Lin Liu | Petroleum Mechanical Engineering | Best Researcher Award

Posted on by Academic achievements

Assoc. Prof. Dr. Lin Liu | Petroleum Mechanical Engineering | Best Researcher Award

Associate Professor | Northeast Petroleum University | China

Lin Liu is an accomplished associate professor at Northeast Petroleum University, specializing in advanced separation technologies in heterogeneous media. With a strong academic foundation and years of innovative research, Lin Liu has contributed significantly to fields such as hydrocyclone separation, wastewater treatment, and computational fluid dynamics (CFD). Their expertise extends to multiphase media processing, developing sustainable solutions for complex separation challenges in oilfields and industrial applications.

Profile

Orcid

Education

Lin Liu pursued higher education with a focus on chemical and environmental engineering, culminating in advanced degrees that laid the foundation for their specialization in fluid dynamics and separation technologies. Lin Liu’s education instilled a multidisciplinary approach to addressing global challenges, emphasizing innovative problem-solving and sustainable engineering solutions.

Experience

Lin Liu has extensive experience in both academic and industrial settings. As an associate professor, Lin Liu has led numerous research projects, collaborated internationally, and supervised students in cutting-edge separation technologies. Their career spans research on hydrocyclone oil-water separation, produced liquids processing, and wastewater treatment, contributing to advancements in energy and environmental sectors. Lin Liu has also collaborated with prominent researchers and industries, translating theoretical insights into practical applications.

Research Interests

Lin Liu’s research interests center on heterogeneous media separations using physical methods. Key areas of focus include:

  • Hydrocyclone and gravity sedimentation technologies for separating multiphase media.
  • Downhole hydrocyclone oil-water separation integrated with single-well injection-production.
  • Wastewater treatment and produced liquids separation in land-based and offshore oilfields.

Employing methods such as CFD simulation, indoor separation testing, machine learning for performance prediction, and multi-objective optimization, Lin Liu advances efficient, scalable separation processes.

Awards

Lin Liu’s research excellence has been recognized with several prestigious accolades, including the Wiley Top Cited Article (2021–2022) for contributions to hydrocyclone geometry optimization. This recognition highlights Lin Liu’s impact on academic and industrial communities through innovative solutions for separation challenges.

Publications

Lin Liu has published extensively in high-impact journals, showcasing expertise in fluid separation technologies. Below are selected publications:

  1. “Microplastics Separation Using Stainless Steel Mini-Hydrocyclones Fabricated with Additive Manufacturing”
    Science of The Total Environment, 2022 – Impact Factor (IF): 10.763, Cited by 45 articles.
  2. “Innovative Design and Study of an Oil-Water Coupling Separation Magnetic Hydrocyclone”
    Separation and Purification Technology, 2019 – IF: 9.136, Cited by 38 articles.
  3. “Mini-hydrocyclones in Water: State-of-the-Art”
    Green Chemical Engineering, 2024 – IF: 9.1, Cited by 12 articles.
  4. “Separation Performance of Hydrocyclones with Medium Rearrangement Internals”
    Journal of Environmental Chemical Engineering, 2021 – IF: 7.968, Cited by 25 articles.
  5. “Research on the Enhancement of the Separation Efficiency for Discrete Phases Based on Mini Hydrocyclone”
    Journal of Marine Science and Engineering, 2022 – IF: 2.744, Cited by 15 articles.
  6. “Analysis of Hydrocyclone Geometry via Rapid Optimization Based on Computational Fluid Dynamics”
    Chemical Engineering & Technology, 2021 – IF: 2.215, Cited by 30 articles.
  7. “Influence Mechanism of Hydrocyclone Main Diameter on Separation Performance”
    Physics of Fluids, 2024 – IF: 4.6, Cited by 18 articles.

Conclusion

Lin Liu’s career reflects a dedication to advancing the science and engineering of separation technologies, addressing critical challenges in energy and environmental domains. With groundbreaking research, impactful publications, and collaborative efforts, Lin Liu continues to push the boundaries of sustainable engineering solutions, making significant contributions to academia and industry.

Yingyuan Liu | Engineering | Women Researcher Award

Posted on by Academic achievements

Ms. Yingyuan Liu | Engineering | Women Researcher Award

Professor | Shanghai Normal university | China

Dr. Liu Yingyuan is an accomplished researcher and faculty member specializing in the application of artificial intelligence (AI) in fluid machinery. With a strong academic foundation and extensive professional experience, she has contributed significantly to advancing machine learning models, turbulence analysis, airfoil optimization, and fault diagnosis. Currently serving at Shanghai Normal University, Dr. Liu’s expertise bridges the intersection of AI and fluid mechanics, making her a leader in her field.

Profile

Scopus

Education

Dr. Liu Yingyuan earned her Ph.D. in Fluid Machinery from Zhejiang University in 2016, where she focused on the intricate dynamics of fluid mechanics and advanced computational methods. Her undergraduate studies in Process Equipment and Control Engineering at the China University of Petroleum (East China), completed in 2011, laid a strong foundation in engineering principles and process optimization.

Experience

Dr. Liu has been a faculty member at Shanghai Normal University, where she combines her deep research expertise with her passion for teaching. Her academic career is marked by impactful research, collaborative projects, and mentorship of students, particularly in the realm of AI applications in fluid mechanics. Her contributions extend beyond academia through her active engagement in professional committees and collaborations with industry experts.

Research Interests

Dr. Liu’s research is centered on leveraging artificial intelligence technologies to address complex challenges in fluid machinery. Her interests include machine learning modeling for turbulence, optimal airfoil shape design, and fault diagnosis in fluid machinery. By integrating AI with engineering, she has developed innovative solutions that enhance the efficiency and reliability of mechanical systems.

Awards

Dr. Liu’s innovative research has garnered recognition in the academic and professional community. Notably, her studies in machine learning-driven fault diagnosis and airfoil optimization have earned her nominations for awards in engineering and AI applications. Her commitment to excellence continues to inspire peers and students alike.

Publications

  1. Liu YY, Shen JX, Yang PP, Yang XW. A CNN-PINN-DRL driven method for shape optimization of airfoils. Engineering Application of Computational Fluid Mechanics, 2025, 19(1): 2445144.
    • Cited by: Researchers developing AI-driven aerodynamics models.
  2. Shen JX, Liu YY, Wang Leqin.* A Deep Learning-Based Method for Airfoil Parametric Modeling. Chinese Journal of Engineering Design, 2024, 31(03): 292-300.
    • Cited by: Articles on parametric modeling techniques.
  3. Liu D, Liu YY. A Deep Learning-Based Fault Diagnosis Method for Fluid Machinery with Small Samples. Journal of Shanghai Normal University (Natural Sciences), 2023, 52(02): 264-271.
    • Cited by: Studies on fault diagnosis in mechanical systems.
  4. Liu YY, Gong JG, An K, Wang LQ. Cavitation Characteristics and Hydrodynamic Radial Forces of a Reversible Pump–Turbine at Pump Mode. Journal of Energy Engineering, 2020, 146(6): 04020066.
    • Cited by: Publications on hydrodynamics and pump-turbine systems.
  5. Liu Y Y, An K, Liu H, et al. Numerical and experimental studies on flow performances and hydraulic radial forces of an internal gear pump with a high pressure. Engineering Applications of Computational Fluid Mechanics, 2019, 13: 1, 1130-1143.
    • Cited by: Research focused on internal gear pump performance.
  6. Liu Y Y, Wang L Q, Zhu Z C.* Experimental and numerical studies on the effect of inlet pressure on cavitating flows in rotor pumps. Journal of Engineering Research, 2016, 4(2): 151-171.
    • Cited by: Studies on cavitation phenomena in rotor pumps.
  7. Liu Y Y, Wang L Q, Zhu Z C.* Numerical study on flow characteristics of rotor pumps including cavitation. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 2015, 229(14): 2626-2638.
    • Cited by: Articles on numerical modeling of fluid flows.

Conclusion

Dr. Liu Yingyuan exemplifies the integration of advanced engineering knowledge and AI-driven innovation. Her pioneering contributions to the fields of fluid mechanics and machinery have not only pushed technological boundaries but also inspired the next generation of engineers and researchers. Dr. Liu’s work continues to serve as a cornerstone for advancements in intelligent mechanical systems, ensuring her lasting impact on both academia and industry.