Rensselaer Polytechnic Institute (RPI), 2023
Troy, New York, USA
Ph.D. in Mechanical Engineering
Advisor: Sandipan Mishra
Thesis: Designing learning control algorithms for mechanical systems with complex dynamics
Ulsan National Institute of Science and Technology (UNIST), 2019
Ulsan, Republic of Korea
MS in Mechanical Engineering (System Design and Control Engineering)
Advisor: Hyondong Oh
Thesis: Autonomous navigation for mobile robots: machine learning-based techniques for obstacle avoidance
Ulsan National Institute of Science and Technology (UNIST), 2017
Ulsan, Republic of Korea
BS in Mechanical Engineering
Korea Advanced Institute of Science and Technology (KAIST) | 2023 ~
Post-doctoral Researcher @ Mechanical Engineering Research Institute | Industrial AI Lab
Rensselaer Polytechnic Institute (RPI) | 2019 ~ 2023
Research Assistant @ Intelligent System, Automation, and Control (ISAaC) lab
AI for mechanical engineering (Course link)
Topics: Linear algebra, optimization, regression, classification, dimension reduction, artificial neural networks, autoencoders, convolutional neural networks, explainable AI, transfer learning, generative adversarial networks, diffusion models, recurrent neural networks, physics-informed neural networks, AI in mechanical engineering
Lecture videos
Artificial neural network: theory and applications
Topics: Artificial neural networks, autoencoders, convolutional neural networks, class activation maps, transfer learning, generative adversarial networks, recurrent neural networks, physics-informed neural networks
Modeling and control of dynamical systems
Topics: Modeling of electro-mechanical systems, Laplace transform, block diagram reduction, root locus, frequency responses, steady state errors, stability analysis, design of compensators
Introduction to mechatronics
Topics: Basic electronics, sensors, actuators, Arduino with Python, basic DSP and machine learning, digital control