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.

đź’Ľ 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

 

Assoc Prof Dr. Burcu Tunga | Image Processing | Best Researcher Award

Assoc Prof Dr. Burcu Tunga | Image Processing | Best Researcher Award

Burcu Tunga at Istanbul Technical University, Turkey

👨‍🎓 Profiles

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Publications

Contrast and Content Preserving HDMR-Based Color-to-Gray Conversion

  • Authors: Ayça Ceylan, Evrim Korkmaz Ă–zay, Burcu Tunga
  • Journal: Computers & Graphics
  • Year: 2024

A Novel Image Denoising Technique with Caputo Type Space–Time Fractional Operators

  • Authors: Evren Tanriover, Ahmet Kiris, Burcu Tunga, M. Alper Tunga
  • Journal: Nonlinear Dynamics
  • Year: 2024

High Dimensional Model Representation Median Filter for Removing Salt and Pepper Noise

  • Authors: Sena Kacar, Burcu Tunga
  • Journal: Signal, Image and Video Processing
  • Year: 2024

Machine Learning Based Tomographic Image Reconstruction Technique to Detect Hollows in Wood

  • Authors: E. N. Yıldızcan, M. E. Arı, Burcu Tunga, N. As, T. DĂĽndar
  • Journal: Wood Science and Technology
  • Year: 2024

DeepEMPR: Coffee Leaf Disease Detection with Deep Learning and Enhanced Multivariance Product Representation

  • Authors: A. Topal, Burcu Tunga, E. B. Tirkolaee
  • Journal: PeerJ Computer Science
  • Year: 2024

Dr. Tirumala Vasu | Image Processing | Excellence In Research

Dr. Tirumala Vasu | Image Processing | Excellence In Research

Doctorate at Presidency University, India

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Academic Background:

Dr. G. Tirumala Vasu is an accomplished Assistant Professor in the E.C.E Department at Presidency University, Bangalore, Karnataka, with over 14 years of extensive experience in academia. He is known for his dedication to teaching, research, and development in the field of Electronics and Communication Engineering. Dr. Vasu has made significant contributions to the academic community, publishing numerous research papers, presenting at national and international conferences, and securing patents. He has a strong background in Digital Image Processing, Deep Learning, and Digital Signal Processing, among other areas. He has also been recognized for his outstanding teaching and research efforts with various awards and honors.

Education:

Dr. Vasu earned his Ph.D. from the National Institute of Technology (NIT), Tiruchirappalli in February 2024, with a thesis titled “Multi Focus, Multi Exposure and Multi Sensor Image Fusion Using Edge Preserving Filters”. He holds an M.Tech in Digital Electronics and Communication Systems from JNTU Anantapur, completed in 2009 with first-class distinction, and a B.Tech in Electronics and Communication Engineering from Sri Venkateswara University, Tirupati, completed in 2007. Additionally, he has distinguished himself academically since his early education, consistently achieving first-class distinction throughout his studies.

Professional Experience:

Dr. Vasu has been serving as an Assistant Professor at Presidency University, Bangalore since July 2018. Previously, he held the same position at Siddharth Institute of Engineering and Technology, Puttur, Andhra Pradesh from June 2012 to May 2018, and at Regency Institute of Technology, Yanam, UT of Puducherry from December 2010 to June 2012. He began his academic career at KSRM College of Engineering, Kadapa, Andhra Pradesh, where he worked from August 2009 to December 2010. Throughout his career, Dr. Vasu has taught a wide range of subjects including Computational Intelligence, Machine Learning, Digital Signal Processing, and more. He has also been actively involved in various academic and research coordination roles.

Research Interests:

Dr. Vasu’s research interests are diverse and include Digital Image and Video Processing, Deep Learning and Machine Learning, Digital Signal Processing, 5G OTFS, Electromagnetic Waves and Transmission Lines, and Antennas and Wave Propagation. He has published 28 papers in international journals, presented at numerous conferences, and published 11 patents. His work has earned him accolades such as Best Paper awards and recognition for his innovative contributions to the field of Electronics and Communication Engineering.

 Publications:

Medical image registration with object deviation estimation through motion vectors using octave and level sampling
  • Authors: Nagarathna, P., Jeelani, A., Fiza, S., Vasu, G.T., Seelam, K.
  • Journal: Automatica
  • Year: 2024
Multi-exposure image fusion using structural weights and visual saliency map
  • Authors: Tirumala Vasu, G., Palanisamy, P.
  • Journal: Multimedia Tools and Applications
  • Year: 2024
Visible and Infrared Image Fusion Using Distributed Anisotropic Guided Filter
  • Authors: Vasu, G.T., Palanisamy, P.
  • Journal: Sensing and Imaging
  • Year: 2023
Improved chimp optimization algorithm (ICOA) feature selection and deep neural network framework for internet of things (IOT) based android malware detection
  • Authors: G.T.V., Fiza, S., Kumar, A.K., Kumar, C.N., Kubra, A.
  • Journal: Measurement: Sensors
  • Year: 2023
CT and MRI multi-modal medical image fusion using weight-optimized anisotropic diffusion filtering
  • Authors: Vasu, G.T., Palanisamy, P.
  • Journal: Soft Computing
  • Year: 2023