Qadeer Ahmed
Papers
2
Total Citations
13
H-Index
2
About
Qadeer Ahmed is a rising researcher in the field of safe control and robotics, with a primary focus on the theoretical foundations and practical implementation of safety-critical systems. His work centers on developing robust control barrier functions (CBFs) that guarantee safety even in the presence of real-world imperfections like measurement errors, disturbances, and discrete-time control. Ahmed’s major contributions include the introduction of High-Order Doubly Robust Control Barrier Functions (HO-DRCBFs) for sampled-data systems, which ensure safety under bounded disturbances and measurement noise with piecewise-constant controllers. He also pioneered High-Order Measurement Robust Control Barrier Functions (HO-MR-CBFs), extending safety guarantees to systems with high relative degree and state measurement errors. Despite being early in his career, his work has already garnered over 13 citations, signaling strong interest from the control and robotics communities. His research is particularly notable for bridging the gap between theoretical safety guarantees and practical deployment in autonomous systems, making his contributions highly relevant for students and researchers working on real-world robotic safety.
Research Focus
Key Achievements
Top Papers
- 1Robust Control Barrier Functions for Sampled-Data Systems9 citations · 2023
- 2