Yaqin Wu | Computer Science | Excellence in Research Award

Ms. Yaqin Wu | Computer Science | Excellence in Research Award

Shanxi Agricultural University | China

Ms. Yaqin Wu is an accomplished researcher and educator specializing in acoustic signal analysis, deep learning, and multimodal information fusion, with a research record reflecting 80 citations across 78 documents, 9 publications, and an h-index of 3. She holds a Master of Engineering in Electronic and Communication Engineering from Tianjin University and a Bachelor’s degree in Communication Engineering from Dalian Maritime University. Currently serving as a full-time faculty member at the School of Software, Shanxi Agricultural University, she teaches courses such as Speech Signal Processing, Natural Language Processing, and Human-Computer Interaction. Ms. Wu has led and contributed to several cutting-edge research projects, including pathological voice restoration, multimodal animal behavior monitoring, and AVS audio codec development. She has authored multiple SCI-indexed papers and holds several patents and software copyrights related to voice signal processing. Her technical proficiency spans Python, MATLAB, Linux systems, and MySQL databases. Notably, her master’s thesis earned the Outstanding Achievement Award of Engineering Master’s Practice from Tianjin University. Through her innovative contributions in signal processing and intelligent systems, Ms. Wu continues to advance the intersection of engineering and artificial intelligence research.

Profiles : Scopus | Orcid

Featured Publications

Zhang, J., Wu, Y., & Zhang, T. (2025). Fusing time-frequency heterogeneous features with cross-attention mechanism for pathological voice detection. Journal of Voice. Advance online publication.

Li, X., Wang, K., Chang, Y., Wu, Y., & Liu, J. (2025). Combining Kronecker-basis-representation tensor decomposition and total variational constraint for spectral computed tomography reconstruction. Photonics, 12(5), 492.

JiaBao Zhao | Environmental Science | Best Researcher Award

Dr. JiaBao Zhao | Environmental Science | Best Researcher Award

Hangzhou dianzi University | China

Author Profile

Scopus

Early Academic Pursuits

Dr. JiaBao Zhao began his academic journey with a strong foundation in electronic information. He pursued his master's degree at Hangzhou University of Electronic Science and Technology, majoring in Electronic Information from September 2021 to March 2024. During this time, he developed a keen interest in hydroacoustic signal processing, laying the groundwork for his future research endeavors. His master's thesis and related projects focused on advanced acoustic signal processing techniques, particularly for applications in underwater environments.

Professional Endeavors

Upon completing his master's degree, Dr. Zhao continued his studies at Hangzhou University of Electronic Science and Technology, embarking on a PhD in Marine Information Technology from September 2024 to June 2028. His professional endeavors during his PhD included extensive research on hydroacoustic signal processing, where he contributed significantly to the development of new technologies for underwater equipment.

Contributions and Research Focus

Dr. Zhao's research primarily centers on hydroacoustic signal processing, with notable contributions in several areas. In 2022, he co-authored a review paper on piezoelectric metamaterials for underwater equipment, published in Frontiers in Physics. This work explores the application of piezoelectric metamaterials in underwater environments, highlighting their potential for enhancing underwater equipment performance. In 2023, he contributed to a paper published in Acoustics Australia, presenting a novel spectral level prediction model of ocean ambient noise using a GA-LM-BP neural network. This model significantly improves the accuracy of noise prediction in marine environments.

Accolades and Recognition

Throughout his academic career, Dr. Zhao has received recognition for his innovative research and contributions to the field of marine information technology. His work on acoustic signal processing has been particularly noted for its potential applications in underwater exploration and environmental monitoring.

Impact and Influence

Dr. Zhao's research has had a substantial impact on the field of marine information technology. His work on underwater noise reduction and signal processing algorithms has advanced the state-of-the-art in this area, providing new tools and methodologies for researchers and practitioners. His contributions to the understanding of underwater acoustic environments have also facilitated more accurate environmental monitoring and assessment.

Legacy and Future Contributions

Dr. Zhao's legacy in the field of marine information technology is characterized by his pioneering research and innovative approaches to underwater acoustic signal processing. His future contributions are expected to continue advancing this field, particularly in the areas of environmental monitoring and underwater communication. His work has laid a strong foundation for ongoing research, and he is likely to remain a key figure in the development of new technologies for marine applications.

 

Notable Publications

Reconstruction model of three-dimensional ocean sound speed field based on Tucker-denoising autoencoder 2024

Spectral Level Prediction Model of Ocean Ambient Noise Based on GA-LM-BP Neural Network 2023 (1)

A Shallow Seafloor Reverberation Simulation Method Based on Generative Adversarial Networks 2023 (1)

A review of underwater acoustic metamaterials for underwater acoustic equipment 2022 (5)

A review of piezoelectric metamaterials for underwater equipment 2022 (5)