Teaching and Mentorship
Throughout my career, I have taught a variety of undergraduate and graduate courses in physics, engineering and computational science. My undergraduate courses have covered core topics such as mechanics, electricity and magnetism, dynamics, quantum mechanics, nuclear physics, and health physics. At the graduate level, I have led specialized courses in radiation physics, radiation protection, advanced computational physics, and radiotherapy physics, with a focus on medical physics and computational methods. Additionally, I offer a short course on Monte Carlo modeling and the MCNP code, designed to equip students and professionals with practical skills in simulating radiation interactions. I aim to bridge theoretical concepts with practical and computational applications, preparing students for careers in both research and industry.
Courses
I currently teach Numerical Analysis with Python for junior-level undergraduate students in Electrical and Electronics Engineering (EEE). The course focuses on applying Python programming to solve numerical problems in engineering, covering topics such as root-finding, interpolation, numerical integration, and differential equations. Through practical coding assignments, students gain hands-on experience with computational methods and algorithms widely used in engineering analysis.
- For course-related materials and additional information, please refer to course webpage (EEF 311E).