Komal

Papers

Total Citations

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About

Komal’s research focuses on the critical intersection of reliability engineering, fuzzy logic, and industrial safety, with a particular emphasis on robotic systems. Her work addresses the challenge of quantifying uncertainty in complex systems, a key concern for modern automation. In her highly cited 2017 paper, she developed a novel hybridized technique for reliability analysis, using triangular fuzzy numbers to handle vague and uncertain data provided by system experts—a significant methodological contribution to the field. Building on this, her 2020 case study applied fuzzy fault tree analysis to model and control robot-related accidents involving human workers in industrial plants, directly tackling pressing safety issues in sectors like nuclear power, automotive, and healthcare. With her top papers accumulating 9 and 8 citations respectively, Komal’s research has provided practical tools for engineers and safety analysts seeking to improve the dependability and human-robot interaction in high-stakes environments. Her work stands out for its dual focus on theoretical rigor and real-world application, making her a notable voice in the advancement of safer, more reliable automation technologies.