I am an experienced ICT trainer and computer science lecturer with over 14 years of teaching experience in higher education. I have served as an ICT Trainer at King Saud University and as a Computer Science Lecturer at King Khalid University, where I have taught core computing subjects and delivered hands-on technology training. My expertise lies in combining theoretical knowledge with practical applications to enhance learning outcomes and support academic excellence.
I have a proven ability to explain technical concepts in a clear and interactive way and also have an ability to mentor, engage, and support diverse learners by using modern learning methods and e-learning tools.
I believe that my experience, education, and dedication provide me with a strong academic foundation, deep subject matter expertise, and a passion for teaching and fostering critical thinking, hands-on practical skills, and support for student success.
I possess strong communication skills and adaptability to learn fast and collaborate and contribute at the different levels of the staff to achieve the goals of the institution or organization.
areas of expertise
My areas of expertise include computer science education, programming, artificial intelligence, machine learning, deep learning, and data analysis. As a researcher, lecturer and educator, I specialize in delivering core computer science subjects using effective, student-centered teaching methodologies. My main focus explores the integration of emerging technologies into computer science education to improve teaching effectiveness, learning outcomes, and student engagement. I aim to bridge theory and real-world applications while contributing to academic innovation and societal impact.
My research focuses on the development and application of machine learning and deep learning models for healthcare analytics and intelligent medical systems. I am particularly interested in supervised and unsupervised learning techniques, deep neural networks, and model optimization for large-scale and high-dimensional data. My work explores applications of convolutional and recurrent neural networks, as well as emerging architectures, for tasks such as prediction, classification, and pattern recognition.