Dr. Yangyang Xin | Team Building and Team Management | Best Researcher Award

Dr. Yangyang Xin | Team Building and Team Management | Best Researcher Award 

Northwestern Polytechnical University, China 

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🎓 Early Academic Pursuits

Yangyang Xin’s academic journey began at Northwestern Polytechnical University, where he pursued a deep interest in chemistry and chemical engineering. His early dedication to the field was evident as he consistently excelled in his studies, securing the prestigious first-class academic scholarship and being honored as an outstanding graduate student. These achievements laid the foundation for his future research endeavors and set the stage for his commitment to advancing the field of chemical engineering.

🧪 Professional Endeavors and Research Focus

Currently a PhD candidate at the School of Chemistry and Chemical Engineering, Northwestern Polytechnical University, Yangyang Xin is deeply involved in cutting-edge research that focuses on gas adsorption in porous liquids and epoxy resin composites. His work is at the forefront of developing innovative solutions to some of the most pressing challenges in chemical engineering, particularly in the area of CO2 capture.

One of his notable research projects includes the development of a novel “pore-carrier transfer” strategy for the preparation of porous liquids, which has shown significant promise for efficient CO2 capture. This strategy, which was first introduced by Yangyang, has the potential to revolutionize the field by enabling the creation of porous platforms based on UiO-66-NH2 and MXene, facilitating the effective utilization of sorption sites. This groundbreaking approach offers a novel method for developing porous liquids (PLs) that can be applied to various gas sorption applications.

🏆 Accolades and Recognition

Throughout his academic career, Yangyang Xin has received several accolades that reflect his commitment to excellence in research. His work has been published in top-tier scientific journals, including the Chemical Engineering Journal, Nano Research, and the New Journal of Chemistry. These publications highlight his significant contributions to the field and underscore his role as an emerging leader in chemical engineering research.

Yangyang’s most recent publication in the Chemical Engineering Journal (2024) presents his pioneering “pore-carrier transfer” strategy, which has garnered attention for its potential to enhance CO2 capture efficiency. His other publications also demonstrate a consistent focus on developing low-viscosity porous liquids and post-synthetic modification techniques to improve gas adsorption properties.

🌍 Impact and Influence

Yangyang Xin’s research is not just academically rigorous; it has profound implications for addressing global environmental challenges. His focus on CO2 capture aligns with the urgent need to mitigate climate change by reducing greenhouse gas emissions. The innovative strategies he has developed for constructing porous liquids are likely to influence future research in the field and could lead to practical applications in industrial processes aimed at reducing carbon footprints.

Furthermore, Yangyang’s work contributes to the broader scientific community by providing new methodologies that other researchers can build upon. His “like dissolves like” approach to constructing low-viscosity porous liquids, for instance, is a generalizable strategy that can be applied to various materials, thereby expanding the scope of research in this area.

👥 Legacy and Future Contributions

Looking ahead, Yangyang Xin is poised to continue making significant contributions to the field of chemical engineering. His research on porous liquids and CO2 capture is just the beginning of what promises to be a long and impactful career. As he progresses in his academic and professional journey, Yangyang aims to further explore the potential of porous materials and two-dimensional materials in gas sorption applications. His goal is to develop more efficient and sustainable methods for capturing greenhouse gases, thereby contributing to global efforts to combat climate change.

In addition to his research, Yangyang is committed to mentoring the next generation of scientists. He recognizes the importance of sharing knowledge and fostering a collaborative research environment. His future endeavors will likely include collaborative projects with other researchers, as well as contributions to academic and professional communities through conferences, publications, and teaching.

🌟 Highlighting a Bright Future

Yangyang Xin’s work in chemical engineering is marked by innovation, dedication, and a clear vision for the future. His early achievements and ongoing research have already begun to make a significant impact on the field. As he continues to explore new frontiers in gas adsorption and porous liquids, Yangyang is set to leave a lasting legacy that will benefit both the scientific community and the world at large.

With his sights set on solving some of the most challenging problems in environmental science and engineering, Yangyang Xin is undoubtedly a researcher to watch. His contributions not only advance the understanding of chemical processes but also offer practical solutions that can help create a more sustainable future.

Publications 

Latent heat type nanofluid based on MXene and MoS2 modified hierarchical structured phase change nanocapsules for sustainable and efficient light-heat conversion

Authors: Not provided

Journal: Chemical Engineering Journal

Year: 2024

Insight into the mechanical properties and thermal expansion behavior of epoxy nanocomposites reinforced with multi‐walled carbon nanotube solvent‐free nanofluids

Authors: Not provided

Journal: Polymer Composites

Year: 2024

Robust and stretchable Ti3C2Tx MXene/PEI conductive composite dual-network hydrogels for ultrasensitive strain sensing

Authors: Not provided

Journal: Composites Part A: Applied Science and Manufacturing

Year: 2024

A transparent and robust ionogel prepared via phase separation for sensitive strain sensing

Authors: Not provided

Journal: Journal of Materials Chemistry

Year: 2024

Preparation of tough and stiff ionogels via phase separation

Authors: Not provided

Journal: Materials Horizons

Year: 2024

Dr. Haiyan Jiang | Team Building and Team Management | Best Researcher Award

Dr. Haiyan jiang ,Team Building and Team Management, Best Researcher Award

Department of Intelligent Equipment, Shandong University of Science & Technology, Tai-an, China

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Scopus 

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📚Early Academic Pursuits 

Haiyan Jiang’s journey in the fields of intelligent detection technology, robot technology, and pattern recognition began with a strong foundation in academics. She pursued rigorous studies, acquiring a deep understanding of cutting-edge theories and technologies. Her early academic career was marked by a commitment to mastering the principles of experiment design, data collection, and analysis. This academic rigor laid the groundwork for her subsequent research and teaching endeavors.

🛠️Professional Endeavors 

As an educator and researcher, Haiyan Jiang has significantly contributed to both national and provincial scientific research projects. She has been involved in various educational and teaching research initiatives, demonstrating a strong dedication to advancing knowledge in her field. Her professional journey is characterized by leadership in editing and compiling textbooks and monographs, which serve as valuable resources for students and fellow researchers alike.

Haiyan Jiang has a wealth of experience in applying innovative thinking to solve complex problems. Her ability to design experiments and draw meaningful conclusions has been a cornerstone of her teaching and research. She has published numerous papers in high-impact journals, highlighting her expertise and contributions to the scientific community.

🔍Contributions and Research Focus 

Haiyan Jiang’s research has primarily focused on intelligent detection technology, robot technology, and pattern recognition. Her work has involved the development and application of advanced algorithms and models to solve practical problems in these areas. Some of her notable research publications include:

  1. Coal-gangue recognition via multi-branch convolutional neural network based on MFCC in noisy environment – Published in Scientific Reports, 2023, this paper explores the use of multi-branch convolutional neural networks for coal-gangue recognition in noisy environments.
  2. Adaptive multiswarm particle swarm optimization for tuning parameter optimization of three-element dynamic vibration absorber – This study, published in Mechanical Sciences, focuses on optimizing parameters using adaptive multiswarm particle swarm optimization.
  3. State Diagnosis of Elevator Control Transformer over Vibration Signal Based on MEA-BP Neural Network – Published in Shock and Vibration, 2021, this research addresses state diagnosis using MEA-BP neural networks.
  4. Rule-based expert system to assess caving output ratio in top coal caving – Featured in PLOS ONE, 2020, this paper presents a rule-based expert system for assessing caving output ratios.
  5. Feature selection based on FDA and F-score for multi-class classification – Published in Expert Systems with Applications, 2017, this study focuses on feature selection techniques for multi-class classification.
  6. An automatic decision approach to coal–rock recognition in top coal caving based on MF-Score – This research, published in Pattern Analysis & Applications, 2017, proposes an automatic decision approach for coal-rock recognition.

🏆Accolades and Recognition 

Haiyan Jiang’s dedication and achievements have not gone unnoticed. Her work has been recognized with various awards, including a notable mention for the “Best Researcher Award” for her article on the extreme obstacle-crossing performance and multi-objective optimization of tracked mobile robots. This recognition is a testament to her relentless efforts and contributions to her field.

🌍Impact and Influence 

Throughout her career, Haiyan Jiang has made a significant impact on the scientific community and the field of intelligent detection technology. Her research has advanced the understanding and application of complex algorithms and models, providing solutions to real-world problems. Her publications have been widely cited, influencing further research and development in related areas.

🌟Legacy and Future Contributions 

Looking forward, Haiyan Jiang aims to continue her in-depth exploration in robot motion control and path planning. Her future research will likely contribute to the development of more sophisticated and efficient robotic systems. She is committed to pushing the boundaries of knowledge and technology in her field, ensuring her legacy as a pioneer in intelligent detection and robotics.

Haiyan Jiang’s career is a testament to her passion for research, her innovative approach to problem-solving, and her dedication to advancing knowledge. Her contributions have left a lasting mark on her field, and her future endeavors promise to further elevate her influence and impact.

Publications 

Coal-gangue recognition via multi-branch convolutional neural network based on MFCC in noisy environment

    • Authors: Haiyan Jiang, Dashuai Zong, Qingjun Song, ZhiJiang Liu, Jing Tian
    • Journal: Scientific Reports
    • Year: 2023

Semantic Segmentation of In-Vehicle Point Cloud With Improved RangeNet++ Loss Function

    • Authors: Jia Zhang, Haiyan Jiang, Huizhi Shao, Xiaofeng Wang, Dashuai Zong
    • Journal: IEEE Access
    • Year: 2023

Longitudinal Vibration Characteristics of Deep Sea Mining Pipe Based on ABAQUS | 基于 ABAQUS 的深海采矿扬矿管纵向振动性能

    • Authors: Qinghui Song, Linjing Xiao, Haiyan Jiang, Xun Liu, Fan Yan
    • Journal: Xinan Jiaotong Daxue Xuebao/Journal of Southwest Jiaotong University
    • Year: 2022

Adaptive multiswarm particle swarm optimization for tuning the parameter optimization of a three-element dynamic vibration absorber

    • Authors: Qinghui Song, Linjing Xiao, Qingjun Song, Haiyan Jiang, Xun Liu
    • Journal: Mechanical Sciences
    • Year: 2022

Dynamic behavior of lifting pipe with equivalent model under mining vessel heave motion

    • Authors: Qinghui Song, Haiyan Jiang, Qingjun Song, Linjing Xiao, Fan Yan
    • Journal: Journal of Mechanical Science and Technology
    • Year: 2022