Dr. Dong Zhang | Color Image Processing | Young Scientist Award

Dr. Dong Zhang | Color Image Processing | Young Scientist Award

Doctorate at Qufu Normal University, China

👨‍🎓 Profiles

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📜 Summary

Dr. Dong Zhang, a dedicated scholar from Cao County, Shandong, is a Junior Researcher at North-Eastern Federal University, Russia. With a focus on big data processing, image compression, and artificial intelligence, he has made significant contributions to quaternion matrix computations and optimization techniques. A recipient of prestigious Chinese and Russian government scholarships, Dr. Zhang is also recognized for his outstanding academic achievements and innovative research.

🎓 Education

  • PhD in Informatics and Computing Technologies (2021–Present): North-Eastern Federal University, Russia. Successfully defended thesis six months early due to exceptional performance.
  • Master’s in Applied Mathematics (2018–2021): Shandong University of Science and Technology, China.
  • Bachelor’s in Mathematics and Applied Mathematics (2014–2018): Heze University, China.

💼 Work Experience

  • Junior Researcher (2024–Present): International Research Laboratory on Multiscale Mathematical Modeling and High-Performance Computing, North-Eastern Federal University, Russia.
  • Leader and contributor to multiple international projects, including software development for image compression and educational programs for scientific training.

🔬 Research Interests

Big Data Processing, Optimization and Decision-Making, Image and Signal Processing, Artificial Intelligence, and Pattern Recognition.

🏆 Awards and Honors

  • 2024: Russian State Registration Certificate for Software: “Computational Library for Reliable Image Compression Schemes.”
  • 2024: Invention Patent: “Color Image Compression Scheme Based on Quaternion Matrix Singular Value Decomposition.”
  • 2021: Chinese and Russian Government Scholarships for academic excellence.
  • 2021: “Outstanding Graduate” at Shandong University of Science and Technology.

 

Publications

An algebraic algorithm for the total least squares problem in commutative quaternionic theory

  • Author: Jiang, T.; Zhang, D.; Guo, Z.; Vasil’ev, V.I.
  • Journal: Applied Mathematics and Computation
  • Year: 2025

Color image watermarking scheme based on singular value decomposition of split quaternion matrices

  • Author: Wang, G.; Jiang, T.; Zhang, D.; Vasil’ev, V.I.
  • Journal: Journal of the Franklin Institute
  • Year: 2025

Real and complex solutions of the total least squares problem in commutative quaternionic theory

  • Author: Zhang, D.; Jiang, T.; Guo, Z.; Vasil’ev, V.I.
  • Journal: Computational and Applied Mathematics
  • Year: 2024

An algebraic algorithm for the diagonalization of a biquaternion matrix in the biquaternionic mechanics

  • Author: Zhang, D.; Jiang, T.; Guo, Z.; Vasil’ev, V.I.
  • Journal: Computational and Applied Mathematics
  • Year: 2024

Algebraic algorithms for a class of Schrödinger equations in split quaternionic mechanics

  • Author: Jiang, T.; Wang, G.; Guo, Z.; Zhang, D.
  • Journal: Mathematical Methods in the Applied Sciences
  • Year: 2024