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