Dr. Haipeng Yan is a dynamic mechanical engineering researcher whose work spans bearing dynamics, mechanical product design, digital design methodologies, and advanced product performance analysis. His research integrates theoretical models, computational simulations, and experimental validation, contributing significantly to high-speed ceramic bearings, nano-grinding mechanisms, digital twin systems, and intelligent manufacturing. With more than 30 academic publications in SCI-indexed and Chinese journals as first or corresponding author, he has demonstrated sustained productivity and rising influence in his field. His scholarly impact is reflected in 248 citations from 232 citing documents and an h-index of 10, underscoring his expanding international research visibility. His recent research advances include digital-twin-driven commissioning systems for intelligent detection lines, tribological and dynamic characteristics of full-ceramic ball bearings under extreme operating conditions, nano-scratching mechanisms in monocrystalline silicon, and surface engineering inspired by biological microstructures. Dr. Yan’s interdisciplinary collaborations bridge materials science, mechanical design, automation, and micro-manufacturing, leading to innovative solutions in precision machining, product reliability, and smart processing equipment. His works are extensively indexed in Scopus and Google Scholar, demonstrating consistent growth in citation metrics supported by an increasing h-index and i10-index, as well as recognition across international conferences and high-ranking journals. His research is frequently cited by scholars in nonlinear dynamics, intelligent manufacturing systems, micromachining, and digital engineering, further validating the relevance of his contributions. In addition, he has advanced intelligent production technologies through work on machine-vision-based detection, automated processing equipment, and functional surface engineering. His publications show methodological depth by integrating numerical simulations, experimental analysis, digital modeling, and structural optimization. With a strong cross-disciplinary portfolio and rising global impact, Dr. Haipeng Yan stands out as a promising contributor to mechanical engineering innovation, and his expanding scholarly footprint positions him as a strong candidate for distinctions such as the Research Excellence Award.