Sarah Niebe
Papers
2
Total Citations
38
H-Index
2
About
Sarah Niebe is a leading researcher in computational mechanics, specializing in nonsmooth dynamics and interactive simulation of rigid body systems. Her work focuses on developing efficient numerical methods for solving contact force problems, which are critical for realistic physics-based simulations in robotics, computer graphics, and virtual reality. Niebe's most influential contribution is the "nonsmooth nonlinear conjugate gradient method" (2010, 26 citations), which provides a robust framework for handling interactive contact force problems with complex constraints. She further advanced the field with the "Projected Gauss–Seidel Subspace Minimization Method" (2011, 12 citations), enabling faster and more stable simulations of interactive rigid body dynamics. Her methods have significantly improved the real-time performance and accuracy of contact resolution, making them valuable for applications ranging from haptic feedback systems to game physics engines. Niebe's work bridges the gap between theoretical nonsmooth mechanics and practical computational tools, earning recognition for its impact on interactive simulation technologies.
Research Focus
Key Achievements
Top Papers
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