01
Computer vision
Real-time perception, image segmentation, and accelerated inference for systems that understand the world around them.
AI RESEARCHER · ACADEMIC
Dr. Husam
Salah MahdiAl-Kinani, PhD
PhD in Computer Science Engineering
Advancing knowledge.
Shaping what comes next.
My work connects computer vision, autonomous systems, and edge AI with academic teaching and intelligent systems built for the real world.
CURRENT APPOINTMENTHead of the Department of Artificial Intelligence EngineeringUniversity of Al Omniyat
Research atlas
Researcher · EducatorDr. Husam S. Mahdi
Select an area to exploreMove or drag to explore
Real-time perception, image segmentation, and accelerated inference for systems that understand the world around them.
Explore this area01RESEARCH & PUBLICATIONS
Questions worth exploring.
Knowledge worth sharing.
Understanding the world through computer vision. Building intelligence that works beyond the laboratory.
02
Autonomous systems
Autonomous drones and edge AI, connecting perception, communications, and accelerated computing in integrated systems.
03
Language intelligence
Research interests in large and small language models, knowledge retrieval, and intelligent systems for the Arabic language.
Selected publications
2025Accelerated Real-Time Face Recognition and Segmentation with YOLOv8 Optimized through TensorRT
A study of efficient real-time face segmentation, balancing model accuracy with inference speed on edge devices.
Real-Time Drone Communication System Using ROS 2 and GStreamer with YOLOv8-Seg for Face Segmentation
Integrating video streaming, communications, and computer vision into a real-time UAV perception system.
AI-powered cognition for autonomous drone surveillance
An Indian patent application combining YOLOv8-Seg and GPU-accelerated edge computing for autonomous drone systems.
202541024396 A28 March 2025
02ACADEMIC PROFILE & LEADERSHIP
A life in learning.
A purpose in education.
I am a researcher and educator working across artificial intelligence, academic leadership, and applied systems. I believe knowledge makes its greatest contribution when we develop it, share it, and put it to work.
I hold a PhD in Computer Science Engineering from Andhra University, India, and lead the Department of Artificial Intelligence Engineering at University of Al Omniyat. My experience brings together computer vision, edge AI, academic teaching, and undergraduate project supervision.
PhD equivalency · Iraqi Ministry of Higher EducationFROM RESEARCH TO PRACTICE
Developing knowledge, empowering students, and connecting academic research with real needs.
- Current appointment
Head of the Department of Artificial Intelligence Engineering
University of Al Omniyat · Iraq
Academic leadership of the Department of Artificial Intelligence Engineering.
- 2026 · Former appointment
Former Acting Head of the AI Department
Al-Mustafa University · Baghdad, Iraq
Curriculum development, research planning, academic partnerships, and project supervision.
- 2020 — 2026
PhD in Computer Science Engineering
Andhra University · India
Real-time UAV perception using YOLOv8 and TensorRT. Awarded 12 April 2026, with formal Iraqi equivalency.
- 2025 — 2026 · Former
Lecturer, Artificial Intelligence
Al-Mustafa University · Baghdad, Iraq
Teaching AI, deep learning, Linux, and computer networks; supervising student projects.
- 2021 — 2024
Doctoral Researcher, Computer Vision
IoT Systems Lab · Visakhapatnam, India
Real-time face recognition, segmentation, and accelerated vision models on edge hardware.
- 2018 — 2020
M.Tech, Computer Science — Computer Networks
Andhra University · India
Advanced foundations in computer science and networking. CGPA: 8.24 / 10.
- 2008 — 2012
BSc, Computer Techniques Engineering
Dijlah University College · Baghdad, Iraq
The academic foundation in computer engineering and software systems.
03TEACHING & MENTORSHIP
Knowledge grows
when we share it.
Teaching AI, deep learning, Linux, and computer networks, alongside undergraduate project supervision. Practical education that builds confidence in research and implementation.
TRAINING PROGRAMME · IRAQI MINISTRY OF HEALTH
Python & AI for Medical Diagnostics
Ten practical days, from programming fundamentals to training a blood-cell detection model.
23 August — 3 September 2026Explore curriculum & resourcesACTUAL TRAINING OUTPUT
10Training days
364Labelled images
YOLOApplied vision
An educational exercise using a public, labelled dataset.
04SELECTED APPLIED SYSTEMS
Where ideas become
working systems.
Selected examples connecting research and engineering with computer vision, autonomous systems, and medical AI.
Education
ROS2 Drone Ground Station
A ROS2 ground station connecting live video, telemetry, and flight control with an onboard Raspberry Pi. An applied platform for real-time drone perception and communications.
Details & project links
ROS2-powered drone ground control system with live H.264 video streaming, 10 Hz telemetry, and MAVLink/MSP flight commands linking a PC ground station to an onboard Raspberry Pi.
GitHubMedical AI
RadBook
A bilingual radiology platform linking imaging centres and radiologists, from DICOM intake to signed reports. Software engineering supporting practical clinical workflows.
Details & project links
A secure, bilingual (Arabic/English) radiology workflow platform for Iraq connecting hospitals, imaging centers, and radiologists — from DICOM intake through report signing to audited cash settlement. Next.js 16 + NestJS 11 + PostgreSQL PWA, live in production.
Visit projectComputer vision
Iraqi ANPR System
A real-time Iraqi licence-plate recognition system combining computer vision, Arabic OCR, and operator review. Deployed at University of Turath, Baghdad.
Details & project links
Production real-time Iraqi license-plate recognition deployed on a wide-angle 4K surveillance camera at the University of Turath, Baghdad: a YOLOv11 detector feeds a 4-engine OCR ensemble (custom Arabic CRNN, RapidOCR, EasyOCR, PP-OCRv4) behind a 5-check quality gate, with a live operator dashboard and an active-learning review-gallery loop.
SOFTWARE & APPLIED WORK
Browse the project archive More to explore.
Projects, tools, and educational resources, searchable by area and technology.
05ACADEMIC COLLABORATION
Let’s create
meaningful impact.
For research collaborations, academic partnerships, student projects, and AI training programmes. I welcome a thoughtful conversation.
GET IN TOUCHACADEMIC & PROFESSIONAL PROFILES
University of Al Omniyat · Iraq