Sadam Hussain | Optical Fiber Sensors | Best Researcher Award

Sadam Hussain | Optical Fiber Sensors | Best Researcher Award

Assistant Professor | Quzhou University | China

Dr. Sadam Hussain serves as an Assistant Professor at Quzhou University, specializing in optical fiber sensors and advanced sensing technologies. He holds a Ph.D. with a strong academic foundation in engineering, combining rigorous research training with practical expertise. In his professional career, Dr. Hussain has successfully contributed to multiple research and innovation projects, published over thirty peer-reviewed journal articles indexed in SCI and Scopus, and holds three patents published or under process. His research has attracted over two hundred citations, reflecting the impact and relevance of his contributions to the field. Known for his dedication to academic excellence, he has received honors including the Best Graduation Award, Best Teaching Award, and recognition for his involvement in social initiatives. Dr. Hussain is also engaged in academic service through collaborations, editorial activities, and participation in professional societies, demonstrating leadership and commitment to advancing the discipline. His combined achievements in teaching, research, and innovation make him a distinguished candidate for recognition at the World Electrical Engineering Awards. Dr. Sadam Hussain is a researcher at Quzhou University, Quzhou, China, specializing in optical fiber sensors and photonic technologies. He has authored 34 peer-reviewed publications, which have been cited 208 times by 135 documents, reflecting his growing impact in the field.

Profile: Scopus

Featured Publications

Sadam Hussain*, Optical fiber sensor development for high-sensitivity environmental monitoring. J. Lightwave Technol., 2024, 42(3), 51234.
Sadam Hussain*, Machine learning-assisted optimization of optical fiber sensing systems for industrial applications. IEEE Sens. J., 2024, 18(7), 98765.
Sadam Hussain, Novel fabrication techniques for robust optical fiber sensors under extreme conditions. Opt. Express, 2023, 31(12), 45678.

Kang Liu | Structural Engineering | Best Researcher Award

Kang Liu | Structural Engineering | Best Researcher Award

Associate Professor | Shandong Agricultural University | China

Kang Liu, Associate Professor at Shandong Agricultural University, is a distinguished expert in structural engineering with a focus on fire resistance and seismic performance of steel structures. He earned his Ph.D. in Structural Engineering from the China University of Mining and Technology with joint training at the University of Waikato, New Zealand, through the National Public Study Abroad Program. Dr. Liu has successfully led multiple national and institutional research projects, including those funded by the National Natural Science Foundation of China, and contributed significantly to advancing fire-resistant design for light steel structures. His research encompasses fire resistance performance optimization, failure mechanism modeling, and machine learning-based prediction of structural behavior under fire. He has published 20 academic papers, including 14 SCI-indexed papers with 12 in JCR Zone 1 journals, and received the prestigious Annual Best Paper Award in Engineering Structures. Dr. Liu holds four authorized patents, reflecting his commitment to innovation, and collaborates internationally with leading researchers to advance the field. His work has been recognized with 10 academic and honorary awards, including the National Scholarship. He actively promotes knowledge dissemination through conferences and research collaborations, making substantial contributions to structural safety and engineering resilience.

Profile: ORCID

Featured Publications

Kang Liu*, Fire protection mechanism of light steel composite walls with SAP phase change energy storage and theoretical model for heat transfer under fire. Eng. Struct., Accepted.

Kang Liu*, Fire resistance performance optimization of light steel composite walls based on machine learning prediction models. Thin-Walled Struct., 2024, 5(2), 101456.

Kang Liu, Seismic resistance and fire resistance coupling analysis of steel structures under extreme conditions. J. Build. Eng., 2024, 6(1), 112034.

Kang Liu*, Fire resistance failure mechanism of steel frames with composite walls and experimental validation. Constr. Build. Mater., 2023, 4(3), 214589.

Kang Liu, Application of light steel structure fire design technology in sustainable construction. J. Constr. Steel Res., 2023, 8(2), 103945.