Mr. Zhenyu Liu | Simulation Algorithms | Best Researcher Award

Inner Mongolia Agricultural University | China

Zhenyu Liu is a master’s degree candidate at the College of Mechanical and Electrical Engineering, Inner Mongolia Agricultural University, specializing in agricultural engineering and information technology with a strong research focus on smart agricultural equipment and simulation-based optimization. His scholarly contributions include peer-reviewed publications indexed in SCI and Scopus, accompanied by documented citations and available research records. His Scopus profile reflects two indexed documents with an h-index of one, while Google Scholar also lists his publications and citations, verifying his emerging academic presence. His research documents, citation metrics, and publication outputs collectively highlight his early but impactful scientific development.

Publication Profile

Scopus

Education Background

Zhenyu Liu is currently pursuing a master’s degree at the College of Mechanical and Electrical Engineering, Inner Mongolia Agricultural University, where he has developed a strong foundation in agricultural engineering, information technology, and intelligent equipment design. His coursework emphasizes agricultural machinery systems, discrete element simulations, and engineering data analysis. His academic journey is supported by participation in nationally guided scientific development projects, where he has gained experience in research documentation, simulation modeling, and practical field experimentation. His education further includes training in advanced software tools and exposure to interdisciplinary agricultural technologies that strengthen his capability for independent research and scientific publication.

Professional Experience

Zhenyu Liu has developed his professional experience through active involvement in research tasks within a Central Government Guided Local Science and Technology Development Fund Project, where he contributed to simulation design, model calibration, and mechanical interface analysis. His experience includes operation of agricultural machinery, execution of engineering experiments, and preparation of research documents for scientific dissemination. He has collaborated with faculty teams in analyzing agricultural material behavior using EDEM, preparing manuscripts for SCI journals, and documenting experimental outcomes. His professional exposure also extends to patent development, agricultural equipment evaluation, and contributing to collaborative academic outputs verified through Scopus and Google Scholar records.

Awards and Honors

Zhenyu Liu’s achievements include securing three authorized Chinese utility model patents related to agricultural machinery design and optimization, reflecting his commitment to research innovation. His publications in SCI-indexed journals demonstrate recognized scientific contribution, supported by citation records that validate his research impact. His documented output in Scopus and Google Scholar enhances his academic credibility, while participation in government-funded scientific research adds value to his professional development. Although early in his career, these accomplishments serve as evidence of his dedication to advancing agricultural engineering knowledge and earning academic recognition through verifiable documents, indexed publications, and measurable citation performance.

Research Focus

Zhenyu Liu’s research centers on smart agricultural machinery, discrete element simulation, agricultural material behavior modeling, and engineering optimization for crop mechanization. His work emphasizes calibration of simulation parameters, analysis of seed-material interactions, and evaluation of agricultural equipment performance through experimental validation. With publications indexed in SCI and Scopus, his research outputs are supported by documented citations and scholarly visibility across recognized databases. His focus also includes improving agricultural production efficiency using computational tools, advancing interface modeling of agricultural materials, and contributing verified scientific findings through peer-reviewed articles and research documents that showcase his growing academic and technical expertise.

Publications

Liu, Z., Yan, J., Liu, F., & Wang, L. (2025). Calibration and testing of discrete element simulation parameters for the presoaked Cyperus esculentus L. rubber interface using EDEM. Agronomy. Cited by documented sources in Scopus.

Yan, J., Liu, Z., & Liu, F. (2025). Calibration and analysis of seeding parameters of soaked Cyperus esculentus L. seeds. Applied Sciences. Cited by one Scopus-indexed article.

Mr. Yulin Yang | Algorithm optimization | Best Researcher Award

Shenyang University, China

Yulin Yang is a dedicated graduate student at Shenyang University, specializing in logistics engineering and management. His research interests lie in swarm intelligence algorithm optimization and path planning, with a focus on improving computational efficiency and solving complex optimization problems. Passionate about advancing artificial intelligence techniques, he has contributed to algorithmic enhancements that improve convergence speed and search accuracy.

Publication Profile

🎓 Education:

Yulin Yang is currently pursuing a master’s degree in logistics engineering and management at Shenyang University. His academic journey is centered around algorithm optimization, particularly in swarm intelligence applications for logistics and transportation systems.

💼 Experience:

As a researcher, Yulin Yang has actively explored novel computational techniques to enhance optimization algorithms. His recent work focuses on developing hybrid whale optimization algorithms to address challenges in search precision and problem-solving capabilities. His expertise extends to route optimization and intelligent decision-making models in logistics.

🏆 Awards and Honors:

While early in his academic career, Yulin Yang’s innovative research contributions have gained recognition, leading to the publication of his work in reputed international journals. His advancements in algorithmic optimization showcase his potential as a rising researcher in the field.

🔬 Research Focus:

Yulin Yang specializes in swarm intelligence algorithm optimization, particularly in improving the performance of metaheuristic techniques. His research emphasizes solving real-world computational problems in logistics through intelligent algorithmic design, enhancing efficiency in route planning and decision-making. His notable contribution includes a multi-strategy hybrid whale optimization algorithm aimed at overcoming limitations in search accuracy and convergence speed.

🔚 Conclusion:

With a strong foundation in optimization algorithms and artificial intelligence applications in logistics, Yulin Yang is poised to make significant contributions to computational research. His commitment to innovation and problem-solving drives his ongoing research, paving the way for impactful advancements in AI-driven optimization.

📄 Publication:

Multi-Strategy Hybrid Whale Optimization Algorithm Improvement. Applied Sciences, 15(4), 2224. DOI: 10.3390/app15042224. This study presents an advanced hybrid optimization approach to address challenges in convergence speed and search efficiency.