Karim Sherif

University of Applied Sciences Upper Austria

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About

Karim Sherif is a leading researcher in multibody dynamics, specializing in the development of advanced computational methods for optimization and control of complex mechanical systems. His work primarily focuses on inverse dynamics, time-optimal control, and parameter identification, with a strong emphasis on practical applications in robotics. Sherif’s most influential contribution is his pioneering application of the adjoint method to multibody dynamics, as detailed in his highly cited 2014 paper (72 citations). This work demonstrated how the adjoint method can efficiently solve a broad class of optimization problems—including inverse dynamics and parameter identification—despite the complex mathematical structure of the governing equations. He has also advanced the field of time-optimal control, developing novel approaches for dynamic systems with strict final constraints, which are critical for rest-to-rest motions in robotics. His research on inverse dynamics using motion constraints offers an alternative to traditional coordinate partitioning, providing new pathways for analyzing constrained multibody systems. Through these contributions, Sherif has established himself as a key figure in bridging theoretical optimization with real-world robotic and mechanical system design.