Yuanfang Han | Beijing University of Posts and Telecommunications | China
Mr. Yuanfang Han is an Engineering researcher specializing in network performance analysis with strong expertise in Experimental Methods that drive innovation in server diagnosis and optimization, where his academic foundation at the School of Information and Communication Engineering, Beijing University of Posts and Telecommunications has equipped him with advanced skills in passive traffic measurement, anomaly detection, and performance management metrics. His professional experience highlights Experimental Methods applied to large-scale systems, particularly through the development of the Cross-Environment Server Diagnosis with Fusion (CSDF) framework in collaboration with China Tower Corporation Limited, achieving significant efficiency improvements. His research interest is anchored in Experimental Methods for traffic-based anomaly detection, host–network correlation, and machine-learning-driven optimization of communication networks, producing impactful contributions such as SCI-indexed publications in Electronics. Recognition through awards and industry collaborations reflects his excellence in applying Experimental Methods to both academic and industrial challenges. His research skills encompass cross-environment request alignment, packet capture analysis, and random-forest-based attribution models, each grounded in Experimental Methods that ensure accurate performance diagnostics. With membership in IEEE and contributions that reduce system response time in production environments, he demonstrates how Experimental Methods extend beyond theory into real-world deployment. In conclusion, Mr. Yuanfang Han exemplifies Engineering leadership through Experimental Methods that integrate machine learning, system diagnosis, and network optimization, marking him as a promising researcher with impactful contributions to future technological advancements.
Profile: ORCID
Featured Publication
1. Han, Y., Zhang, Z., Li, X., Zhao, J., Gu, R., & Wang, M. (2025). A non-intrusive approach to cross-environment server bottleneck diagnosis via packet-captured application latency and APM metrics. Electronics, 14(19), 3824.