Shamil Khudhur Ramadhan
Research InterestsArtificial intelligent- Computer vision - Electronic circuits - Programming-Image processing
| Gender | MALE |
|---|---|
| Place of Work | Polytechnic College Mosul |
| Department | Medical Equipment Techniques |
| Position | Lecturer |
| Qualification | Master |
| Speciality | Computer Engineering |
| shamil.ramadhan@ntu.edu.iq | |
| Phone | 9647700303049 |
| Address | Mosul, Married, Mosul, Iraq |
Skills
Assistant Lecturer (80%)
Academic Qualification
Diploma in Electronic Department /Northern Technical University
Sep 1, 2000 - Jul 1, 2003bachelor’s degree in Computer Technology /Northern Technical University
Sep 1, 2003 - Jul 1, 2006Master's degree in Computer Technology /Northern Technical University
Nov 24, 2020 - Nov 10, 2022Working Experience
Computer Engineer [Assistant Lecturer]
Jul 1, 2006 - PresentI have obtained many certificates of appreciation in the computer field, Programming, Electronics, Arduino, Raspberry Pi, and programming in MATLAB and Python due to my continuous participation in courses.
A set of Projects in image processing in medical devices, detecting hand and face gestures to control remotely devices.
Publications
ENHANCING USER EXPERIENCE WITH HAND GESTURE VOLUME CONTROL: OVERCOMING CHALLENGES OF CAMERA DISTANCE
Feb 17, 2026Journal CYBERNETICS AND PHYSICS
DOI 10.35470/2226-4116-2025-14-4-375-382
Issue 4
Volume 14
This research introduces a real‑time volume control system based on hand gestures, eliminating the need for physical components. The system uses a standard camera along with MediaPipe and OpenCV in Python to detect hand landmarks and analyze live video frames. By calculating finger distances, it adjusts volume with a remarkable accuracy of 97.3%, while addressing challenges of varying camera distances and ensuring only intended gestures are recognized. The proposed system demonstrates the potential of gesture‑based control to deliver a seamless and intuitive human‑computer interaction experience. A system for controlling volume using hand gestures using a camera. The objectives are: 1. Implement and set a volume control pattern. 2. Solve the distance challenge in gesture recognition.
