Prof. Li Zou | Intelligent Computing | Women Researcher Award

Prof. Li Zou | Intelligent Computing | Women Researcher Award

Supervisor | Dalian Jiaotong University | China

Prof. Li Zou is a Professor and Ph.D. Supervisor specializing in computer science and mechanical engineering, with research focused on intelligent computing, computer vision, big data analytics, and fatigue analysis of welded structures. His work integrates advanced machine learning models, physics-informed neural networks, and soft computing techniques to enhance fatigue life prediction and structural reliability. He has contributed significantly to damage detection in wind turbine blades and intelligent modeling of engineering systems. His research impact is reflected in Scopus metrics with over 837 citations across 50 documents and an h-index of 13, alongside strong visibility on Google Scholar, demonstrating sustained academic influence and innovation.

Citation Metrics (Scopus)

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Citations
837

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13

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View Scopus Profile

Featured Publications

An improved method of AUD-YOLO for surface damage detection of wind turbine blades
– Scientific Reports, 2025

Ultrasonic bonding with variable amplitude fuzzy control based on force signals
– Journal of Reinforced Plastics, 2025

Method of weld pool processing for defect recognition
– Materials Today Communications, 2025

Thermal-assisted underwater friction stir welding study
– Journal of Thermoplastic Composite Materials, 2025

Augmentation method of fatigue data based on CTGAN
– Fracture and Structural Integrity, 2025

Dr. Aiai Wang | Machine Learning | Best Researcher Award

Dr. Aiai Wang | Machine Learning | Best Researcher Award

Doctoral student, University of Science and Technology Beijing, China

Ai-Ai Wang is a passionate and dedicated young researcher born in March 1998 in Langfang, Hebei Province, China. A proud member of the Communist Party of China (CPC), she is currently based at the University of Science and Technology Beijing (USTB), where she serves as the Secretary of the 16th Party Branch, 4 Zhaizhai. With a solid academic foundation in mining and civil engineering, Ai-Ai has excelled in both academic and research spheres, contributing significantly to digital and intelligent mining technologies. Her work emphasizes physical dynamics in tailings sand cementation and filling, showing strong potential for innovation in sustainable mining practices.

Publication Profile

Scopus

🎓Education Background:

Ai-Ai Wang completed her Bachelor of Science in Mining Engineering from North China University of Science and Technology in 2021. She further pursued her Master’s degree in Civil Engineering at the University of Science and Technology Beijing (2021.09–2024.06), affiliated with the School of Civil and Resource Engineering.

🛠️Professional Experience:

Alongside her academic journey, Ai-Ai has undertaken significant responsibilities, currently serving as Secretary of the Party Branch at USTB. Her leadership extends beyond administration into collaborative research projects, software development, and patent contributions under renowned mentors such as Prof. Cao Shuai. She has played vital roles in developing intelligent systems for mining operations, reinforcing her multidisciplinary strengths.

🏅Awards and Honors:

Ai-Ai Wang has been recognized extensively for her academic and research excellence. Notable accolades include the “Top Ten Academic Stars” at USTB (2023), a National Scholarship for Master’s Degree Students (2022), the prestigious Taishan Iron and Steel Scholarship (2023), and multiple First-Class Academic Scholarships from USTB. She was twice named an Outstanding Three-Good Graduate Student and honored by her school as an outstanding individual. Moreover, she has received scientific awards such as the First Prize from the China Gold Association and the Second Prize from the China Nonferrous Metals Industry for her impactful contributions to green and safe mining.

🔬Research Focus:

Ai-Ai Wang’s research is rooted in advanced techniques of tailings sand cementation, intelligent filling systems, and digital mining. She explores the structural stability of backfills, application of nanomaterials, and CT-based 3D modeling of internal structures. Her work blends civil engineering, environmental safety, and digital innovation, aiming to enhance sustainability and efficiency in modern mining. She also contributes to cutting-edge software systems and patented technologies for mining design and operation support.

📝Conclusion:

Ai-Ai Wang stands out as a promising engineer and researcher whose academic achievements, professional dedication, and innovative research in intelligent mining set a high standard for future civil and mining engineers. Her trajectory reflects not just technical mastery but a deep commitment to sustainable and smart engineering solutions in the mining industry.

📚Top Publications with Details

Effect of height to diameter ratio on dynamic characteristics of cemented tailings backfills with fiber reinforcement through impact loading – Construction and Building Materials, 2022
Cited by: 26 articles
Influence of types and contents of nano cellulose materials as reinforcement on stability performance of cementitious tailings backfill – Construction and Building Materials, 2022
Cited by: 20 articles
Quantitative analysis of pore characteristics of nanocellulose reinforced cementitious tailings fills using 3D reconstruction of CT images – Journal of Materials Research and Technology, 2023
Cited by: 12 articles