Dr. Fei Huang | electronic textiles | Best Researcher Award

lecturer at Jiangsu College of Engineering and Technology , China

Fei Huang 👩‍🔬 is a dynamic researcher and lecturer in textile engineering, specializing in flexible and stretchable strain sensors 🧵🔋. She earned her PhD from Donghua University under the guidance of Prof. Jiyong Hu and Xiong Yan 🎓. Her cutting-edge work on wearable sensor technologies has led to several high-impact journal publications and innovative patents 📄💡. Currently teaching at Jiangsu College of Engineering and Technology 👩‍🏫, she blends scientific rigor with practical application. Fei is passionate about smart textiles, precision agriculture 🌿, and human-motion tracking 👟. Her skills in research, technology, and collaboration make her a rising star 🌟 in smart material science.

Professional Profile

SCOPUS

ORCID

Education & Experience

Fei Huang began her academic career at Jiangnan University 🏫, where she earned a B.S. in Textile Science and Engineering 🎓 (2015–2019). She pursued a PhD at Donghua University in Shanghai 🧪, researching flexible and stretchable strain sensors under Professors Jiyong Hu and Xiong Yan (2019–2025) 📘. Following her doctorate, she joined Jiangsu College of Engineering and Technology in Nantong as a lecturer 👩‍🏫 in March 2025. Her academic journey reflects a strong foundation in textile science 🧵 and a commitment to advancing wearable sensor technology 🤖. Fei has evolved into an experienced researcher and educator in smart materials.

Professional Development

Fei Huang has developed a diverse skill set combining textile engineering 🧵, materials science 🧬, and sensor technology 📊. She is proficient in software like MATLAB, SPSS, ABAQUS, CAD, and Photoshop 💻, supporting her deep technical analysis and design capabilities. Fluent in both Mandarin and English 🌐, she collaborates effectively on global research projects. She demonstrates strength in laboratory techniques, literature review, and data interpretation 🔍. With hobbies including running, hiking, and reading 🏃‍♀️📚, Fei maintains balance in her academic life. Her commitment to continuous learning and innovation 🔄 positions her as a forward-thinking researcher in wearable technology.

Research Focus

Fei Huang’s research focuses on flexible, stretchable, and wearable strain sensors 🧵🔋. Her innovations target real-time motion monitoring 🦵, gait analysis 🚶‍♀️, and precision agriculture 🌾 through sensor integration into textiles. She designs yarn-based capacitive and resistive sensors with ultra-low detection limits and high responsiveness ⚙️. Her work explores encapsulation, structural design, and braiding technologies to improve sensor performance and durability 🔄. Fei also investigates graphene-based devices for environmental sensing 🌿. Her contributions lie at the intersection of smart textiles, wearable electronics, and functional materials, aiming to make textile-integrated electronics practical for health, sports, and agricultural use 🤖🌍.

Awards & Honors

Fei Huang has received notable awards for her academic and research achievements 🏆. She earned the National Scholarship (2017–2018) for outstanding performance 🌟 and was honored with First-Class (2015–2016) and Third-Class (2016–2017) Academic Scholarships 📘. In 2022, she received the Graduate Student Innovation Fund and Fundamental Research Funds for the Central Universities at Donghua University 💡—a testament to her innovative sensor work. These honors reflect her dedication to academic excellence and research impact 📖. With her track record of recognition and productivity, Fei stands out as a promising contributor to the future of smart material technologies 🧪.

Publication Top Notes

1. A Wide-linear-range and Low-hysteresis Resistive Strain Sensor Made of Double-threaded Conductive Yarn for Human Movement Detection

Journal: Journal of Materials Science & Technology
Publication Date: February 2024
DOI: 10.1016/j.jmst.2023.06.047
Authors: Fei Huang, Jiyong Hu, Xiong Yan

🔍 Summary:
This study introduces a novel resistive strain sensor composed of double-threaded conductive yarn engineered for wide linear range and minimal hysteresis. The sensor demonstrates high sensitivity and durability, making it ideal for human movement detection applications such as wearable health monitors and motion tracking suits. The work emphasizes material optimization and structural innovation to enhance repeatability and responsiveness, paving the way for smart textile integration in biomechanical systems.

2. High-linearity, Ultralow-detection-limit, and Rapid-response Strain Sensing Yarn for Data Gloves

Journal: Journal of Industrial Textiles
Publication Date: June 2022
DOI: 10.1177/15280837221084369
Authors: Fei Huang, Jiyong Hu, Xiong Yan, Fenye Meng

🔍 Summary:
This paper presents a strain sensing yarn with exceptional linearity, low detection threshold, and fast response time. Designed specifically for data gloves, this sensor enables accurate hand gesture recognition and real-time motion monitoring. The research blends material engineering and textile design to create a sensor with strong durability, making it suitable for immersive human–machine interface technologies, virtual reality, and robotic control applications.

3. Review of Fiber- or Yarn-Based Wearable Resistive Strain Sensors: Structural Design, Fabrication Technologies and Applications

Journal: Textiles
Publication Date: February 2022
DOI: 10.3390/textiles2010005
Authors: Fei Huang, Jiyong Hu, Xiong Yan

🔍 Summary:
This comprehensive review covers recent advancements in fiber- and yarn-based resistive strain sensors for wearable electronics. The authors analyze structural designs, material compositions, and fabrication techniques, along with their applications in health monitoring, sports, and robotics. The review serves as a valuable guide for researchers and engineers developing next-generation smart textiles, offering insight into performance optimization and integration strategies for flexible electronics.

Conclusion

Fei Huang’s originality, impact, and interdisciplinary contributions make her an ideal recipient for awards such as:
Best Researcher Award, AI and Smart Technology Innovation Awards, or Young Scientist Award.
Her commitment to creating intelligent wearable systems that address real-world needs places her at the forefront of next-generation sensor research.

Professore associato at Dipartimento di farmacia, Università di Napoli “Federico II” , Italy

Antonella Accardo, born on June 12, 1978, is an accomplished Italian chemist specializing in peptide derivatives for diagnostic and therapeutic applications. With over 108 scientific publications and significant contributions to nanomedicine, she currently serves as an Associate Professor at the University of Naples “Federico II.” Her work has garnered attention from Italian enterprises, leading to multiple patent applications.

Profile

Education 🎓

Prof. Accardo earned her Ph.D. in Biotechnology Sciences in 2004, focusing on “Peptide conjugates as diagnostic tools” under the mentorship of Professor E. Benedetti. Her academic journey includes notable research visits to the Laboratoire de Chimie de coordination in Toulouse, France, and the Division of Radiochemical Chemistry at the University Hospital Basel. She also holds a Master’s degree in the development of novel anticancer drugs from the Institute IEOSCNR of Naples.

Professional Experience 💼

Prof. Accardo began her career as an Assistant Professor in Chemistry at the University of Naples “Federico II” from 2010 to 2019, and she has served as an Associate Professor since 2020. She has actively contributed to various financed projects, collaborating with multiple research centers and recently establishing a university spin-off focused on targeted drug delivery systems for cancer treatment.

Research Interests 🔬

Her research primarily focuses on synthesizing and characterizing peptide derivatives for diagnostics and therapeutics, developing supramolecular systems for drug delivery, and exploring peptide-based bioimaging tools. She has authored over 108 publications and has an h-index of 28, reflecting her significant impact in the field.

Awards

2017: Italian Peptide Society Young Scientist Award.

2007-2008: Fellowship from C.I.R.C.M.S.B. at the University of Naples.

2005-2007: Fellowship from EMIL at CNR-IBB Institute, Naples.

Publication Top Notes : Chimica supramolecolare

Tesauro, D., Accardo, A., et al. (2019). Peptide-based drug-delivery systems in biotechnological applications: recent advances and perspectives. Molecules, 24(2), 351.

Accardo, A., Tesauro, D., et al. (2009). Supramolecular aggregates containing lipophilic Gd (III) complexes as contrast agents in MRI. Coordination Chemistry Reviews, 253(17-18), 2193-2213.

Accardo, A., Tesauro, D., et al. (2004). Physicochemical properties of mixed micellar aggregates containing CCK peptides and Gd complexes designed as tumor specific contrast agents in MRI. Journal of the American Chemical Society, 126(10), 3097-3107.

Accardo, A., Tesauro, D., Morelli, G. (2013). Peptide-based targeting strategies for simultaneous imaging and therapy with nanovectors. Polymer Journal, 45(5), 481-493.

Accardo, A., Aloj, L., et al. (2014). Receptor binding peptides for target-selective delivery of nanoparticles encapsulated drugs. International Journal of Nanomedicine, 9, 1537.

Diaferia, C., Morelli, G., Accardo, A. (2019). Fmoc-diphenylalanine as a suitable building block for the preparation of hybrid materials and their potential applications. Journal of Materials Chemistry B, 7(34), 5142-5155.

Diaferia, C., et al. (2019). Fmoc-FF and hexapeptide-based multicomponent hydrogels as scaffold materials. Soft Matter, 15(3), 487-496.

Accardo, A., Salsano, G., et al. (2012). Peptide-modified liposomes for selective targeting of bombesin receptors overexpressed by cancer cells: a potential theranostic agent. International Journal of Nanomedicine, 7, 2007.

Tarallo, R., Accardo, A., et al. (2011). Clickable Functionalization of Liposomes with the gH625 Peptide for Intracellular Drug Delivery. Chemistry–A European Journal, 17(45), 12659-12668.

Accardo, A., Tesauro, D., et al. (2007). Nanostructures by self‐assembling peptide amphiphile as potential selective drug carriers. Peptide Science, 88(2), 115-121.