Papers

3

Total Citations

234

H-Index

3

About

Jamal Nayfeh is a multidisciplinary researcher whose work spans biomechanical engineering and engineering education, with particular expertise in computational modeling of orthopedic implants and innovative pedagogical approaches. His most influential contribution lies in the development and evaluation of custom-designed orthopedic implants using finite element analysis (FEA) applied to patient-specific computed tomography data. By leveraging individualized anatomical information to engineer femoral components tailored to each patient, Nayfeh's research directly addresses the limitations of conventional one-size-fits-all knee and hip implant systems, offering a pathway toward improved longevity and clinical outcomes for cementless implants. This foundational work has accumulated over 228 citations, reflecting its substantial impact on the orthopedic engineering community and its continued relevance as evidenced by its republication in 2019. Beyond biomedical applications, Nayfeh has also contributed to engineering education reform, advocating for project-based learning frameworks in undergraduate electrical engineering laboratories. His 2024 case study highlights how cohesive, integrated experiments can combat fragmented learning and better prepare students for real-world system design challenges. Together, these contributions position Nayfeh as a researcher committed to both advancing medical device innovation and cultivating the next generation of engineers.

Research Focus

Key Achievements

3
H-Index
3
Papers
234
Total Citations
78
Avg Citations/Paper
🏆 Most Cited Paper
Custom-designed orthopedic implants evaluated using finite element analysis of patient-specific computed tomography data: femoral-component case study
228 citations · 2007
📈 Most Prolific Year: 2007 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: University of Central Florida, Prince Mohammad bin Fahd University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 9 days ago