Fatemeh Zahra Saberifar

Amirkabir University of Technology, Tarbiat Modares University

Papers

10

Total Citations

74

H-Index

6

About

Fatemeh Zahra Saberifar’s research lies at the intersection of robotics, algorithmic design, and formal methods, with a focus on the principled co-design of robot hardware and software. Her work addresses a fundamental challenge: how to minimize a robot’s sensing and actuation complexity while ensuring it can still complete its tasks. She has pioneered the study of combinatorial filter reduction and set-labelled filters, providing formal frameworks for determining which sensor modifications or degradations leave a robot’s behavior unaffected. Her contributions have been recognized with over 70 citations across her most-cited papers, including foundational works like “Set-labelled filters and sensor transformations” (14 citations) and “Toward a language-theoretic foundation for planning and filtering” (13 citations). Saberifar has also advanced the understanding of the computational hardness of minimizing design cost subject to planning problems, showing that even seemingly simple co-design questions are algorithmically challenging. Her 2021 paper “On the Design of Minimal Robots That Can Solve Planning Problems” is a key reference in the field. Through her rigorous theoretical contributions, Saberifar has given roboticists principled tools to reason about the trade-offs between design cost, sensor complexity, and task performance.

Research Focus

Key Achievements

6
H-Index
10
Papers
74
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Set-labelled filters and sensor transformations
14 citations · 2016
📈 Most Prolific Year: 2016 (2 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Amirkabir University of Technology, Tarbiat Modares University

Top Papers

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    Improper Filter Reduction
    2 citations · 2017
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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 17 days ago