Zihao Li | Machine Learning in Physics | Best Researcher Award

Published on by Global Energy Awards

Mr. Zihao Li | Machine Learning in Physics | Best Researcher Award

Mr. Zihao Li | Xi’an Jiaotong-Liverpool University | China

Zihao Li is an emerging talent in Data Science with a strong foundation in Information Management and Information Systems. Currently pursuing his Master’s degree at Xi’an Jiaotong-Liverpool University, he has demonstrated exceptional leadership and problem-solving skills through impactful academic projects and professional roles. His undergraduate studies at Shandong University of Finance and Economics were marked by consistent academic excellence, innovative thinking, and multiple scholarships for outstanding performance. Zihao has led diverse project teams, designing and implementing systems such as a community second-hand furniture trading platform and a ride-hailing application, showcasing his technical expertise in frameworks like Spring Boot and JavaWeb. His extracurricular engagements, including positions in academic and management organizations, highlight his ability to manage operations, coordinate teams, and strategize effectively. With a blend of analytical acumen, technological proficiency, and collaborative leadership, Zihao stands out as a promising contributor to advancing data-driven research and innovative technology solutions.

Author Profile

ORCID

Education

Zihao Li is currently enrolled in the Data Science program at the XJTLU-JITRI Academy of Industrial Technology, Xi’an Jiaotong-Liverpool University. His academic journey began at the Shandong University of Finance and Economics, where he majored in Information Management and Information Systems. His dedication to excellence was recognized through the First-class Scholarship for two consecutive years, the Special Scholarship for Innovation and Entrepreneurship, and the Best Volunteer in Social Practice in Weifang City. This academic background has equipped him with strong technical knowledge, research capability, and a deep understanding of data-driven systems. His formal education forms a solid foundation for his contributions to applied research and innovative industrial technology development.

Experience

Zihao Li’s experience spans academic research, project leadership, and corporate strategy support. As Group Leader, he directed projects such as a community second-hand furniture trading system and a JavaWeb-based ride-hailing platform, managing team coordination, coding accuracy, testing, and documentation. Professionally, he served as Assistant Management at Shenzhou Medical Technology Co., Ltd., assisting in strategic planning, data collection, academic conference organization, and technical project execution. His extracurricular leadership roles include Vice Secretary-General of the Student Union Federation at SDUFE and Vice Minister in the Model United Nations, where he honed event planning, public speaking, and cross-team collaboration skills. This blend of hands-on project experience and organizational leadership positions him as a resourceful, multidisciplinary professional ready for advanced research challenges.

Awards and Honors

Zihao Li has been recognized for his academic excellence, innovation, and service contributions. At Shandong University of Finance and Economics, he earned the First-class Scholarship in both the 2019/2020 and 2020/2021 academic years for outstanding academic performance. His creativity and entrepreneurial mindset were celebrated with the Special Scholarship for Innovation and Entrepreneurship. His commitment to community engagement was honored through the Best Volunteer in Social Practice in Weifang City (December 2021). These distinctions reflect his dedication to both scholarly achievement and societal impact, highlighting a well-rounded profile that blends intellectual merit, leadership, and community service.

Research Focus

Zihao Li’s research interests center on data science applications, intelligent systems, and digital platform development. He is particularly focused on designing efficient, user-friendly digital trading platforms, urban mobility solutions, and integrated information management systems. His academic projects have explored optimizing system architecture, improving security protocols, and enhancing user experience through robust backend development. With a foundation in Spring Boot and JavaWeb frameworks, he aims to expand his research into big data analytics, machine learning applications, and AI-driven decision support systems. His goal is to bridge the gap between technological innovation and practical industry needs, contributing to the development of scalable, secure, and sustainable digital solutions for modern communities.

Publication

Multimodal Temporal Knowledge Graph Embedding Method Based on Mixture of Experts for Recommendation

Authors: Bingchen Liu, Guangyuan Dong, Zihao Li, Yuanyuan Fang, Jingchen Li, Wenqi Sun, Bohan Zhang, Changzhi Li, Xin Li
Journal: Mathematics
Year: 2025

Conclusion 

Zihao Li’s academic excellence, technical innovation, and leadership achievements create a strong foundation for impactful research. His commitment to bridging theoretical concepts with real-world solutions demonstrates his potential to contribute significantly to his field. With continued research outputs and global engagement, he is well-positioned to emerge as a distinguished figure in data science and applied technology research.

Weihong Gao | Computational Particle Physics | Women Researcher Award

Published on by Global Energy Awards

Mrs. Weihong Gao | Computational Particle Physics | Women Researcher Award

Associate Professor at Harbin Engineering University in China

Dr. Weihong Gao is an esteemed Associate Professor at the School of Materials Science and Chemical Engineering, Harbin Engineering University. With a research career spanning over a decade, Dr. Gao has made significant contributions to the study of shape memory alloys, thermoelectric materials, and material surface interactions. After completing her Ph.D. at Harbin Institute of Technology, she furthered her research through postdoctoral positions and visiting scholar programs at prestigious institutions such as the University of Houston and the National Institute for Materials Science (NIMS) in Japan. Her work is frequently published in leading scientific journals, where she collaborates with experts worldwide. Dr. Gao is also actively involved in mentoring young researchers and contributing to advancing knowledge in materials science.

Profile:

Education:

Dr. Weihong Gao began her academic journey in 2005 by earning a Bachelor’s degree in Materials Physics from the School of Materials Science and Chemical Engineering at Harbin Engineering University, China, in 2009. Continuing her pursuit of knowledge, she completed his Master’s degree in Materials Physics and Chemistry from the same institution in 2012. Dr. Gao achieved her Ph.D. in Materials Physics and Chemistry from the Harbin Institute of Technology in 2015. During her Ph.D., Dr. Gao expanded her horizons by working as a visiting scholar at the University of Houston’s Smart Materials and Structure Laboratory. Her education has been deeply interdisciplinary, with a strong emphasis on advanced materials research, making him a notable figure in materials physics and engineering.

Professional experience:

Dr. Weihong Gao’s professional experience spans multiple esteemed institutions. After completing her Ph.D. in 2015, she worked as a visiting scholar at the Smart Materials and Structure Laboratory at the University of Houston. In 2017, she took on a postdoctoral position in Materials Science and Engineering at the Guangdong University of Technology, further enriching her expertise. From 2017 to 2019, Dr. Gao also worked as a visiting scholar at the Texas Center for Superconductivity at the University of Houston. In 2019, she moved to the National Institute for Materials Science (NIMS) in Japan as a postdoc, where she contributed to groundbreaking research in thermoelectrics. Currently, Dr. Gao serves as an Associate Professor at Harbin Engineering University, where she leads research on shape memory alloys, thermoelectric materials, and material surfaces and interfaces.

Research focus:

Dr. Weihong Gao’s research is centered around advanced materials, specifically shape memory alloys, thermoelectric materials, and material surfaces and interfaces. Her expertise in first-principles calculations enables him to analyze and predict the behavior of materials at the atomic level, contributing to developments in both theoretical and applied materials science. Dr. Gao is particularly interested in improving the mechanical properties and thermal stability of shape memory alloys, which have applications in aerospace, automotive, and medical devices. Additionally, her work on thermoelectric materials focuses on optimizing energy conversion efficiency, a critical area for sustainable energy solutions. Her research combines experimental methods and computational simulations, aiming to enhance the performance of advanced materials in extreme environments.

Award and Honors:

Dr. Weihong Gao has received numerous accolades throughout her research career for her outstanding contributions to materials science. Her work on shape memory alloys and thermoelectric materials has earned recognition in international journals, leading to invitations to serve as a visiting scholar in world-renowned laboratories like the University of Houston and the Texas Center for Superconductivity. She has also been the recipient of several postdoctoral fellowships, including at the prestigious National Institute for Materials Science (NIMS) in Japan. Dr. Gao’s commitment to research excellence has been recognized with multiple awards from institutions in China and beyond, solidifying her reputation as a leading figure in the field of materials physics and chemistry.

Publication Top Notes:

  • Classical tribology and charge-energy evolution theory cooperate to determine nitrided ceramic coating/metal substrate interfacial friction
    Guotan Liu, Zhihao Huang, Weihong Gao*, Bin Sun, Yunxiang Tong, Guosheng Huang*, Yudong Fu*
    Acta Materialia 277 (2023) 120197
  • Data-driven high elastocaloric NiMn-based shape memory alloy optimization with machine learning
    Y. Yang, H. Fu, W. Gao*, W. Su, B. Sun, X. Yi, T. Zheng, X. Meng
    Materials Letters 371 (2023) 136948
  • Recent Advances on Additive Manufactured Shape Memory Alloys
    Y. Yang, W. Gao*, Bin Sun, Y. Fu, X. Meng
    Transactions of Nonferrous Metals Society of China 34 (7) (2023) 2045-2073
  • Understanding the anomalously low thermal properties of Zr₃Ni₃₋ₓCoₓSb₄ thermoelectric material
    X. Wei, Z. Guo, D. Li, C. Li, B. Sun, Y. Fu, W. Gao, Z. Liu
    Materials Today Physics 44 (2023) 101424
  • Mechanical behavior of high entropy ceramic (TiZrHfVNb)C₅ under extreme conditions: A first-principles density functional theory study
    Zesong Wang, Guotan Liu, Weihong Gao*, Yuxi Yang, Ting Zheng, Zhi-Quan Liu, Peifeng Li, Mufu Yan, Yudong Fu*
    Ceramics International 50 (6) (2023) 9820-9831
  • Enhancing the thermal stability and recoverability of ZrCu-based shape memory alloys via interstitial doping
    Yuxi Yang, Mingqi Deng, Weihong Gao*, Bin Sun, Yudong Fu*, Xianglong Meng
    Materials Science and Engineering: A 889 (2024) 145860
  • Cubic phase stabilization and thermoelectric performance optimization in AgBiSe₂–SnTe system
    Zhentao Guo, Yu-Ke Zhu, Ming Liu, Xingyan Dong, Bin Sun, Fengkai Guo, Qian Zhang, Juan Li, Weihong Gao*, Yudong Fu*, Wei Cai, Jiehe Sui, Zihang Liu*
    Materials Today Physics 38 (2023) 101238
  • Atomic-level insights from density functional theory and ab initio molecular dynamics calculations for oxidation mechanism of transition metal doping Nb₄AlC₃(0001) surface
    Guotan Liu, Weihong Gao*, Guosheng Huang, Danni Zhao, Wenlong Su, Bin Sun, Mufu Yan, Yu-dong Fu
    Ceramics International 49 (2023) 40061-40072
  • Modification mechanism of Ti-6Al-4V alloy with pre-coated Ti-Cu-Al multilayer film treated by ion nitriding: Experiments and first-principles calculations
    Guotan Liu, Enhong Wang, Weihong Gao*, Zhihao Huang, Bin Wei, Yuxi Yang, Mufu Yan, Yu-dong Fu*
    Surfaces and Interfaces 40 (2023) 103004
  • Study on the microscopic mechanism of age-strengthened high damage tolerance Al–Cu–Mg alloys
    Guotan Liu, Weihong Gao*, Guosheng Huang*, Keqiang Sun, Bin Sun, Jinlai Fu, Ting Li, Fuguan Cong, Yudong Fu*
    Vacuum 216 (2023) 112442

Conclusion:

Given Weihong Gao’s substantial publication record, international collaborations, and innovative contributions to the fields of shape memory alloys and thermoelectric materials, She is an outstanding candidate for the Best Researcher Award. Her work not only advances theoretical understanding but also offers real-world applications that could significantly impact technology and industry.