Assoc. Prof. Dr. Haiyang Wang | Fiber Sensing Awards | Best Researcher Award

Assoc. Prof. Dr. Haiyang Wang | Fiber Sensing Awards | Best Researcher Award

Assoc. Prof. Dr. Haiyang Wang, North University of China, China

Dr. Haiyang Wang is an Associate Professor and Master’s Supervisor at the School of Semiconductor and Physics, North University of China. He earned his Ph.D. in Physics from the University of Ottawa, Canada, in 2023 under the mentorship of Professor Xiaoyi Bao. His research expertise lies in advanced fiber laser technologies—including random fiber lasers, ultra-narrow linewidth lasers, and mode control—as well as distributed fiber sensing using Brillouin and Rayleigh scattering and micro/nano optical fabrication techniques. Dr. Wang has published 18 peer-reviewed papers in top-tier journals such as Applied Physics Letters, Journal of Lightwave Technology, Optics Letters, and Optics Express, primarily as first or corresponding author. He has led several national-level research projects, including those funded by the National Natural Science Foundation of China, and is a recipient of the China Scholarship Council Doctoral Fellowship and University of Ottawa Entrance Scholarship. Additionally, he serves as Guest Editor for Micromachines and Photonics, and regularly reviews for leading journals in his field.

Professional Profile:

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Summary of Suitability – Dr. Haiyang Wang for the Best Researcher Award

Dr. Haiyang Wang is an emerging leader in the field of optoelectronics, fiber laser technology, and distributed fiber sensing. As an Associate Professor at the School of Semiconductor and Physics, North University of China, and a graduate of the University of Ottawa under the mentorship of renowned physicist Prof. Xiaoyi Bao, Dr. Wang brings a strong foundation of global academic training and research excellence.

🎓 Education

  • Ph.D. in Physics (2018–2023)
    University of Ottawa, Canada
    Supervisor: Prof. Xiaoyi Bao

  • M.S. in Physics (2015–2018)
    Northeastern University, China

  • B.Sc. in Physics (2011–2015)
    Shenyang Aerospace University, China

💼 Work Experience

  • Associate Professor (May 2023–Present)
    School of Semiconductor and Physics, North University of China

  • Ph.D. Researcher (2018–2023)
    University of Ottawa, Canada
    Focus: Random fiber lasers, fiber sensing, nano-fabrication

🏆 Achievements

  • 📚 18 publications in leading journals such as Applied Physics Letters, Journal of Lightwave Technology, Optics Letters, and Optics Express (as first or corresponding author)

  • 🔬 Principal Investigator for projects under the National Natural Science Foundation of China

  • ✍️ Guest Editor for Micromachines and Photonics

  • 🔁 Reviewer for top journals like Optics Letters, Optics Express, and Journal of Lightwave Technology

🎖️ Awards and Honors

  • 🥇 2018 China Scholarship Council Doctoral Fellowship

  • 🎓 2018 University of Ottawa Entrance Scholarship

  • 🌟 Selected for the Ministry of Education’s Talent Program (China)

Publication Top Notes:

Extra-broad photonic crystal fiber refractive index sensor based on surface plasmon resonance

CITED:85

Metal oxide-graphene-based quasi-D-shaped optical fiber plasmonic biosensor

CITED:58

Quasi-D-shaped optical fiber plasmonic refractive index sensor

CITED:54

Glucose sensor realized with photonic crystal fiber-based Sagnac interferometer

CITED:47

High sensitivity refractive index sensor based on dual-core photonic crystal fiber with hexagonal lattice

CITED:35

Ultra-short polarization beam splitter based on dual core photonic crystal fiber

CITED:27

Tunable surface plasmon resonance polarization beam splitter based on dual-core photonic crystal fiber with magnetic fluid

CITED:26

 

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