Chaochao Shen | Fiber Optics | Research Excellence Award

Dr. Chaochao Shen | Fiber Optics |Research Excellence Award

Student | Shanghai Institute of Optics | China

Chaochao Shen is a researcher at the Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, with expertise in optical and electrical engineering–related interdisciplinary research. He holds advanced academic training in engineering and applied physical sciences, with specialization aligned to optics, photonic systems, and related technologies. His professional experience includes active involvement in collaborative research projects, multidisciplinary teamwork, and scholarly contributions within a leading national research institute. His research focuses on advanced optical and optoelectronic systems, with peer-reviewed publications indexed in Scopus and demonstrated citation impact, reflecting the relevance of his work to the scientific community. He has collaborated with an international network of researchers and maintains an active Scopus author profile. His scholarly metrics include four Scopus-indexed documents, one citation, and an h-index of one.

Citation Metrics (Scopus)

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4

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View Scopus Profile View Google Scholar

Featured Publications

Surface-mode induced high birefringence in a low-loss 7-cell photonic bandgap hollow-core fiber
C Shen, D Wu, X Zhu, S Chen, F Yu
Optical Fiber Technology, 95, 104416

Demonstration of tuning thermal coefficient of delay of photonic bandgap hollow-core fiber by surface mode
C Shen, D Wu, X Zhu, S Chen, B Lu, H Li, F Yu, X Chen, J Knight
Optical Fiber Technology, 95, 104429

High numerical-aperture solarization-resistant silica-glass air-cladding fiber bundle for the ultraviolet imaging
B Xu, C Shen, H Shen, Y Zang, Y Wang, Y Liu, X Lin, F Yu
IEEE Photonics Journal

Tuning of birefringence and thermal coefficient of delay of photonic bandgap hollow-core fiber by surface modes
C Shen, F Yu, J Knight
24th International Conference on Transparent Optical Networks (ICTON), 1-1, 2024

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.