Mr. Prawar

Reliability modeling is a key area of my research, focusing on predicting the reliability and failure behavior of complex systems across industries such as transportation, energy, and manufacturing. Using advanced statistical techniques, I analyze failure data to enhance system reliability, addressing aging mechanisms, fault diagnosis, and maintenance optimization to improve availability, safety, and cost-efficiency. My interdisciplinary interests include machine learning for predictive analytics, biomechanics for healthcare, aviation system reliability, fuzzy networks, image processing, and inventory management. Through innovative methodologies, I aim to address complex challenges and drive advancements across these domains.