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LECTURE VIDEOSย
AI ๊ธฐ๋ฐ ์ค๊ณ ์ฐ๊ตฌ ๋ํฅ (์ด 15๊ฐ ๊ฐ์์์)
๋ฅ๋ฌ๋๊ณผ ์ค๊ณ (์ด 14๊ฐ ๊ฐ์์์)
๐ฅ๏ธ Deep Learning Practice Code (LINK)ย
์ต์ ์ค๊ณ (์ด 21๊ฐ ๊ฐ์์์)
๊ณ ์ฒด์ญํ (์ด 37๊ฐ ๊ฐ์์์)
LECTURES
KAIST: 2021 - PRESENT
AI-based Mobility Design (Graduate course) (Course Materials)
Smart Mobility Design for Designer, Engineer, and Data Scientist (Undergraduate course) (Course Materials)
Engineering Design (Undergraduate course)
SOOKMYUNG WOMENโS UNIVERSITY: 2018 - 2021
Solid Mechanics (Undergraduate course)
Deep Learning (Undergraduate course)
Engineering Design and Practice (Undergraduate course)
Capstone Design (Undergraduate course)
Automotive Engineering (Undergraduate course)
Engineering Mathematics (Undergraduate course)
Programming Basics and Practice (Undergraduate course)
Artificial Intelligence and Mechanical Engineering (Graduate course)
Deep Learning and Engineering Design (Graduate course)
Intelligent Design Automation (Graduate course)
Design Optimization (Graduate course)
Multidisciplinary Design Optimization (Graduate course)
Advanced Intelligent Vehicles (Graduate course)
Interdisciplinary Vehicle Design (Graduate course)
Mechanical Engineering Seminar: Advanced Deep Learning (Graduate course)
KAIST: 2016 - 2017
Advanced Multidisciplinary Capstone Design (Graduate course)
Multidisciplinary Capstone Design I (Undergraduate course)
Multidisciplinary Capstone Design II (Undergraduate course)
Design Thinking for Startup (Undergraduate and graduate course)
Startup Management Practice (Graduate course)
Entrepreneurship (Graduate course)
UNIVERSITY OF MICHIGAN: 2012 - 2016
Design Optimization (Graduate course)
Analytical Product Design (Graduate course)
Product Design Process (Graduate course)
์ธ๊ณต์ง๋ฅ & ์ ๋๋ ์ดํฐ๋ธ๋์์ธ ๊ฐ์ตํย
2026 KAIST ์ฐํํ๋ ๊ณต๊ฐ๊ฐ์ข
์ฃผ์ : AI ๊ธฐ๋ฐ ์ค๊ณ - ํด์์์ ์ค๊ณ ์ต์ ํ ๋ฐ PINN/LLM ํ์ฉ๊น์ง (๊ฐ์ ์๋ฃ)
2025 KAIST ์ฐํํ๋ ๊ณต๊ฐ๊ฐ์ข
์ฃผ์ : AI ๊ธฐ๋ฐ ์ค๊ณ - ํด์์์ ์ค๊ณ ์ต์ ํ๊น์ง (๊ฐ์ ์๋ฃ)
2024 ํ๊ตญ์ต์ ์ค๊ณํํ ํ๊ณ ๊ฐ์ตํ
์ฃผ์ : ์ธ๊ณต์ง๋ฅ์ ํ์ฉํ ์ต์ ์ค๊ณ: ์ด๋ก ๋ฐ ์ค์ต
2024 ๋ํ๊ธฐ๊ณํํ CAE ๋ฐ ์์ฉ์ญํ๋ถ๋ฌธ ์ ๊ธฐ์ ๊ฐ์ตํ
์ฃผ์ : ๋ฌผ๋ฆฌ & ๋ฐ์ดํฐ ๊ธฐ๋ฐ ์ ํ์์ํด์
2023 KAIST ์ฐํํ๋ ๊ณต๊ฐ๊ฐ์ข
์ฃผ์ : ์ธ๊ณต์ง๋ฅ๊ณผ ์ค๊ณ - ํด์ ์์ธก์์ ์ค๊ณ ์ต์ ํ๊น์ง
2023 ๋ํ๊ธฐ๊ณํํ ์ธ๊ณต์ง๋ฅ ๊ฐ์ตํ
์ฃผ์ : ๋ถ๋ฅ(CLASSIFICATION) ๋ชจ๋ธ
2022 ๋ํ๊ธฐ๊ณํํ CAE๋ฐ์์ฉ์ญํ๋ถ๋ฌธ ํํ ๋ฆฌ์ผ
์ฃผ์ : ๋ฐ์ดํฐ ์ฃผ๋ ์ค๊ณ (DATA-DRIVEN DESIGN)
2021 ๋ํ๊ธฐ๊ณํํ ์ธ๊ณต์ง๋ฅ๋จธ์ ์ฐ๊ตฌํ ์ธ๊ณต์ง๋ฅ ์ฌ๋ฆํ๊ต
์ฃผ์ : ๋ฅ๋ฌ๋ ์ค๊ธ
2021 ๋ํ๊ธฐ๊ณํํ CAE๋ฐ์์ฉ์ญํ๋ถ๋ฌธ ์ ๊ธฐ์ ๊ฐ์ตํ
์ฃผ์ : ๋ฐ์ดํฐ ๊ธฐ๋ฐ ์ ํ์์ํด์
2021 ๋ํ๊ธฐ๊ณํํ IT์ตํฉ๋ถ๋ฌธ ์ธ๊ณต์ง๋ฅ ํํ ๋ฆฌ์ผ
์ฃผ์ : ๋ฅ๋ฌ๋์ ๊ธฐ์ด (์ง๋ํ์ต & ๋น์ง๋ํ์ต)ย
2021 ํ๊ตญ์ ์ฐ๊ตฌ์กฐ๊ณตํํ ์ ๊ธฐ์ ๊ฐ์ตํ
์ฃผ์ : ๋ฅ๋ฌ๋ ๊ธฐ๋ฐ ๊ตฌ์กฐ์ค๊ณ
2021 ๋ํ๊ธฐ๊ณํํ ์ธ๊ณต์ง๋ฅ๋จธ์ ์ฐ๊ตฌํ ์ธ๊ณต์ง๋ฅ ๊ฒจ์ธํ๊ต
์ฃผ์ : ์ธ๊ณต์ง๋ฅ๊ณผ ๊ณตํ์ค๊ณ (AI-BASED GENERATIVE DESIGN)ย
2020 ํ๊ตญ์ ์ฐ๊ตฌ์กฐ๊ณตํํ ์ ๊ธฐ์ ๊ฐ์ตํ
์ฃผ์ : ๋ฅ๋ฌ๋ ์ฃผ์ ๋ชจ๋ธ๊ณผ ๊ตฌ์กฐ์ค๊ณ ๋ฐ์ดํฐ๋ฅผ ์ด์ฉํ ์ค์ต
2019 ํ๊ตญ๊ธฐ๊ณ์ฐ๊ตฌ์ AI SUMMER SCHOOL
์ฃผ์ : ๋ฅ๋ฌ๋ ์์ฑ ๋ชจ๋ธ
2019 ๋ํ๊ธฐ๊ณํํ ์ธ๊ณต์ง๋ฅ๋จธ์ ์ฐ๊ตฌํ ์ธ๊ณต์ง๋ฅ ์ฌ๋ฆํ๊ต
์ฃผ์ : ์ธ๊ณต์ง๋ฅ๊ณผ ๊ณตํ์ค๊ณ (AI-BASED GENERATIVE DESIGN)ย
2019 ํ๊ตญ๊ธฐ๊ณ์ฐ๊ตฌ์ AI WINTER SCHOOL
์ฃผ์ : ๋ฅ๋ฌ๋ ์์ฑ ๋ชจ๋ธ
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๋ฅ๋ฌ๋๊ณผ ์ค๊ณ (์ด 9๊ฐ ๊ฐ์์์)