Prof. Viviane Faleiro | Experimental Methods | Women Researcher Award

Professor | Universidade Estácio de Sá | Brazil

Prof. Viviane Faleiro is an accomplished academic and researcher renowned for her innovative contributions to health sciences through advanced Experimental Methods. As a lecturer and researcher at Universidade Estácio de Sá and Universidade Salgado de Oliveira, she has built a distinguished career centered on Experimental Methods in exercise physiology, metabolism, and occupational well-being. Her research integrates Experimental Methods to explore the physiological mechanisms underlying exercise performance, energy metabolism, and workplace health. Through her work at the Exercise Physiology Laboratory (LAFIEX), she employs precise Experimental Methods to analyze post-exercise oxygen consumption, lipid oxidation, and recovery processes, contributing to a deeper understanding of metabolic adaptations to various training protocols. Prof. Viviane Faleiro’s scientific achievements include publications in leading journals such as Sports (MDPI) and Journal of Functional Morphology and Kinesiology, where she has effectively applied Experimental Methods to demonstrate the superiority of high-intensity and circuit training in enhancing metabolic efficiency. Her collaborations with prominent researchers at Universidade do Estado do Rio de Janeiro (UERJ) and UNISUAM highlight her commitment to interdisciplinary research, where Experimental Methods serve as a bridge between scientific rigor and practical application. Her consultancy work at INOOVA Assessoria Esportiva further extends her influence beyond academia, integrating Experimental Methods into health promotion and sports performance programs that impact public and private sector initiatives, including the Maricá Cidade Olímpica project. Her continued engagement with scientific publication and international collaboration reflects her role as a global advocate for the use of Experimental Methods in advancing human performance and occupational health research. With a growing presence in citation databases and an expanding body of peer-reviewed work, Prof. Viviane Faleiro exemplifies scientific precision, innovation, and dedication. Her commitment to applying Experimental Methods in every aspect of her research underscores her impact on developing evidence-based strategies for training, rehabilitation, and inclusive physical education, contributing significantly to the global advancement of exercise and health sciences.

Profiles: Scopus | ORCID

Featured Publications

1. Faleiro, V., Gurgel, A. V., Guimarães, T. T., Figueiredo, T. C., Teixeira, F. G., Jotta, B., Monteiro, E. R., Meirelles, A. G., Caldas, C. C. A., & de Almeida, M. T. (2025). Isocaloric high-intensity interval and circuit training increases excess post-exercise oxygen consumption and lipid oxidation compared to moderate-intensity continuous training. Sports, 13(10), 355.

2. Marques Neto, S. R., Lattari, E., Gurgel, A., Faleiro, V., Machado, S., Farinatti, P., & Maranhão Neto, G. (2019). Determination of heart rate threshold from heart rate kinetics during maximal graded exercise in soccer players. Revista Brasileira de Cineantropometria & Desempenho Humano.

Mr. Yuanfang Han | Experimental Methods | Best Researcher Award

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.