Mohammed Mustafa Siddeq
Research Interestsimage compression
3D object compression
| Gender | MALE |
|---|---|
| Place of Work | Technical Engineering College for Computer and AI / Kirkuk |
| Position | Head of Computer engineering department |
| Qualification | Ph.d |
| Speciality | Computer science ( Digital image processing) |
| mohammed.siddeq@ntu.edu.iq | |
| Phone | 07709315333 |
| Address | Abdulrhman street House No. 414/82 Kirkuk , 36001 IRAQ, Kirkuk, Kirkuk, Iraq |
Professor Dr. Mohammed M. Siddeq, is a professor in computer science in field of Digital image and video compression at Northern Technical University, IRAQ.
He received his PhD degree from Sheffield Hallam University, Sheffield - United Kingdom at 2017.
He received his M.Sc. degree from university of Technology, Baghdad – IRAQ at 2000.
He received his B.Sc. degree form Al-Nahrain University, Baghdad- IRAQ at 1997.
He received UK Patent from United Kingdom patent Number GB2538094 since 2016.
In 2016 he received best paper awarded in international Conference (The 7th International Conference on Computational Methods (ICCM2016)) Held in University of California.
In 2023 he received best paper awarded in conference: ICCTATCS 2023:
XVII. International Conference on Coding Theory and Applications in Theoretical Computer Science to be held in London, United Kingdom during August 17-18, 2023
From 2019 to 2020 he worked as head of department in Computer Engineering Dept. / Technical College – Kirkuk- IRAQ.
Now he is managing a team in the field of Computer Science, specifically focusing on 3D mesh and video compression. He has published more than 45 research papers in international journals and conferences.
ORCID : https://orcid.org/0000-0002-2836-0900
4 +
Patent in image compression from UK since 2016
Skills
programmer (100%)
Academic Qualification
PhD
Apr 8, 2013 - Jan 12, 2017PhD Degree: in age 37 I accepted to study PhD in Sheffield Hallam
University – United Kingdom. My topic was: Novel Methods for Image Compression for 3D Reconstruction
Working Experience
Image Compression using MATLAB language [Programs in MATLAB language]
Jun 16, 2004 - PresentI made alot of program since 2004
1- in 2004 i built assembly compiler used Visual Basic 5.0 , for our students to learn how the assembly language works.
2- in 2010 i built my first image compression program using MATLAB language.
3- 2018 i bult complete program advanced JPEG program used MATLAB language.
Image Compression using MATLAB language [Programs in MATLAB language]
Jun 16, 2004 - PresentI made alot of program since 2004
1- in 2004 i built assembly compiler used Visual Basic 5.0 , for our students to learn how the assembly language works.
2- in 2010 i built my first image compression program using MATLAB language.
3- 2018 i bult complete program advanced JPEG program used MATLAB language.
Publications
Novel Medical Image Compression/Decompression Technique Based on Bicubic Interpolation With Matrix Reduction Algorithm
Apr 4, 2026Journal IEEE Access
DOI 10.1109/ACCESS.2026.3668851
Issue 10.1109/ACCESS.2026.3668851
Volume 14
Medical imaging is essential for accurate diagnosis and monitoring of health conditions, but the growing use of telemedicine increases the demand for efficient storage and transmission. This study proposes a novel medical image compression method that preserves image information while achieving high compression efficiency. The technique combines bicubic interpolation, matrix reduction, and arithmetic coding to reduce image size significantly. The proposed algorithm was evaluated using various medical images such as X-ray, ultrasound, CT, and MRI. Results show that the method achieves high image quality with PSNR and SSIM metrics even at a compression ratio of up to 100:1 (99%). Medical imaging is essential for accurate diagnosis and monitoring of health conditions, but the growing use of telemedicine increases the demand for efficient storage and transmission. This study proposes a novel medical image compression method that preserves image information while achieving high compression efficiency. The technique combines bicubic interpolation, matrix reduction, and arithmetic coding to reduce image size significantly. The proposed algorithm was evaluated using various medical images such as X-ray, ultrasound, CT, and MRI. Results show that the method achieves high image quality with PSNR and SSIM metrics even at a compression ratio of up to 100:1 (99%).