AI Research Laboratory

Advancing the Future of Artificial Intelligence

Frontline research in machine learning, deep learning, and computer vision to solve tomorrow's challenges today.

70+
Publications
13+
Researchers
4
High-End PCs
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About Our Laboratory

Pioneering AI Research at UoR

At UoR AI Lab, we focus on artificial intelligence research. Our team of researchers explores new ways to improve machine learning, neural networks, and computer vision through scientific study and experimentation.
The lab was established in 2018 with a single high-end PC, and has grown steadily over the years. It began as a modest setup and expanded to two PCs as our research activities developed. In 2024, we significantly enhanced our computational capabilities by adding two new high-end PCs to our infrastructure. Today, the lab features a well-designed work area that provides an optimal environment for our researchers to conduct cutting-edge AI research and collaborate on innovative projects.

70+
Research Papers
13+
Researchers

AI Research Domains

Machine Learning
Computer Vision
Deep Learning
Natural Language Processing
Computing Infrastructure

High-Performance Computing Systems

High-Performance hardware designed for intensive AI research and machine learning workloads

PC 01
High-Performance Workstation
CPU Intel Core i9-13900KF
GPU NVIDIA RTX 4080 (16GB)
Memory 64 GB RAM
Storage 3 TB NVMe SSD
OS Windows 11 Pro
PC 02
Development Workstation
CPU Intel Core i9-13900KF
GPU NVIDIA RTX 4080 (16GB)
Memory 64 GB RAM
Storage 3 TB NVMe SSD
OS Windows 11 Pro
PC 03
Multi-GPU Workstation
CPU Intel Core i7-8700K
GPUs 2x NVIDIA GTX 1080 Ti
Memory 48 GB RAM
Storage 2.5 TB Storage
OS Windows 11 Pro
PC 04
General Purpose Workstation
CPU Intel Core i7-8700
GPU NVIDIA GTX 1660
Memory 48 GB RAM
Storage 1.25 TB Storage
OS Windows 11 Pro
Researchers

Meet Our Knowledgeable Researchers

A diverse team of AI specialists driving innovation in machine learning and computer vision

Research Publications

Featured Research Publications

Breakthrough research contributions in artificial intelligence and machine learning

01

NSGA-II-DL: metaheuristic optimal feature selection with deep learning framework for HER2 classification in breast cancer

Authors: Tarik Ahmed Rashid, Jafar Majidpour, Rajermani Thinakaran, Malathy Batumalay, Deshinta Arrova Dewi, Bryar A Hassan, Habibollah Dadgar, Hossein Arabi
Journal: IEEE Access
Year: 2024
02

Deep Learning in Grapevine Leaves Varieties Classification Based on Dense Convolutional Network

Authors: Hunar A. Ahmed, Hersh M. Hama, Shayan I. Jalal, Mohammed H. Ahmed
Journal: Journal of Image and Graphics
Year: 2023
03

Applications of GAN Models in Breast Cancer Detection: A Comprehensive Review

Authors: Jafar Majidpour, Hunar A Ahmed, Mohammed H Ahmed, Shayan I Jalal, Hossein Arabi
Journal: Archives of Computational Methods in Engineering
Year: 2025
04

Deep learning for speaker recognition: A comparative analysis of 1D-CNN and LSTM models using diverse datasets

Authors: Hiwa Hassanzadeh, Jihad Anwar Qadir, Saman Muhammad Omer, Mohammed Hussein Ahmed, Edris Khezri
Conference: 2024 4th Interdisciplinary conference on electrics and computer (INTCEC)
Year: 2024
05

Lightweight improved yolov5 model for cucumber leaf disease and pest detection based on deep learning

Authors: Saman M Omer, Kayhan Z Ghafoor, Shavan K Askar
Journal: Signal, Image and Video Processing
Year: 2024
06

Emergency vehicles classification for traffic signal system using optimized transfer DenseNet201 model

Authors: KHK Manguri, Aree Ali Mohammed
Journal: Indonesian Journal of Electrical Engineering and Computer Science
Year: 2023
07

Face identification system based on synthesizing realistic image using edge-aided GANs

Authors: Jafar Majidpour, Samer Kais Jameel, Jihad Anwar Qadir
Journal: The Computer Journal
Year: 2023
08

Unreadable offline handwriting signature verification based on generative adversarial network using lightweight deep learning architectures

Authors: Jafar Majidpour, Fatih Oezyurt, Mohammed Hussein Abdalla, Yu Ming Chu, Naif D Alotaibi
Journal: Fractals
Year: 2023
09

Application of deep learning to enhance the accuracy of intrusion detection in modern computer networks

Authors: Jafar Majidpour, Hiwa Hasanzadeh
Journal: Bulletin of Electrical Engineering and Informatics
Year: 2020
10

An improved CNN-based architecture for automatic lung nodule classification

Authors: Sozan Abdullah Mahmood & Hunar Abubakir Ahmed
Journal: Medical & Biological Engineering & Computing
Year: 2022
Contact Us

Get in Touch

Ready to collaborate or have questions about our research? We'd love to hear from you

Contact Information

Have questions about our research or interested in collaboration? We'd love to hear from you!

Email

ai.lab1@uor.edu.krd

Phone

+964 770 549 3448

Location

UoR campus, College of Basic Education building, 3rd floor.

Office Hours

Sunday - Thursday: 8:30 AM - 1:30 PM