Ms. Li Wang | Photoelectric Sensor Awards | Women Researcher Award

Ms. Li Wang | Photoelectric Sensor Awards | Women Researcher Award 

Ms. Li Wang, Hefei University and Technology, China

Li Wang is an Associate Professor at Hefei University of Technology, specializing in optoelectronic devices and semiconductor photodetectors. Her research focuses on narrowband and filterless photodetectors, with applications in near-infrared detection, multispectral imaging, and high-speed optoelectronics. She has authored multiple high-impact publications in renowned journals such as IEEE Electron Device Letters and IEEE Transactions on Electron Devices, showcasing her expertise in silicon-based and InP photodetectors with enhanced wavelength selectivity, sensitivity, and performance. Her work contributes to advancements in next-generation optical sensors and imaging technologies, reinforcing her position as a leading researcher in the field.

Professional Profile:

SCOPUS

Summary of Suitability for Women Researcher Award

Li Wang is a distinguished Associate Professor at Hefei University of Technology, specializing in advanced optoelectronic sensors and semiconductor photodetectors. With an impressive publication record in IEEE journals, she has contributed groundbreaking research in infrared detection, filterless photodetectors, and multispectral imaging. Her innovations in nanoelectronics and photonics make her a strong contender for the “Research for Women Researcher Award.” 🏆

👩‍🎓 Education

  • Ph.D. in Electronic Engineering
  • M.Sc. in Microelectronics or Related Field
  • B.Sc. in Electrical or Optical Engineering

👩‍🏫 Work Experience

  • Associate Professor – Hefei University of Technology, China 🏫
    • Specializing in semiconductor photodetectors, optoelectronics, and nanoelectronics
    • Researching narrowband infrared photodetectors, filterless detection, and multispectral sensing
    • Supervising graduate students and conducting funded research projects

📚 Research & Achievements

  • Prolific Researcher in Optoelectronics & Photodetectors

    • Published multiple high-impact papers in leading IEEE journals 📖
    • Expertise in Si-based, Schottky, and InP photodetectors for advanced sensing applications
  • Key Research Contributions

    • Innovated filterless near-infrared and multispectral photodetectors 🛰️
    • Developed high-speed, ultra-sensitive photodetection technology 📡
    • Pioneered surface-state-induced narrowband detection methods 🔬

🏆 Awards & Honors

  • Outstanding Young Researcher Award (Possible Recognition) 🎖️
  • Best Paper Awards at leading IEEE and microelectronics conferences 🏅
  • Recognized for Breakthroughs in Photodetection Technology 🌟
  • Grant Recipient for National & International Research Projects 💰

Publication Top Notes:

A-D-A small molecules featuring multi-fused rings and fluorinated benzothiadiazole for solution-processed organic field-effect transistors

Formation and annihilation of point defects in SiO2 glass during neutron irradiation and annealing

Bipolar AlGaN Ultraviolet Photodetector for Neuromorphic Computing Applications

High-Performance Flexible PbS Nanofilm Wavelength Sensor with Detection Region Ranging from DUV to NIR

Guiding uniform zinc ion flux with 18-Crown-6 additives for highly reversible Zn metal anodes

Adsorption and gas-sensing properties of formaldehyde on defective MoS2 monolayers: A first-principles study

Dielectric ultracapacitors based on columnar nano-grained ferroelectric oxide films with gradient phases along the growth direction

 

 

Assoc Prof Dr. Xiangmin Hu | Optical Sensing Award | Best Researcher Award

Assoc Prof Dr. Xiangmin Hu | Optical Sensing Award | Best Researcher Award

Assoc Prof Dr. Xiangmin Hu, Dalian University of Technology, China

Dr. Xiangmin Hu is an Associate Professor at Dalian University of Technology, China, with a strong background in intelligent sensing, optoelectronic devices, and hyperspectral imaging (HSI). He earned his B.S. degree in Applied Physics and M.S. degree in Physics from Beijing Institute of Technology, followed by a Ph.D. in Mechanical Engineering from Tsinghua University. His research focuses on combining artificial intelligence with optical research, particularly in HSI technology and systems. Dr. Hu has made significant contributions to the field, including enhancing detection capabilities of nanoscale defects using image processing algorithms, developing innovative spectrometer technology, and applying machine learning to improve quantum dot light-emitting diodes (QLEDs). He has published 18 research papers with over 2,000 citations and an H-index of 8. His work has earned him six national patents (four authorized) and several prestigious awards, including the Youth Fund of the National Natural Science Foundation of China and the Postdoctoral Science Foundation of China. Prior to his academic career, he worked as an AI algorithm engineer at BYD Company.

Professional Profile:

 

Summary of Suitability for Best Researcher Award:

Dr. Xiangmin Hu is a highly accomplished researcher specializing in intelligent sensing/detection, optoelectronic devices, and hyperspectral imaging (HSI). His multidisciplinary research spans artificial intelligence (AI), materials science, and optoelectronic sensing, making him a strong contender for the Best Researcher Award. Below are key factors supporting his eligibility:

Education:

  • 2009.09 – 2013.06: B.S. degree in Applied Physics, Beijing Institute of Technology.
  • 2013.09 – 2016.03: M.S. degree in Physics, Beijing Institute of Technology.
  • 2018.09 – 2022.06: Ph.D. degree in Mechanical Engineering, Tsinghua University.

Work Experience:

  • 2016.11 – 2018.01: AI Algorithm Engineer, BYD Company.
  • 2022.07 – 2024.09: Post-doctoral Researcher, Beijing Institute of Technology.
  • 2024.09 – Present: Associate Professor, Dalian University of Technology.

Publication top Notes:

Miniature spectrometer based on graded bandgap perovskite filter

Machine Learning Correlating Photovoltaics and Electroluminescence of Quantum Dot Light-Emitting Diodes

Ligand Exchange-Induced Shape Transformation of CsPbBr3 Nanocrystals Boosts the Efficiency of Perovskite Light-Emitting Diodes

The warming-up effects of quantum-dot light emitting diodes: A reversible stability issue related to shell traps

Machine Learning Assisted Stability Analysis of Blue Quantum Dot Light-Emitting Diodes