Jiale Li | Engineering | Young Scientist Award

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Dr. Jiale Li | Engineering | Young Scientist Award

Researcher Assistant, Tianjin University China

Jiale Li, born in March 1997 in Handan, Hebei, is a Hydraulic Engineering researcher and innovator. He is completing a Direct-Entry Ph.D. at Tianjin University (2019–2024) and earned a Bachelor’s in Hydraulic Engineering from Lanzhou University of Technology (2015–2019). His expertise lies in offshore wind power, focusing on innovative equipment design, hydrodynamic characteristics of floating structures, and scour protection of wind power foundations. With 10 published papers, including 7 SCI-class A articles, and 9 authorized patents, he actively contributes to advancing renewable energy solutions. Jiale is a recipient of several academic accolades, including the “Young Talent” award.

Professional Profile 

🎓Education

Ph.D. in Hydraulic Engineering (Tianjin University, 2019–2024): Researching offshore wind power, focusing on innovative equipment design and scour protection. Bachelor’s in Hydraulic Engineering (Lanzhou University of Technology, 2015–2019): Specialized in water conservancy and renewable energy foundations. Skills: Proficient in Abaqus, Ansys, Sesam, MATLAB, and Origin. Fluent in English (CET-6 certified).

💼Experience

Ph.D. Researcher, Tianjin University (2019–2024): Conducted R&D in offshore wind turbine foundations, hydrodynamic analysis, and structural monitoring systems. Project Contributor: Participated in multiple national offshore wind power projects, including designs for Zhuhai Guishan Wind Farm and Fujian Deep-Sea Area technologies. Reviewer: Served as an academic reviewer for Ocean Engineering and other top journals.

🏆Award and Honor

Young Talent Award, China Energy Research Society (2025). Outstanding Doctoral Dissertation, Tianjin University (2024). National Scholarship for Doctoral Students (2023). Zhang Guangdou Outstanding Student Scholarship (2022). 8th “Top 10 Future Water Conservancy Stars” Award, National Water Conservancy Universities (2018).

🔬 Research Focus

Offshore Wind Power: Developing innovative floating platforms and cylindrical foundations. Hydrodynamic Analysis: Enhancing stability and efficiency of offshore structures. Scour Protection: Investigating safety and performance of wind turbine foundations. Interdisciplinary Solutions: Integrating wind, solar, and fisheries for sustainable marine resource

Publications Top Noted

  • Title: Experimental study on current-induced local scour and pre-embedded protective measures of multi-bucket jacket foundation for offshore wind turbines
    Year: 2025
    Authors: Jiale Li, Jijian Lian, Yaohua Guo, Xiaofeng Dong, Yang Gao
    Citation: Coastal Engineering, DOI: 10.1016/j.coastaleng.2025.104703

 

  • Title: Concept design and floating installation method study of multi-bucket foundation floating platform for offshore wind turbines
    Year: 2024
    Authors: Jiale Li, Jijian Lian, Yaohua Guo, Haijun Wang
    Citation: Marine Structures, DOI: 10.1016/j.marstruc.2023.103541

 

  • Title: Seismic response and liquefaction characteristics of wide and shallow multi-bucket jacket foundation under scour conditions
    Year: 2023
    Authors: Jiale Li, Jijian Lian, Yaohua Guo, Haijun Wang
    Citation: Ocean Engineering, DOI: 10.1016/j.oceaneng.2023.115816

 

  • Title: Mechanisms, assessments, countermeasures, and prospects for offshore wind turbine foundation scour research
    Year: 2023
    Authors: Jiale Li, Yaohua Guo, Jijian Lian, Haijun Wang
    Citation: Ocean Engineering, DOI: 10.1016/j.oceaneng.2023.114893

 

  • Title: Numerical study of the local scour characteristics of bottom-supported installation platforms during the installation of a monopile
    Year: 2023
    Authors: Jiale Li, Jijian Lian, Haijun Wang, Yaohua Guo, Sha Liu, Yutong Zhang, FengWu Zhang
    Citation: Ships and Offshore Structures, DOI: 10.1080/17445302.2023.2243700

 

  • Title: Scour effects on the bearing capacity of multi-bucket jacket foundation for offshore wind turbines
    Year: 2022
    Authors: Jiale Li
    Citation: Ocean Engineering, DOI: 10.1016/j.oceaneng.2022.111848

 

  • Title: Numerical study on local scour characteristics of multi-bucket jacket foundation considering exposed height
    Year: 2022
    Authors: Jiale Li
    Citation: Applied Ocean Research, DOI: 10.1016/j.apor.2022.103092

 

  • Title: Numerical study on scour protection effect of monopile foundation based on disturbance structure
    Year: 2022
    Authors: Jiale Li, Jijian Lian, Yaohua Guo, Haijun Wang, Xu Yang
    Citation: Ocean Engineering, DOI: 10.1016/j.oceaneng.2022.110856

 

Chi Ma | Mechanical Design | Best Scholar Award

Published on by Young Scientists Awards

Assoc Prof Dr. Chi Ma ‌ | Mechanical Design|Best Scholar Award 

Assoc Prof Dr at Chi Ma Chongqing University China

Dr. Ma Chi, an Associate Professor at Chongqing University, specializes in numerical control equipment. Over the past five years, he has authored or coauthored 40 SCI papers with an average impact factor of 6.7355, earning over 1700 citations. His research, published in top journals like Int. J. Mach. Tools Manuf. and ASME’s J. Manuf. Sci. E-T, has garnered significant academic and industrial acclaim. He holds more than 20 national invention patents, contributing to substantial economic and social benefits. Dr. Ma has led six major research projects and serves on several prestigious editorial and professional committees.

Profile

 

 

📚Education 

Ph.D. in Mechanical Engineering, Xi’an Jiaotong University (2012-2017) Advisor: Prof. Xuesong Mei. B.Eng. in Mechanical Design, Manufacture, and Automation, Xi’an Technological University (2008-2012)

✨ Work Experience

Postdoctoral Fellow / Associate Professor, Chongqing University (2018-Present) Lecturer, Chongqing University (2018-2020) Joint Ph.D. Student, University of California, Berkeley (2016-2017) Advisor: Prof. David B. Bogy

🧑‍🔬Research Interests

High-efficiency and precision processing, Thermal error prediction and compensation in machining equipment, Simulation modeling of machining errors, Topology optimization in cooling systems for machining tools

🏅 Professional Achievements

Publications: Authored/coauthored 50 SCI papers, average impact factor: 6.7355 Key journals: Int. J. Mach. Tools Manuf., ASME’s J. Manuf. Sci. E-T, J. Manuf. Process., Mech. Syst. Signal Pr. Citations: Over 1700 on SCI. Patents: Holds over 20 national invention patents. Projects: Presided over six major scientific research projects including National Key Research and Development Plan projects Participated in multiple high-profile projects like National Defence Project, National Natural Science Foundation key projects. Awards: First Prize of Chongqing Municipal Scientific and Technological Progress First Prize of Technological Invention of Machinery Industry Silver Prize of the 24th China Patent Award

📊 Project Undertaking

I have presided over a total of six scientific research projects including the National Key Research and Development Plan projects, the National Natural Science Foundation of China (NSFC) top/youth projects, the Chongqing Natural Science Foundation top projects, the China Postdoctoral Science Foundation, and the Chongqing Municipal Overseas Returned Scholars Support Plan projects, and participated in two major special projects, the National Defence Project, the National Natural Science Foundation key projects, the 04 Scientific and Technological Major Special Projects, and the National Key Research and Development Plan projects, among others, for six projects.

 

Publications Top Notes 📝

 

  1. 📄 Li M, Ma C*, Zeng S, et al. Cooling water jacket design of motorized spindle system using multi-objective topology optimization[J]. Applied Thermal Engineering, 2023, 224: 120112.
    🔗 https://doi.org/10.1016/j.applthermaleng.2023.120112
  2. 📄 Li M, Zeng S, Hu J, Ma C*. Free-mounted cooling plate multi-objective topology optimization method towards precision machine tool heat dissipation An experimental and numerical study[J]. International Journal of Heat and Mass Transfer, 2023, 241: 124394.
    🔗 https://doi.org/10.1016/j.ijheatmasstransfer.2023.124394
  3. 📄 Li M, Ma C*, Liu J, et al. Topology optimization design of cooling water jacket structure for high-speed spindle-bearing system[J]. Journal of Manufacturing Processes, 2023, 102: 1-22.
    🔗 https://doi.org/10.1016/j.jmapro.2023.07.034
  4. 📄 Li M, Ma C*, Liu J, et al. Thermal error prediction of precision boring machine tools based on extreme gradient boosting algorithm-improved sailed fish optimizer-bi-directional ordered neurons-long short-term memory neural network model and physical-edge-cloud system[J]. Engineering Applications of Artificial Intelligence, 2024, 127: 107278.
    🔗 https://doi.org/10.1016/j.engappai.2023.107278
  5. 📄 Luo F, Ma C*, Liu J, et al. Effect of gas-liquid phase change of axial rotating heat pipe on fluid-thermal-solid behaviors of high-speed spindle[J]. Applied Thermal Engineering, 2023, 232: 121117.
    🔗 https://doi.org/10.1016/j.applthermaleng.2023.121117
  6. 📄 Luo F, Ma C*, Liu J, et al. Theoretical and experimental study on rotating heat pipe towards thermal error control of motorized spindle[J]. International Journal of Thermal Sciences, 2023, 185: 108095.
    🔗 https://doi.org/10.1016/j.ijthermalsci.2022.108095
  7. 📄 Zeng S, Ma C*, Liu J, et al. Sequence-to-sequence based LSTM network modeling and its application in thermal error control framework[J]. Applied Soft Computing, 2023, 138: 110221.
    🔗 https://doi.org/10.1016/j.asoc.2023.110221
  8. 📄 Gui H, Liu J, Ma C*, et al. Industrial-oriented machine learning big data framework for temporal-spatial error prediction and control with DTSMGCN model[J]. Journal of Intelligent Manufacturing, 2023.
    🔗 https://doi.org/10.1007/s10845-023-02095-3
  9. 📄 Zhang L, Liu J, Ma C*, et al. Intelligent integrated framework towards high-accuracy machining[J]. Engineering Science and Technology, an International Journal, 2023, 40: 101359.
    🔗 https://doi.org/10.1016/j.jestch.2023.101359
  10. 📄 Luo F, Ma C*, Liu J, et al. Thermal error prediction and control method combining residua-based one-dimensional convolution-minimum gate unit model with physical-data-edge-cloud terminal architecture[J]. Neural Computing and Applications, 2023, 41: 103234.