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About

Mangey Ram is a prolific researcher whose work spans reliability engineering, stochastic modeling, manufacturing systems, and the application of artificial intelligence and robotics in critical real-world challenges. His research has made meaningful contributions to understanding complex industrial systems, particularly through the development of stochastic models that address failures, rework processes, and system optimization in flexible manufacturing environments. His 2017 study on flexible manufacturing systems using the copula-coverage approach and his work on autonomous robot performance evaluation demonstrate a sustained commitment to improving industrial reliability and efficiency in increasingly automated settings. Ram has also turned his expertise toward pressing global challenges, contributing to scholarship on the use of AI and robotics in combating the COVID-19 pandemic, work that has garnered notable attention within the research community. Across his portfolio, his most cited contributions reflect a consistent focus on bridging theoretical stochastic frameworks with practical engineering applications. With citations accumulating across multiple disciplines and publication venues, Ram's work offers valuable methodological insights for students and researchers working at the intersection of reliability theory, intelligent systems, and modern manufacturing engineering.