Teaching Philosophy
My teaching emphasizes experiential learning, hands-on implementation, and the integration of engineering theory with real-world applications. I aim to help students build a strong theoretical foundation and develop practical skills in smart manufacturing, industrial IoT, artificial intelligence, data analytics, and engineering systems.
Teaching Experience
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ME 164 — Geometric & Annotation Modeling (CAD)
Instructor, Purdue University, Spring 2026 -
ME 375 — Systems, Measurements, and Control II
Instructor, Purdue University, Spring 2024 -
ME 597 — Industrial IoT Implementation for Smart Manufacturing
Teaching Assistant, Purdue University, Spring 2023 and Spring 2022 -
ME 470 — Automatic Control Systems
Teaching Assistant, Purdue University, Spring 2021
Mentoring & Student Supervision
I have mentored undergraduate and graduate researchers on projects related to smart manufacturing, industrial IoT, predictive maintenance, machine monitoring, multimodal sensing, and AI-enabled manufacturing systems.
- Purdue Vertically Integrated Projects (VIP) undergraduate mentoring
- Purdue Summer Undergraduate Research Fellowships (SURF) mentoring
- Cross-institutional undergraduate research mentoring
- Industry-connected student research projects in smart manufacturing and monitoring
Teaching Interests
- Artificial intelligence for engineering and manufacturing systems
- Industrial IoT and cyber-physical manufacturing systems
- Engineering data analytics
- Manufacturing processes