Nawshin Mannan Proma
Papers
1
Total Citations
2
H-Index
1
About
Nawshin Mannan Proma is a researcher at the forefront of ensuring the safety and reliability of vision-based artificial intelligence systems, particularly those deployed in autonomous robots and vehicles. Her work focuses on the critical challenge of making AI perception robust against real-world uncertainties, including sensor degradation and environmental variability. Proma’s key contribution is the development of a novel "situation coverage" approach that systematically tests and verifies the robustness requirements of AI vision models. Her most-cited paper, "Robustness Requirement Coverage using a Situation Coverage Approach for Vision-based AI Systems" (2025), introduces a framework that goes beyond traditional testing by considering complex, dynamic scenarios where components may fail or degrade. This work has already garnered 2 citations, signaling its early impact in the safety-critical AI community. By bridging the gap between software engineering and AI reliability, Proma is helping to build trust in autonomous systems that must operate safely in unpredictable environments—a contribution that is both timely and essential as these technologies move from labs into everyday life.
Research Focus
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Top Papers
- 1