosis of Alzheimer’s Disease in the Eastern Province of Saudi Arabia Using Computational Intelligence Techniques
Olatunji, S. O., Alansari, A., Alkhorasani, H., Alsubaii, M., Sakloua, R., Alzahrani, R., Alsaleem, Y., Alassaf, R., Farooqui, M., Imran Basheer Ahmed, M. & Alhiyafi, J., Aug 23 2022, In: Computational Intelligence and Neuroscience. 2022Research output: Contribution to journal › Article › peer-review
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Early Diagnosis of Thyroid Cancer Diseases Using Computational Intelligence Techniques: A Case Study of a Saudi Arabian Dataset
Olatunji, S. O., Alotaibi, S., Almutairi, E., Alrabae, Z., Almajid, Y., Altabee, R., Altassan, M., Basheer Ahmed, M. I., Farooqui, M. & Alhiyafi, J., Apr 2021, In: Computers in Biology and Medicine. 131Research output: Contribution to journal › Article › peer-review
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Mammography Image-Based Diagnosis of Breast Cancer Using Machine Learning: A Pilot Study
Alshammari, M. M., Almuhanna, A. & Alhiyafi, J., Dec 21 2021, In: Sensors.Research output: Contribution to journal › Article › peer-review
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Automatic Text Categorization Using Fuzzy Semantic Network
Alhiyafi, J., -ur-Rahman, A., Abdulsalam Alhaidari, F. & Aftab Khan, M., Jan 22 2019.Research output: Contribution to conference › Presentation
Activities
- 2 Membership of network
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Institute of Electrical and Electronics Engineers (IEEE) (External organization)
Alhiyafi, J. (Member)
2000 → …Activity: Membership › Membership of network
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Association for Computing Machinery (ACM) (External organization)
Alhiyafi, J. (Member)
2000 → …Activity: Membership › Membership of network
Prizes
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National Science Foundation-IGERT Fellowship 2005-2006, Computer Science-Henry Ford Award April 2006, UAW-Ford Scholarship, 1999-2000, Frederick P. and Violet Sharpe Endowed Scholarships 1999-2000
Alhiyafi, J. (Recipient), 2005
Prize: Prize (including medals and awards)