Jiale Li | Engineering | Young Scientist Award

Posted on by ScienceFather

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 β€œYoung Talent” award.

Professional Profile 

πŸŽ“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).

πŸ’ΌExperience

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.

πŸ†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 β€œTop 10 Future Water Conservancy Stars” Award, National Water Conservancy Universities (2018).

πŸ”¬ 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

 

Chandra Wadde | Engineering | Best Researcher Award

Posted on by ScienceFather

Mr. Chandra Wadde | Engineering | Best Researcher Award

Ph.D Scholar at SRM University-AP, India

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.

Profile

Scopus

Scholar

πŸŽ“ Education 

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).

πŸ† 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.

πŸ”¬ 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.

πŸ“šPublications 

  1. 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.

 

  1. 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.

Rosa Elia Ortega Pelayo | Nuclear |Best Researcher Award

Posted on by ScienceFather

Mrs. Rosa Elia Ortega Pelayo | Nuclear | Best Researcher Award

Rosa Elia Ortega Pelayo is a Research Scientist at Canadian Nuclear Laboratories (CNL) with a MASc in Mechanics and Mechatronics Engineering from the University of Waterloo and a Bachelor’s in Mechatronics Engineering from ITESM University. At CNL, she focuses on machine learning applications in nuclear systems, developing computer models, and designing control systems. Rosa excels in project management, compliance, and mentoring. She has previously worked on oxide film formation and aluminum casting, and has strong programming skills in C++, Python, and R. She is recognized for her detail-oriented approach and problem-solving abilities.

Publication profile

Scopus

πŸŽ“ Education

MASc in Mechanics and Mechatronics Engineering, University of Waterloo, ON (Sept. 2010 – Nov. 2012). Bachelor in Mechatronics Engineering, ITESM University, Guadalajara, Mexico (Aug. 2005 – May 2010). Best Marks of the 2010 Mechatronics Class. Outstanding Performance on CENEVAL Graduation Test

πŸ’Ό Professional Experience

Nov. 2013 – Present: Research Scientist and Engineer, Fluids Engineering Branch, Canadian Nuclear Laboratories (CNL), Chalk River, ON Investigating ML techniques on reactor data Developing computer models for nuclear systems Designing and testing control systems Project management and compliance with safety regulations Mentoring junior staff and writing research proposals. Dec. 2012 – Oct. 2013: Research Assistant, Mechanics and Mechatronics Department, University of Waterloo, ON Research on oxide film formation and characterization. Sep. 2010 – Nov. 2012: MASc Student Researcher, Aluminum Fusion Casting Project, University of Waterloo/Novelis Global Technology Center, Kingston, ON Designed testing procedures and control systems, Conducted metallographic analysis. Jan. 2012 – Apr. 2012: Teacher Assistant, University of Waterloo, ON, Planned tutorials and lab exercises, Provided guidance and feedback to students. Jan. 2010 – May 2010: Latin America Education Researcher, ITESM University, Guadalajara, Mexico Collected and analyzed data Presented reports to directors of engineering graduate programs

πŸ› οΈ Skills and Expertise

Proficient in Microsoft Office, Solid Edge, Solid Works, C++, Matlab, LabView, Python, and R, Experience with passive cooling systems and nuclear research, Strong problem-solving, critical thinking, and project management skills, Comfortable in both team and individual work environments

πŸ… Academic Awards

Best Marks in Mechatronics Class, ITESM University (May 2010), Outstanding Performance on CENEVAL Graduation Test (March 2010)

 

Publication top notes

  1. Title: Structural integrity assessment of CANDU pressure tubes using Sobol indices for global sensitivity analysis
    Authors: Ortega Pelayo, R.E., El Bouzidi, S., Trottier, A., Forgues, F., Pfeiffer, S.
    Journal: Nuclear Engineering and Design
    Year: 2024
    Volume: 428, Article 113499

 

  1. Title: A computational framework for probabilistic structural assessments of reactor components requiring complex code workflows
    Authors: El Bouzidi, S., Forgues, F., Ortega Pelayo, R.E., Trottier, A., Pfeiffer, S.
    Journal: Nuclear Engineering and Design
    Year: 2024
    Volume: 418, Article 112884