Dr. Mengxue Lin | Aerosol Sensing | Best Researcher Award

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Dr. Mengxue Lin | Aerosol Sensing | Best Researcher Award

Dr. Mengxue Lin, Huazhong University of Science and Technology, China

Mengxue Lin is a dedicated and accomplished researcher in the field of aerosol optical sensing and fire smoke detection. She is affiliated with the School of Electronic Information and Communications at Huazhong University of Science and Technology in Wuhan, China. Mengxue received her Bachelor of Science degree from the same institution in 2017 and went on to earn her Doctor of Philosophy degree in 2023. Her professional journey has been marked by significant contributions to national key R&D projects under the Ministry of Science and Technology of China.Mengxue’s research expertise lies in the development and application of optical sensors for aerosol measurement. She has a strong track record of publications that showcase her innovative work in this field. Some of her notable academic achievements include the development of a simple Mie scattering calculation method based on an approximate linear model, an aerosol Sauter mean diameter sensing method based on optical scattering response, and an optical sensor for combustion aerosol particle size distribution measurement using an embedded chip with a low-complexity Mie scattering algorithm.
Professional Profile

Educational Qualifications

🎓 She received her B.S. degree from the School of Electronic Information and Communications, Huazhong University of Science and Technology in 2017 and her Ph.D. degree at the same school in 2023.

Professional Experience

💼 She has been working in the field of aerosol optical sensing and fire smoke detection. She participated in 3 national key R&D projects of the Ministry of Science and Technology of China.

Academic Achievements / Publications

📚 Selected Publications:

  1. A simple Mie scattering calculation method based on approximate linear model.
  2. Optical sensors and sensing congress – Aerosol Sauter mean diameter sensing method based on the optical scattering response of the combined particle volume-surface area.
  3. Optical sensor for combustion aerosol particle size distribution measurement based on embedded chip with low-complexity Mie scattering algorithm.
  4. In situ optical sensor for aerosol ovality and size.
  5. Aerosol Sauter mean diameter measurement based on the light scattering response of the combined particle volume-surface area.
  6. General aerosol Sauter mean diameter measurement for spherical and non-spherical particles based on low-complexity scattering algorithm.
  7. Embedded spatial-temporal convolutional neural network based on scattered light signals for fire and interferential aerosols classification.
  8. A three-wavelength optical sensor for measuring the multi-particle-size channel mass concentration of thermal power plant emissions.

 

.Publications Notes:📄

A Three-Wavelength Optical Sensor for Measuring the Multi-Particle-Size Channel Mass Concentration of Thermal Power Plant Emissions

General aerosol Sauter mean diameter measurement for spherical and non-spherical particles based on low-complexity scattering algorithm

Embedded Spatial–Temporal Convolutional Neural Network Based on Scattered Light Signals for Fire and Interferential Aerosol Classification

Cross-domain open-set fault diagnosis using prototype learning and extreme value theory

Optical sensor for combustion aerosol particle size distribution measurement based on embedded chip with low-complexity Mie scattering algorithm

In situ optical sensor for aerosol ovality and size

Calcium Overload or Underload? The Effects of Doxorubicin on the Calcium Dynamics in Guinea Pig Hearts