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🎓 Teaching Philosophy

For me, teaching is not the passive transmission of information, but the active cultivation of curiosity, disciplined inquiry, and scientific temperament. I believe science education must integrate conceptual rigor with contemporary relevance. From foundational engineering physics to advanced quantum mechanics and quantum computing, my approach emphasizes analytical thinking, model-building, and intellectual independence rather than rote learning.

My goal is to help students ask better questions, think holistically, and develop the confidence to engage meaningfully with emerging technologies and complex global challenges.

Current Courses (Spring 2026)

PHYS 1002: Applied Engineering Physics

Undergraduate

Introduction to quantum mechanics, lasers, optical fibres, and quantum computing for undergraduate engineering students.

Course Syllabus →

CMP 7001: Essentials of Condensed Matter Physics

Graduate

Fundamental concepts in condensed matter physics, including crystal structures, lattice dynamics, electronic properties, magnetism, and the physical principles underlying functional materials.

Course Syllabus →

CMP 7002: Computational Methods for Condensed Matter Physics

Graduate

Computational approaches for studying condensed matter systems, including numerical methods, electronic-structure calculations, density functional theory, and data-driven approaches to materials research.

Course Syllabus →

Previous Courses

Undergraduate

Scientific Thinking & Creativity

An interdisciplinary course exploring the nature of science, the meaning of scientific knowledge, and how scientific understanding is developed. The course examines observation, evidence, reasoning, experimentation, uncertainty, and the role of creativity in scientific inquiry.

Fall 2023

Undergraduate

Engineering Physics

Foundational physics for engineering students covering mechanics, electromagnetism, optics, and modern physics with emphasis on applications.

Fall & Spring 2022, 2023

Graduate

Advanced Materials Characterization

Graduate-level course covering XRD, μSR, PPMS, SQUID, and other advanced techniques for characterizing quantum and functional materials.

Current

Teaching Resources

📚 Lecture Notes

Course notes and supporting material for major teaching areas.

View Lecture Notes →

🎥 Video Lectures

Recorded lectures and supplementary explanations for students.

Watch Video Lectures →

💻 Computational Tools

Python notebooks, simulations, and computational tools for hands-on learning.

Explore Computational Tools →

📝 Problem Sets

Curated problems and guided exercises to support conceptual understanding and self-study.

View Problem Sets →