As a lecturer and researcher with over a decade of teaching experience, I design lessons that are interactive, structured, and tailored to each student’s needs. My classes combine clear explanations with practical problem-solving, ensuring that students not only understand the theory but can also apply it confidently.
I have taught a wide range of subjects—from mathematics, physics, and programm...
As a lecturer and researcher with over a decade of teaching experience, I design lessons that are interactive, structured, and tailored to each student’s needs. My classes combine clear explanations with practical problem-solving, ensuring that students not only understand the theory but can also apply it confidently.
I have taught a wide range of subjects—from mathematics, physics, and programming (MATLAB, Python, C++, C#) to biomedical engineering and digital signal processing. Depending on the subject, I often use real-world examples, coding exercises, or case studies to help students connect abstract concepts with practical applications. For younger learners, I simplify complex topics with analogies, visuals, and step-by-step guidance, while for advanced students, I focus on critical thinking, algorithm development, and research-oriented problem solving.
My lessons are usually online, using a mix of live explanations, screen-sharing, and interactive exercises. I provide additional resources (summaries, coding scripts, or practice problems) after class to reinforce learning. I encourage questions and discussions, making the learning process collaborative rather than one-sided.
With a background that includes being ranked first among PhD students, publishing in leading journals, and winning national and international awards in programming and engineering, I bring both academic depth and teaching passion to my lessons.
Ultimately, my goal is to make learning enjoyable, effective, and inspiring—helping each student achieve their academic or professional goals with confidence.
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