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.
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
Wadde Chandra (b. February 14, 1995) is a passionate researcher and academic in mmWave imaging and Internet of Things (IoT). Based in Siddarampuram, Andhra Pradesh, he is currently pursuing a Ph.D. at SRM University, AP, focusing on mmWave FMCW radar systems. Chandra has over two years of teaching experience and has worked on diverse IoT, AI, and radar imaging projects. His work includes significant research in near-field imaging and data analysis using Power BI. Fluent in Telugu and English, he is committed to advancing innovative technologies and contributing to academia and industry.
Ph.D. (2023–Present): mmWave Imaging via FMCW Radar, SRM University, AP. M.Tech (2018–2021): Internet of Things, JNTUA College of Engineering, Ananthapur. B.Tech (2014–2017): Electronics & Communication Engineering, JNTUA College of Engineering, Ananthapur. Diploma (2010–2013): Electronics & Communication Engineering, ARIES Polytechnic College. SSC (Schooling): Sri Sathya Sai Deenajanodharana Pathakam, Puttaparthi.
🏢 Experience
Assistant Professor (2022–2023): Gudlavalleru Engineering College, handled IoT, Machine Learning, and Instrumentation. Assistant Professor (2021–2022): Sanskrithi School of Engineering, taught Analog Circuits and Communication Systems. Internships: DQA & Power BI Analysis (Efftronics Pvt. Ltd., Vijayawada, 2020–2021). ATCS Traffic Control System (Efftronics Pvt. Ltd., 2018–2019). CI & Lean Leader (Amara Raja Electronics, 2013).
🏆 Awards & Honors
Accepted papers in SPACE 2024 and MAPCON 2024 for mmWave radar innovations. Multiple journal submissions to IEEE SENSOR Journal in progress. Presented impactful work on SAR modeling, AI, and radar technology at prestigious conferences. Recognition in professional internships for automation, data analytics, and innovation in radar technology.
🔬 Research Focus
mmWave Imaging: Advanced radar techniques, 2D SAR imaging, and wall-interference modeling. Internet of Things (IoT): Seamless integration of smart devices and systems. Artificial Intelligence (AI): Machine learning applications in imaging and data analytics. Data Analysis: Power BI for large-scale fault detection and performance metrics.
Conclusion
Wadde Chandra’s solid educational background, hands-on research experience, and contributions to conferences make him a strong candidate for the Best Researcher Award. Continued progress in publishing impactful journal articles and expanding his professional network would bolster his candidacy and establish him as a prominent figure in his research fields.
📚Publications
Modeling of mmWave FMCW Radar System for 2D SAR Imaging
Conference: 2024 IEEE Space, Aerospace and Defence Conference (SPACE 2024)
Year: 2024
Pages: 1109–1112
Authors: Wadde, C.; Karvande, R.S.; Kumar, R.
Preliminary Analysis of mmWave SAR Model and Machine Learning Approach
Conference: 2024 IEEE Space, Aerospace and Defence Conference (SPACE 2024)
Year: 2024
Pages: 1148–1151
Authors: Wadde, C.; Routhu, G.; Karvande, R.S.; Kumar, R.