Teaching

Instructor

MEEN 4180/5600: Feedback Control of Dynamical Systems

Instructor, University of North Texas

Semester: Spring

Offered: 2026

This course introduces the fundamental principles of modeling, analysis, and control of dynamic systems. Topics include mathematical modeling of dynamic systems; Laplace transform solutions of differential equations; transfer functions and system responses in the time and frequency domains; control system design; state-space-based analysis; and computer simulation for control system design.

MEEN 4800/5800: Artificial Intelligence in Mechanical Engineering

Instructor, University of North Texas

Semester: Fall

Offered: 2025

This course introduces practical applications of Artificial Intelligence (AI) across mechanical engineering domains, with a particular emphasis on data-driven insights for real-world systems and processes. Students will learn how to implement machine learning and deep learning methods using Python to analyze and interpret engineering data — including datasets collected from manufacturing processes and industrial Internet of Things (IIoT) sensors. Designed as a lab- and project-based course, it equips students with the tools and hands-on experience needed to bridge basic AI concepts with practical engineering challenges.

ME597: Industrial Internet of Thins (IIoT) for Smart Manufacturing

Assistant Instructor, Purdue University

Semester: Spring

Offered: 2023-2025

This course is designed for senior undergraduate and graduate students in engineering, focusing on practical training for effective data collection and systematic analysis from manufacturing shop floors. It provides hands-on experience in real-time monitoring of equipment and processes using AI-based modeling techniques. Students work in groups of 2–3 and collaborate with small-to-medium-sized manufacturing enterprises in Indiana. Through these collaborations, students identify real-world challenges and develop Industrial IoT (IIoT)-based solutions.

Teaching Assistant (TA)

Introduction to Artificial Intelligence (AI) for Mechanical Engineers

Teaching Assistant, Sungkyunkwan University

Semester: Spring

Offered: 2020-2021

This course introduces mechanical engineering students to a wide range of data mining, machine learning (ML), and deep learning (DL) techniques, emphasizing both conceptual understanding and hands-on practice. I designed and developed comprehensive coding exercises using Python, tailored to bridge theoretical concepts with real-world applications in mechanical engineering.

The 4th Technical Courses for Leaders of Fourth Industrial Revolution

Assistant Instructor, Korea Society for Prognostics and Health Mgt. (KSPHM)

Location: Seoul National University (SNU)

Date: Jan. 2020

This workshop provided professionals from various industries and research institutes with practical training on data analysis and AI application for improving productivity in industrial systems. Python-based instructional materials and led hands-on sessions are provided to guide participants in processing and analyzing data from industrial equipment.

Introduction to Energy Information and Communications Tech. (ICT)

Teaching Assistant, Sungkyunkwan University

Semester: Spring

Offered: 2020

This course provided professionals from energy-related organizations and companies, such as power plants, with training on understanding and analyzing data collected from their systems. I specifically designed and delivered instructional materials on analyzing mechanical and sensor data and applying AI modeling techniques.

Robust System Design with Big Data Analytics and Artificial Intelligence (AI)

Teaching Assistant, Sungkyunkwan University

Semester: Summer

Offered: 2020

This online summer course was attended by 400–500 students from various disciplines. Accessible instructional materials on data analysis and AI are designed for non-engineering students with no prior coding experience.

The 3rd Technical Courses for Leaders of Fourth Industrial Revolution

Assistant Instructor, Korea Society for Prognostics and Health Mgt. (KSPHM)

Location: Yonsei University (YU)

Date: Aug. 2019

This workshop provided professionals from various industries and research institutes with practical training on data analysis and AI application for improving productivity in industrial systems. Matlab-based instructional materials and led hands-on sessions are provided to guide participants in processing and analyzing data from industrial equipment.

Machine Element Design

Teaching Assistant, Sungkyunkwan University

Semester: Fall

Offered: 2018-2019

This course focused on the fundamental principles of designing mechanical components such as gears, shafts, and bearings, emphasizing their application in engineering systems.

Tutorial for Artificial Intelligence (AI) and Smart Factory Technology

Assistant Instructor, Korea Society of Computer Design and Engineering (CDE)

Location: Welli Hilli Park

Date: Jan. 2018

This tutorial introduced participants to the fundamental concepts of Artificial Intelligence (AI) and its integration into smart factory systems.

Creative Engineering Design

Master Teaching Assistant, Sungkyunkwan University

Semester: Spring

Offered: 2015-2017

This capstone design course focused on guiding students through the process of conceptualizing, designing, and prototyping engineering solutions to real-world problems. As a Master Teaching Assistant, I led the design and management of diverse capstone projects over several years, mentored and trained other teaching assistants, and conducted multiple sessions to directly instruct and support students. My role emphasized fostering creativity, teamwork, and practical problem-solving skills in students.

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