Papers

27

Total Citations

758

H-Index

15

About

Karim Abdel-Malek is a prominent researcher whose work spans computational biomechanics, robotics, and geometric modeling, with particular expertise in human motion simulation and robotic systems design. His foundational contributions to swept volume theory — synthesized in his widely cited 2006 survey (112 citations) and earlier geometric formulation using Jacobian rank-deficiency conditions (109 citations) — established critical mathematical frameworks for modeling the spatial envelopes traced by moving rigid bodies, with broad applications in manufacturing and robotics. Abdel-Malek has made significant strides in physics-based human motion modeling, with his 2010 review of optimization-based approaches to human walking simulation garnering 137 citations, reflecting its importance as a reference cornerstone in digital human modeling. His 2008 work on dynamic gradient-based locomotion planning further advanced predictive gait analysis by addressing the inherent redundancy of human biomechanics. In robotics, he has contributed innovative designs for hyper-redundant and elephant trunk-style continuum manipulators, alongside optimization strategies for robotic placement and dexterity maximization. His early work on bone registration for robot-assisted pedicle screw insertion also demonstrates meaningful reach into surgical robotics. Collectively, his research portfolio reflects a career dedicated to bridging computational modeling with real-world mechanical and human movement applications.

Research Focus

Key Achievements

15
H-Index
27
Papers
758
Total Citations
28
Avg Citations/Paper
🏆 Most Cited Paper
Physics-based modeling and simulation of human walking: a review of optimization-based and other approaches
137 citations · 2010
📈 Most Prolific Year: 2008 (6 Papers)
🤝 Key Collaborators: 31
🏛 Institutions: University of Iowa, American University of Beirut New York Office, American University of Beirut

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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