Dr. Yin Liu | Material Simulation Techniques | Best Researcher Award

Dr. Yin Liu | Material Simulation Techniques | Best Researcher Award

Dr. Yin Liu is an Associate Professor at Guangzhou Vocational University of Science and Technology. His academic background bridges communication engineering and pulping and papermaking engineering, with postdoctoral experience at the State Key Laboratory of Advanced Papermaking & Paper-based Materials. His expertise spans cognitive radio, paper structure modeling, ink penetration processes, data mining, and automation control in industrial applications. He has published in internationally reputed journals and actively contributes to interdisciplinary research that integrates materials science, environmental engineering, and automation.

Dr. Yin Liu | Guangzhou Vocational University of Science and Technology | China

Profile

ORCID

Education

Dr. Liu completed his Bachelor’s degree in Communication Engineering and Master’s in Information and Communication Engineering at Southwest University of Science and Technology. His doctoral studies at South China University of Technology focused on Pulping and Papermaking Engineering, where he specialized in three-dimensional simulation of paper structures and automation control for wastewater treatment. This educational journey reflects his ability to integrate communication systems expertise with materials and environmental engineering, providing a strong foundation for his diverse research focus.

Experience

Dr. Yin Liu has contributed significantly to research and academia through his professional journey. He began his career as a postdoctoral researcher at the State Key Laboratory of Advanced Papermaking & Paper-based Materials, where he focused on advanced simulation techniques, paper structure modeling, and automation control in papermaking and wastewater treatment processes. Later, he transitioned into academia as an Assistant Professor at Guangzhou Vocational University of Science and Technology, where he has been actively engaged in teaching, mentoring, and leading innovative research projects in material science, data mining, and industrial automation.

Research Contributions

Dr. Liu has authored significant works in leading journals such as Science of the Total Environment, Cellulose, Journal of Water Process Engineering, and Industrial & Engineering Chemistry Research. His studies cover greenhouse gas emissions modeling in wastewater treatment, multidirectional permeability simulation of fiber networks, intelligent fault diagnosis, and optimization of recycled wastepaper processes. These contributions combine theoretical modeling with practical applications, enhancing sustainability and industrial efficiency.

Academic Activities 

Dr. Yin Liu has actively participated in significant academic events, demonstrating leadership and scholarly engagement in his field. He served as deputy secretary general at the International Paper Physics Conference held in Guangzhou, contributing to the successful organization of the event. He has also delivered oral presentations at the China Control and Decision Conference in Chongqing, where he shared his expertise in communication and control systems. Additionally, he presented his research at the Doctor Salon of the State Key Laboratory of Pulp and Paper Engineering in Guangzhou, showcasing his innovative work on paper engineering and automation processes.

Research Focus

Dr. Liu’s current research interests include paper structure modeling, ink penetration process simulation, industrial data mining, and automation control technologies. He also integrates artificial intelligence and advanced simulation techniques into communication and papermaking systems, addressing critical issues in efficiency, sustainability, and environmental protection. His research aims to provide practical, real-world solutions to industrial and ecological challenges, reflecting a strong commitment to innovation and applied science.

Publications

Preliminary Modeling of Single Pulp Fiber Using an Improved Mass–Spring Method
Authors: Yin Liu; Wenhao Shen; Douglas W. Coffin; Tao Song; Jean-Francis Bloch; Jean-Pierre Corriou
Journal: Solids (2025-09)

Modeling Greenhouse Gas Emissions from Biological Wastewater Treatment Process with Experimental Verification: A Case Study of Paper Mill
Authors: Jiahui Han; Yin Liu; Wenqing Li; Feini Huang; Wenhao Shen; Tianlong Liu; Jean-Pierre Corriou; Panagiotis Seferlis
Journal: Science of The Total Environment (2024-05)

Multidirectional Permeability Simulation for Fiber Network Based on the Pore Structure 3D Characterization by CT Scanning
Authors: Yi Wang; Yin Liu; Jiaxian Chen; Jie Xu; Wenhao Shen; Jean-Pierre Corriou
Journal: Cellulose (2024-01)

SBR-Extended Kalman Filter Model-Based Fault Diagnosis and Signal Reconstruction for the Papermaking Wastewater Treatment Process
Authors: Guoqiang Niu; Yin Liu; Jing Zhou; Xing Fan; Zhenguo Chen; Jean-Pierre Corriou; Wenhao Shen; Mingzhi Huang
Journal: Journal of Water Process Engineering (2023-12)

Hybrid Intelligent Fault Diagnosis Model Based on Improved MPCA-V for Sensors in a Laboratory-Scale Wastewater Treatment Process
Authors: Yin Liu; Guoqiang Niu; Jing Zhou; Wenhao Shen; Jean-Pierre Corriou; Panagiotis Seferlis
Journal: Industrial & Engineering Chemistry Research (2022-12-21)

Statistical Reconstruction of 3D Paper Structure Using Simulated Annealing Algorithm Based on 2D Scanning Electron Microscopy Image
Authors: Jie Xu; Yin Liu; Jiaqin Li; Wenhao Shen; Jean-Pierre Corriou
Journal: Journal of Natural Fibers (2022-11-28)

Optimal Scheduling Ratio of Recycling Waste Paper with NSGAII Based on Deinked-Pulp Properties Prediction
Authors: Yin Liu; Wenhao Shen; Yi Man; Zhang Liu; Panos Seferlis
Journal: Computers & Industrial Engineering (2019-06)

Conclusion

Dr. Yin Liu demonstrates a unique blend of expertise in communication engineering, papermaking technology, wastewater treatment, and computational modeling. His strong academic foundation, diverse work experience, impactful publications, and forward-looking research in industrial sustainability make him an excellent candidate for the Best Researcher Award.