Ling Zheng | Computer Science and Artificial Intelligence | Research Excellence Award

Dr. Ling Zheng | Computer Science and Artificial Intelligence | Research Excellence Award

Fujian Maternity and Children Health Hospital | China 

The researcher holds advanced training in computer science with a strong specialization in artificial intelligence and machine learning, Computer Science and Artificial Intelligence particularly in efficient attention mechanisms and multimodal large models for medical and healthcare applications. Current research focuses on the development of intelligent systems for placental pathology analysis, automated diagnostic report generation, and AI-assisted clinical decision support. Major contributions include the construction of annotated medical image databases, AI-guided lesion standardization frameworks, and the application of dynamic intelligent models to support maternal health interventions. The research portfolio also extends to large-scale data management, privacy protection, and secure data sharing technologies for auditory and visual cognitive models, as well as knowledge graph representation and swarm intelligence collaboration. In addition to academic research, the work includes close collaboration with industry partners to develop domain-specific large models for gynecologic oncology and multimodal AI systems for placental pathology diagnosis. Scholarly contributions span high-impact peer-reviewed journals in artificial intelligence, medical informatics, data science, and interdisciplinary computational research. The researcher has also contributed to the academic community through service on program committees for leading international conferences in artificial intelligence, computer vision, and data analytics. Overall, the research demonstrates strong innovation, translational impact, and commitment to advancing AI-driven healthcare technologies.

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Featured Publications

Computer-aided detection of prostate cancer in T2-weighted MRI within the peripheral zone
A. Rampun, L. Zheng, P. Malcolm, B. Tiddeman, R. Zwiggelaar – Physics in Medicine & Biology, 61(13), 4796, 2016

Self-adjusting harmony search-based feature selection
L. Zheng, R. Diao, Q. Shen – Soft Computing, 19(6), 1567–1579, 2015

Feature grouping and selection: A graph-based approach
L. Zheng, F. Chao, N. Mac Parthaláin, D. Zhang, Q. Shen – Information Sciences, 546, 1256–1272, 2021

Boundary-aware network with two-stage partial decoders for salient object detection in remote sensing images
Q. Zheng, L. Zheng, Y. Bai, H. Liu, J. Deng, Y. Li – IEEE Transactions on Geoscience and Remote Sensing, 61, 1–13, 2023

A distributed joint extraction framework for sedimentological entities and relations with federated learning
T. Wang, L. Zheng, H. Lv, C. Zhou, Y. Shen, Q. Qiu, Y. Li, P. Li, G. Wang – Expert Systems with Applications, 213, 119216

Zhaochun Li | Intelligent Material Systems And Control | Best Researcher Award

Prof. Zhaochun Li | Intelligent Material Systems And Control | Best Researcher Award

Nanjing Forestry University | China

Dr. Li is a distinguished professor in the College of Mechanical and Electronic Engineering at Nanjing Forestry University, where she has built a strong reputation for her pioneering work in intelligent material systems and advanced control techniques. Her academic journey and professional achievements reflect a deep commitment to innovation in engineering research, particularly in areas that address critical challenges in mechanical performance and structural reliability. With a primary focus on intelligent material systems, Dr. Li has explored how these innovative materials can be effectively integrated into modern engineering applications to enhance efficiency and adaptability. A major part of her research is dedicated to passive and active vibration control, an area that plays a crucial role in ensuring stability, safety, and precision in a wide range of engineering systems. By advancing methods to mitigate vibrations, her work contributes to improving structural durability and performance in both industrial and technological contexts. Over the course of her career, Dr. Li has authored more than 60 peer-reviewed journal articles, providing valuable insights and shaping discourse within her field. Her scholarly contributions not only strengthen academic understanding but also open pathways for practical applications, positioning her as a respected leader and innovator in engineering research.

Profile: Orcid

Featured Publication

Hou, M., Xu, X., Ouyang, Q., & Li, Z. (2025, September 30). Research on model predictive control of magnetorheological impact buffer system considering driver modeling. Engineering Research Express.

Zheng, Z., Zhan, J., Li, Z., Wang, Y., Xu, C., & Wang, X. (2025, September 15). Data-driven twisted string actuation for lightweight and compliant anthropomorphic dexterous hands. Biomimetics.

Zheng, J., Xu, C., Li, Z., Gu, C., Li, X., Li, Z., Li, Y., Lou, G., & Chen, Y. (2024). Growing bimetallic CoNi-MOF derivatives between MXene layers with hierarchically coral-like interfaces for enhanced electromagnetic wave absorption. Journal of Materials Chemistry A.

Zheng, J., Zhao, J., Wang, L., Li, Z., Dong, W., & E, S. (2022, November). Optimal control for soft-landing in elevator emergency crash using multiple magnetorheological shock absorbers. Journal of Intelligent Material Systems and Structures.

Zhang, J., Li, Z., & Liu, X. (2021, November 8). Intelligent tea-picking system based on active computer vision and Internet of Things. Security and Communication Networks.