Dr. Xiaofei Yang | Remote Sensing Awards | Best Researcher Award

Dr. Xiaofei Yang, Guangzhou University, China

Dr. Xiaofei Yang is a lecturer at the School of Electronic and Communication Engineering, Guangzhou University, with a strong research background in artificial intelligence, remote sensing, image classification, and deep learning. He earned his Ph.D. in Computer Software and Theory from Harbin Institute of Technology in 2019 and completed postdoctoral research at the University of Macau, where he focused on hyperspectral image classification and 3D image reconstruction. Dr. Yang has authored 27 peer-reviewed publications, including 11 in IEEE Transactions journals—six as first author—and two Web of Science highly cited papers. His work has been presented at prestigious international conferences such as IJCNN, and he actively serves as a reviewer for top-tier journals including IEEE TGRS and TNNLS. His recent projects span cloud detection, terrain classification, plant disease diagnosis, and typhoon path prediction using deep learning. Recognized with the Innovation Scholarship by the Ministry of Industry and Information Technology in 2019, Dr. Yang continues to contribute to cutting-edge research in remote sensing and AI applications.

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Summary of Suitability: Dr. Xiaofei Yang – Research for Best Researcher Award

Dr. Xiaofei Yang is an outstanding candidate for the Research for Best Researcher Award, recognized for his impactful contributions to artificial intelligence, remote sensing, and deep learning applications. With a strong academic foundation from the Harbin Institute of Technology and advanced research experience as a postdoctoral fellow at the University of Macau, Dr. Yang has emerged as a leading figure in intelligent image processing and computational modeling.

🎓 Education

• Ph.D. in Computer Software and Theory
  Harbin Institute of Technology, Shenzhen, China
  March 2014 – October 2019

• M.Sc. in Computational Mathematics
  Harbin Institute of Technology, Shenzhen, China
  August 2011 – January 2014

💼 Work Experience

• Lecturer, Guangzhou University, China 🇨🇳
  March 2023 – Present

• Postdoctoral Fellow, University of Macau 🇲🇴
  September 2021 – February 2023

  • Focus: Hyperspectral image classification using deep learning

• Trainee, Zhuhai-UM Institute
  May 2021 – August 2021

  • Research on hyperspectral image classification

• Postdoctoral Fellow, University of Macau
  September 2020 – April 2021

  • Research on 3D image reconstruction

• Trainee, Peng Cheng Laboratory, Shenzhen 🇨🇳
  October 2019 – August 2020

  • Developed new open-source algorithm for image processing

🏆 Achievements

• 📄 27+ publications in top journals and conferences, including:

  • 11 IEEE Transactions papers (6 as first author)

  • 2 papers highly cited by Web of Science

• 🧠 Expert in:

  • Artificial Intelligence

  • Hyperspectral Image Classification

  • Remote Sensing

  • Deep Learning and Transformer Networks

• 🗣️ Conference Presentations:

  • IJCNN 2019 (Hungary)

  • GSKI 2017 (Thailand)

• 👨‍🏫 Teaching:

  • Courses at the University of Macau Master’s Program in deep learning and computer vision

• 📚 Peer Reviewer for Top Journals:

  • IEEE TNNLS, TGRS, GRSL, Signal Processing Letters, and more

🥇 Awards & Honors

• 🏅 Innovation Scholarship, Ministry of Industry and Information Technology (2019)

• 🎓 Outstanding Graduate Student, Harbin Institute of Technology (2014)

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