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