Dr. Beibei Wang | Electromagnetic Sensors Awards | Best Researcher Award

Dr. Beibei Wang | Electromagnetic Sensors Awards | Best Researcher Award 

Dr. Beibei Wang, Xihang University, China

Dr. Beibei Wang is a lecturer at Xihang University, China, specializing in materials science. She earned her Ph.D. in Materials Science from Northwestern Polytechnical University under the supervision of Prof. Qiangang Fu and conducted a joint Ph.D. at Technische Universität Darmstadt, Germany, funded by the China Scholarship Council. Her research focuses on the in-situ growth of carbon nanotubes and graphene nanoplatelets on carbon fiber surfaces, interface properties of carbon fiber/resin matrix composites, polymer-derived ceramics with functional properties, and carbon-based electromagnetic wave absorbing and shielding materials. She has presented her research at several prestigious conferences, including the World Conference on Carbon and the China International Congress on Composite Materials. Dr. Wang has received multiple awards, including the National Scholarship for Graduate Students and the First Prize of the Graduate Innovative Achievements Award. Her work has been supported by grants such as the Shaanxi Provincial Natural Science Basic Research Program and the Scientific Research Plan Projects of the Shaanxi Education Department.

Professional Profile:

SCOPUS

ORCID

Suitability Assessment for the Best Researcher Award

Dr. Beibei Wang is a Lecturer at Xihang University, China, specializing in Materials Science with a strong background in carbon-based materials, polymer-derived ceramics, and electromagnetic wave shielding. Her research contributes to advanced composite materials with applications in aerospace, electronics, and tribology.

📚 Education & Work Experience

  • 🎓 Lecturer (07/2021 – Present) | Xihang University, China | Materials Science
  • 🎓 Joint PhD (10/2019 – 10/2020) | Technische Universität Darmstadt (TU Darmstadt), Germany
    • Funded by China Scholarship Council (CSC)
    • Supervisor: Prof. Ralf Riedel
  • 🎓 PhD in Materials Science (09/2016 – 06/2021) | Northwestern Polytechnical University, China
    • Supervisor: Prof. Qiangang Fu
  • 🎓 Master’s in Materials Science (09/2013 – 01/2016) | Shaanxi University of Science & Technology, China
  • 🎓 Bachelor’s in Materials Science (09/2009 – 07/2013) | Shaanxi University of Science & Technology, China

🏆 Awards & Honors

  • 🏅 National Scholarship for Graduate Students | Ministry of Education, China (2015)
  • 🥇 First Prize – Graduate Innovative Achievements | Higher Education Bureau of Shaanxi Province (2016)
  • 🎖 Outstanding Graduate Student | Northwestern Polytechnical University (2018)
  • 🎓 Multiple Scholarships
    • First Prize Scholarship
    • Second Prize Scholarship

🔬 Achievements & Funding

  • 💡 Funded Projects:

    • 🌍 General Project (Youth) of Shaanxi Provincial Natural Science Basic Research Program (Grant No. 2023-JC-QN-0523)
    • 🏛 Scientific Research Plan Projects of Shaanxi Education Department (Grant No. 22JK0426)
  • 🎤 Key Conference Presentations:

    • 🏛 The World Conference on Carbon 2024 | Shenzhen, China
      • Oral Report: Grafting CNTs on Carbon Fabrics for Enhanced Mechanical & Thermal Properties
    • 🔬 The 5th China International Congress on Composite Materials (CCCM-5) | Urumqi, China
      • Oral Report: Study on Resin Matrix Composite Modified by In-Situ Growth CNTs
    • 🏅 The 8th Chinese Youth Symposium on Materials Science | Shaanxi, China (April 2024)
      • Oral Report: MWCNT/GNPs Modified Resin Matrix Composites
    • 🏆 The 16th National Youth Materials Science Seminar | Tianjin, China (2017)
      • Poster Presentation: Thermal & Tribological Performance of Paper-Based Composite Materials

Publication Top Notes:

Single-source-precursor synthesized SiCN/MWCNT nanocomposites with improved microwave absorbing performance

B4C@CNT nanowires decorated on carbon fiber fabric surface with enhanced microwave absorption performance

In situ growth of B4C nanowires on activated carbon felt to improve microwave absorption performance

Synergistic effect of surface modification of carbon fabrics and multiwall carbon nanotube incorporation for improving tribological properties of carbon fabrics/resin composites

 

Best Nanotechnology for Sensing

Introduction Best Nanotechnology for Sensing

The Best Nanotechnology for Sensing Award recognizes outstanding contributions in the field of nanotechnology for sensing applications. This prestigious award aims to honor individuals who have made significant advancements in sensor technology using nanomaterials.

Award Eligibility:

The award is open to researchers, scientists, engineers, and innovators worldwide. There is no age limit for eligibility. Applicants must have a background in nanotechnology or a related field.

Qualifications:

Applicants should possess a Ph.D. or equivalent qualification in a relevant field. They should also have a strong publication record in the area of nanotechnology for sensing.

Requirements:

Submissions must include a detailed research proposal outlining the use of nanotechnology in sensing applications. Applicants should also provide a list of publications related to their work in this field.

Evaluation Criteria:

Submissions will be evaluated based on the significance of the research, the innovation of the approach, and the potential impact on the field of sensing technology.

Submission Guidelines:

All submissions must be sent via email to the award committee. The deadline for submissions is [insert deadline date].

Recognition:

The recipient of the Best Nanotechnology for Sensing Award will receive a cash prize and a certificate of recognition. They will also be invited to present their research at a prestigious conference.

Community Impact:

Winners of the award are expected to contribute to the community by sharing their knowledge and expertise with other researchers in the field.

Biography:

Applicants should provide a brief biography highlighting their academic and professional achievements in the field of nanotechnology for sensing.

Abstract and Supporting Files:

Submissions must include an abstract of the research proposal and any supporting files, such as graphs, charts, or images, that illustrate the research.