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

Scopus

Orcid

📜 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

 

Mr. Ivanol Jaurece Djeukeu | Image Processing | Best Researcher Award

Mr. Ivanol Jaurece Djeukeu | Image Processing | Best Researcher Award

Ivanol Jaurece Djeukeu at Albert-Ludwigs-Universität Freiburg, Germany

Profile

Orcid

Summary

Mr. Ivanol Jaurece Djeukeu is a dedicated researcher and engineer with expertise in mechatronics, robotics, and sustainable systems. With a strong academic foundation and professional experience in software and hardware development, he is currently pursuing his Ph.D. in Sustainable Systems Engineering at Albert-Ludwigs-Universität Freiburg. His work focuses on the rapid characterization of Perovskite-Silicon tandem solar cells, contributing to advancements in renewable energy technologies.

Education

  • Ph.D. in Sustainable Systems Engineering (09/2023 – Present)
    Albert-Ludwigs-Universität Freiburg, Germany
  • Master of Science in Mechatronics and Robotics (04/2020 – 04/2022)
    Frankfurt University of Applied Sciences, Germany
    Thesis: Development of a prototype OPC UA server for an Open Edge Computing Platform
    Grade: 1.5
  • Bachelor of Engineering in Mechatronics (10/2015 – 08/2017)
    Frankfurt University of Applied Sciences, Germany
    Thesis: Concept development for intensity regulation of LEDs with different wavelengths (Full Spectrum)
    Grade: 1.8
  • Baccalaureat C (Mathematics and Physics) (09/2007 – 06/2014)
    Collège Ebanda Yaounde, Cameroon

🔬 Research Interests

  • Renewable energy systems and technologies
  • Advanced solar cell characterization
  • Mechatronics and robotics
  • Sustainable systems engineering
  • Edge computing and industrial automation

💼 Professional Experience

  • Scientific Researcher (05/2023 – Present)
    halm elektronik GmbH, Frankfurt am Main, Germany

    • Developing measurement techniques for rapid characterization of Perovskite-Silicon tandem solar cells.
  • Master’s Thesis & Internship in Software Development (C/C++) (09/2021 – 02/2022)
    Hilscher Gesellschaft für Systemautomation mbH, Hattersheim, Germany

    • Developed a prototype OPC UA server for an Open Edge Computing Platform.
  • Hardware Development Intern & Student Assistant (04/2020 – 04/2021)
    halm elektronik GmbH, Frankfurt am Main, Germany

    • Developed electronic circuits for test systems and conducted intensity regulation research for LEDs.
  • Tutor in Mathematics and Physics (11/2017 – 02/2020)
    Frankfurt University of Applied Sciences, Germany

    • Guided students in projects and courses on FPGA, Microcontroller Technology, and Matlab & Simulink.

Publication

Subcell‐Resolved Electroluminescence Imaging of Monolithic Perovskite/Silicon Tandem Solar Cell for High‐Throughput Characterization

  • Authors: Ivanol Jaurece Djeukeu, Jonas Horn, Michael Meixner, Enno Wagner, Stefan W. Glunz, Klaus Ramspeck
  • Journal: Solar RRL
  • Year: 2024