Zihao Li | Machine Learning in Physics | Best Researcher Award

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.

Zhiqing Bai | Machine Learning in Physics | Best Researcher Award

Ms. Zhiqing Bai | Machine Learning in Physics | Best Researcher Award

Suzhou Institute of Nano-Tech and Nano-Bionics,CAS | China

👨‍🎓 Profile

Early Academic Pursuits 🎓

Ms. Zhiqing Bai began her academic journey with a strong foundation in Textile Engineering at Donghua University, where she completed both her Master’s (2016–2018) and PhD (2018–2023) studies. Her interest in fiber sensing and wearable technology developed early on, which became the focus of her later research. Her expertise expanded as he pursued joint PhD studies in Electrical and Computer Engineering at the National University of Singapore from 2021 to 2022, broadening her understanding of smart materials and energy harvesting systems.

Professional Endeavors 🔬

Since October 2023, Bai has been serving as a Research Fellow at the Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences (CAS). Her work spans multiple innovative fields, including fiber sensing, functional iongels, tactile sensors, and the development of wearable intelligent perception systems. Bai’s research has earned recognition through various academic leadership roles, including leader positions for numerous prestigious national research projects, such as the China National Postdoctoral Program and the National Natural Science Foundation of China.

🔬 Contributions and Research Focus

Zhiqing Bai’s research is centered on advancing triboelectric nanogenerators and interactive sensing technologies. Her pioneering work includes:

  • Development of eco-friendly nanocomposite fabrics for energy harvesting.
  • Creation of polyionic ecological skins for robust self-powered sensing.
  • Exploring bionic e-skin for enhanced robotic perception.

Impact and Influence 🌟

Bai’s work has significantly advanced the fields of wearable electronics and energy harvesting, with a strong focus on improving user interaction and sensor capabilities. Her designs for biocomposite materials and eco-friendly wearable technologies are paving the way for the next generation of smart textiles. Bai’s research has already influenced both academia and industry, attracting numerous citations and establishing her as a leading innovator in functional textiles.

Academic Cites 📚

Her research has resulted in numerous high-impact papers, with many published in journals such as Nano Energy, Advanced Functional Materials, and ACS Applied Materials & Interfaces. Bai’s work has been widely cited in the fields of triboelectric nanogenerators and wearable electronics, cementing her influence in the scientific community. Her contributions to multi-directional droplet sliding sensing and bionic e-skin technology have set the foundation for future developments in robotic perception and wearable devices.

Technical Skills 🛠️

Bai’s technical expertise encompasses fiber sensing, triboelectric nanogenerators (TENGs), polymeric materials, wearable sensors, and sustainable materials. She has extensive experience in designing and fabricating stretchable electronics, transparent power sources, and eco-friendly nanocomposites. Her ability to integrate interdisciplinary knowledge, including electrical engineering, textile engineering, and material science, makes her a standout researcher in the field of smart textiles and wearable technologies.

Teaching Experience 📚

Throughout her academic career, Bai has gained significant teaching experience, particularly in her role as a Research Assistant at the Suzhou Institute of Nano-Tech and Nano-Bionics. In this capacity, she has mentored graduate students and contributed to academic seminars, sharing her expertise on energy harvesting and wearable sensor systems. Bai’s role as a leader in various national research projects also involves providing guidance to young researchers, helping them grow and succeed in cutting-edge fields.

Top Noted Publications

Constructing high-efficiency stretchable-breathable triboelectric fabric for biomechanical energy harvesting and intelligent sensing
  • Authors: Xu, Y.; Bai, Z.; Xu, G.
    Journal: Nano Energy
    Year: 2023
Constructing a versatile hybrid harvester for efficient power generation, detection and clean water collection
  • Authors: Xu, Y.; Bai, Z.; Xu, G.; Shen, H.
    Journal: Nano Energy
    Year: 2022
Constructing highly tribopositive elastic yarn through interfacial design and assembly for efficient energy harvesting and human-interactive sensing
  • Authors: Bai, Z.; He, T.; Zhang, Z.; Xu, Y.; Zhang, Z.; Shi, Q.; Yang, Y.; Zhou, B.; Zhu, M.; Guo, J. et al.
    Journal: Nano Energy
    Year: 2022
Elastic Textile Threads for Fog Harvesting
  • Authors: Nguyen, L.T.; Bai, Z.; Zhu, J.; Gao, C.; Zhang, B.; Guo, J.
    Journal: Langmuir
    Year: 2022
Enhancing Fog Harvest Efficiency by 3D Filament Tree and Elastic Space Fabric
  • Authors: Nguyen, L.T.; Bai, Z.; Zhu, J.; Gao, C.; Luu, H.; Zhang, B.; Guo, J.
    Journal: ACS Sustainable Chemistry and Engineering
    Year: 2022