Mohammed Talal Ghazal
Research InterestsArtificial intelligence
Deep learning
Machine learning
Image processing
Robotic
Robot operating system ROS
Medical signal processing
Shared controled system
classification
Fuzzy logic
Computer vesion
| Gender | MALE |
|---|---|
| Place of Work | Technical Engineering College/ Mosul |
| Qualification | Master |
| Speciality | computer engineering |
| mohammed.ghazal@ntu.edu.iq | |
| Phone | 07704161258 |
| Address | Mosul, Mosul, Mosul, Iraq |
A researcher and developer specialized in Machine Learning, with extensive experience in designing and implementing AI models to solve real-world problems using deep learning and semi-supervised learning techniques. Proficient in Python programming and libraries such as PyTorch and TensorFlow, with solid skills in data processing, analysis, and model performance evaluation. Passionate about developing innovative solutions and continuously expanding my knowledge through scientific research and applied projects.
10 +
Conducting Machine Learning Training Courses within the Continuous Learning Program for Academic Staff
Skills
Computer language programing : C++, Python (70%)
Computer Hardware programing : raspberry pi, arduino (70%)
Academic Qualification
Master
Oct 1, 2011 - Jun 18, 2016Wheelchair robot control using EOG signal with indoor recognition system
Working Experience
Communication system, Computer vesion, Artificial Intelligence [Teaching]
Dec 20, 2006 - PresentTeaching undergraduate and graduate students