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

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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

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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

Prof. Zhi Gao | Image Processing | Best Researcher Award

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Prof. Zhi Gao, Image Processing, Best Researcher Award

Zhi Gao at Wuhan University, China

Professional Profile

Summary:

Zhi Gao is a highly accomplished Professor and Doctoral Supervisor at the School of Remote Sensing and Information Engineering, Wuhan University. He holds prestigious positions as the National Young Talent Program and Distinguished Professor of Hubei Province, China. With a solid background in engineering and extensive experience in academia and research, he has built strong collaborative networks with renowned universities and institutions worldwide.

👩‍🎓Education:

Zhi Gao received his Bachelor of Engineering (B.Eng.) and Doctor of Philosophy (Ph.D.) degrees from Wuhan University, China, in 2002 and 2007, respectively. His educational background provides him with a strong foundation in his field.

🧬 Work Experience:

Zhi Gao’s professional journey reflects a wealth of experience in both academia and industry. Highlights of his career include:

  • Research Fellow (A) and Project Manager at the Interactive and Digital Media Institute, National University of Singapore (NUS), Singapore, since 2008.
  • Research Scientist (A) at the Temasek Laboratories, NUS, contributing significantly to research endeavors.
  • Building strong collaborative relationships with prestigious institutions globally, including the Temasek Laboratory, National University of Singapore, Carnegie Mellon University Robotics Institute, Robert Gordon University, The Chinese University of Hong Kong, Beijing Normal University, and Beijing Institute of Technology.

Research Interests:

  • Computer Vision
  • Machine Learning
  • Remote Sensing
  • UAV-based Surveillance Research and Applications

Publications Top Noted:

Paper Title: Exploring the relationship between land use change patterns and variation in environmental factors within urban agglomeration
  • Authors: Xiao, R., Yin, H., Liu, R., Liu, L., Jia, T.
  • Journal: Sustainable Cities and Society
  • Volume: 108
  • Pages: 105447
  • Year: 2024
  • Citations: 0
Paper Title: Tracking by Detection: Robust Indoor RGB-D Odometry Leveraging Key Local Manhattan World
  • Authors: Zhou, Z., Gao, Z., Xu, J.
  • Journal: IEEE Robotics and Automation Letters
  • Volume: 9
  • Issue: 6
  • Pages: 4990–4997
  • Year: 2024
Paper Title: How Challenging is a Challenge? CEMS: a Challenge Evaluation Module for SLAM Visual Perception
  • Authors: Zhao, X., Gao, Z., Li, H., Fang, H., Chen, B.M.
  • Journal: Journal of Intelligent and Robotic Systems: Theory and Applications
  • Volume: 110
  • Issue: 1
  • Pages: 42
  • Year: 2024
  • Citations: 0
Paper Title: TJ-FlyingFish: An Unmanned Morphable Aerial–Aquatic Vehicle System
  • Authors: Liu, X., Dou, M., Yan, R., Chen, J., Chen, B.M.
  • Journal: Unmanned Systems
  • Volume: 12
  • Issue: 2
  • Pages: 409–428
  • Year: 2024
  • Citations: 1
Paper Title: WaterFormer: A Global-Local Transformer for Underwater Image Enhancement With Environment Adaptor
  • Authors: Wen, J., Cui, J., Yang, G., Dou, L., Chen, B.M.
  • Journal: IEEE Robotics and Automation Magazine
  • Volume: 31
  • Issue: 1
  • Pages: 29–40
  • Year: 2024
  • Citations: 1