AUIQ Technical Engineering Science is an international open-access journal that was launched by Al-Ayen Iraqi University in 2024.
ATES journal aims to provide a high-level platform where cutting-edge advancements in engineering and sciences through its double-blind peer review process, with a three-issue publication per one volume yearly. The journal exclusively accepts articles in English, reflecting its commitment to fostering global communication within the scientific community. Functioning as an open-access journal since its establishment in Jan 2024 ensures that its valuable content is freely accessible to researchers, scholars, and enthusiasts alike.
In addition, the ATES targets research that discusses the main achievements in engineering science, discussing hot topics and related areas of interest, challenges, and prospects in engineering development in the form of research, review, and communication articles. Notably, the journal distinguishes itself with an efficient review and publication process, boasting an average time of 45 days from submission to acceptance, thereby swiftly disseminating impactful research findings.
See the Aims and Scope for a complete coverage of the journal.
Current Issue: Volume 3, Issue 2 (2026)
Research Articles
Toward Faster and Lower-Cost Prosthetic Socket Fabrication: Mechanical Coupon-Level Testing of FDM-Printed PLA/PETG Versus Lamination Recommended citation:
Hussein, Hussein Dhameer and Aboud, Wajdi Sadik
(2026)
"Toward Faster and Lower-Cost Prosthetic Socket Fabrication: Mechanical Coupon-Level Testing of FDM-Printed PLA/PETG Versus Lamination,"
AUIQ Technical Engineering Science: Vol. 3:
Iss.
2, Article 2.
Hussein Dhameer Hussein and Wajdi Sadik Aboud
DOI: https://doi.org/10.70645/3078-3437.1062
Explainable Tree-Based Ensemble Models for Diabetes Prediction Using SHAP Recommended citation:
Alsaleem, Maan Y Anad; Hasan, Omar Shakir; and Albugg, Yahya
(2026)
"Explainable Tree-Based Ensemble Models for Diabetes Prediction Using SHAP,"
AUIQ Technical Engineering Science: Vol. 3:
Iss.
2, Article 3.
Maan Y Anad Alsaleem, Omar Shakir Hasan, and Yahya Albugg
DOI: https://doi.org/10.70645/3078-3437.1063
A Hybrid Deep Learning Framework for Multi-Class Retinal Disease Classification Recommended citation:
Duhaim, Ali M. and Al-Bakry, Abbas M.
(2026)
"A Hybrid Deep Learning Framework for Multi-Class Retinal Disease Classification,"
AUIQ Technical Engineering Science: Vol. 3:
Iss.
2, Article 4.
Ali M. Duhaim and Abbas M. Al-Bakry
DOI: https://doi.org/10.70645/3078-3437.1064
Review Article
A Comprehensive Review of Wireless Charging Technologies: Inductive, Capacitive and Hybrid Power Transfer Recommended citation:
Islam, Zahraa M.Y. and Ameen, Yasir M. Y.
(2026)
"A Comprehensive Review of Wireless Charging Technologies: Inductive, Capacitive and Hybrid Power Transfer,"
AUIQ Technical Engineering Science: Vol. 3:
Iss.
2, Article 1.
Zahraa M.Y. Islam and Yasir M. Y. Ameen
DOI: https://doi.org/10.70645/3078-3437.1061
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