Rafiq Ahmad

Papers

Total Citations

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About

Dr. Rafiq Ahmad is a leading researcher in advanced manufacturing and robotics, with a primary focus on intelligent automation for thermal spray processes. His work bridges the gap between computational optimization and practical industrial application, particularly in the precise control of coating thickness for robotized systems. His most-cited paper, "Coating thickness optimization for a robotized thermal spray system" (2023), has garnered 26 citations, demonstrating its immediate impact on improving efficiency and quality in surface engineering. By integrating sensor feedback and adaptive algorithms, Dr. Ahmad enables robots to achieve consistent, high-performance coatings critical for aerospace, automotive, and energy sectors. His contributions extend to the broader field of cyber-physical production systems, where he develops data-driven models to enhance process reliability and reduce material waste. Dr. Ahmad’s work is notable for its interdisciplinary approach, combining mechanical engineering, control theory, and machine learning. For students and researchers, his research offers a clear pathway into the future of smart manufacturing, where autonomous systems optimize complex processes in real time. His achievements underscore a commitment to translating theoretical advances into tangible industrial solutions.