As AI tools change how engineers work, I believe engineering education needs to change with them. University-trained engineers should be able to define a problem, use engineering theory to solve it, and explain the reasons behind their decisions. In my teaching, I build a strong foundation in engineering theory and give students room to apply it to projects based on their own interests. By designing, building, and testing their ideas with the help of AI tools, students learn to check whether results make physical sense, understand why a solution works or fails, and make decisions about what to try next.
Research Mentoring
Mentoring means learning together. When a student brings a topic they care about, I study it closely too. We look at what is known, question the assumptions, and work out which unanswered questions are worth pursuing. I bring my experience, and their questions often make me reconsider my own understanding. Through this process, students gradually become independent researchers who can frame their own questions, choose their next steps, and explain their decisions.
Courses I Can Teach & Develop
Manufacturing Systems · Smart & Cyber Manufacturing · Robotics & Industrial Automation · Digital Twins for Manufacturing · System Dynamics & Control · Engineering Design
Teaching & Invited Lectures
Guest Lecturer
Arusha Technical College, Tanzania
MMU 08203: Intelligent Control and Robotics · Three online lectures
Research Advisory Seminar
Samsung SDI · Hosted by SNU IDIM Lab
Deep Reinforcement Learning in Manufacturing Industries · Online
One-on-One Tutor
Seoul National University, Korea
Capstone Design I & II
Head Teaching Assistant
Seoul National University, Korea
Mechanical System Design I & II
Teaching Assistant / Tutor
Handong Global University, Korea
Calculus I · Engineering Mathematics · Digital Logic · Embedded Controller · App Programming
Research Mentoring Experience
Juan Gómez-Elvira
M.S. Student in Mechanical Engineering · Georgia Tech Europe
Explainable AI for Manufacturing Processes.
Reagan Cook
Ph.D. Student in Mechanical Engineering · Georgia Tech
Multi-agent LLM framework for capability-aware multi-tier supplier identification.
Bintang Farhan
M.S. Student in Mechanical Engineering · Georgia Tech
Privacy-preserving methods for manufacturing capability representation and sharing within a cyber manufacturing framework.
Norrich Pongkeasorn
Undergraduate Research Assistant · Georgia Tech
Experimental infrastructure development and spatial acoustic data collection for a Siemens-sponsored acoustic digital twin.
Ki-Hun Rhee
Undergraduate Researcher · Seoul National University
Undergraduate thesis on digital-twin-based manufacturing equipment layout optimization using Bayesian optimization.