Papers

4

Total Citations

22

H-Index

3

About

Pedram Rabiee is a control systems researcher whose work sits at the intersection of safety-critical control theory and practical engineering constraints. His research centers on the development of advanced control barrier function (CBF) methodologies, with a particular focus on ensuring system safety under real-world actuator limitations such as input saturation and convex polytopic constraints. Rabiee's most recognized contributions include the introduction of soft-minimum and soft-maximum barrier functions, innovative mathematical tools that enable guaranteed safety while respecting actuator bounds through computationally efficient real-time optimization, including linear and quadratic programs. His 2024 work on composing multiple CBFs with differing relative degrees addresses a longstanding theoretical challenge, offering a unified framework for constructing a single barrier function from multiple safety constraints — a significant advancement for complex, multi-constraint systems. With a growing body of work accumulating over 20 citations across a handful of focused publications, Rabiee has established himself as an emerging voice in safety-critical control. His research holds strong relevance for autonomous systems, robotics, and aerospace applications, where guaranteeing safety under physical limitations is not merely theoretical but operationally essential. Students working on autonomous systems or Lyapunov-based control would find his methodological contributions both rigorous and practically grounded.

Research Focus

Key Achievements

3
H-Index
4
Papers
22
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Composition of Control Barrier Functions with Differing Relative Degrees for Safety Under Input Constraints
7 citations · 2024
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 1
🏛 Institutions: University of Kentucky

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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