10+

Patents filed across Korea, Singapore, the USA, and China

Three licensed. Covering energy conversion devices, label-free optical biosensors, continuously varied infill strategies for 3D printing, and PM2.5 sensor calibration.

150+

Plenary, keynote, and invited lectures delivered worldwide

36 plenary and keynote addresses plus 117 invited talks at international conferences, partner universities, and industry forums.

30+

Funded research projects led as Principal Investigator

Backed by 23 sponsors — MSIT, MOTIE, NRF, KIAT, NIPA and KRIT in Korea; Samsung, LG, Google and Rolls-Royce in industry; A*STAR and Singapore MOE overseas.

240+

Publications across journals, conferences, and patents

144 peer-reviewed journal papers, 90 conference papers, and 10 patents since 2006, spanning additive manufacturing, MEMS and microfluidic sensors, semiconductor convergence processes, energy devices, and AI-driven quality control.

Research Focus Areas

Pioneering AI-Driven Next-Generation Manufacturing

Our research integrates artificial intelligence, advanced additive manufacturing, and autonomous systems to transform how complex products are designed, optimized, and produced in real-world environments. The work runs the full depth of the stack, from resin and nanocomposite chemistry, through the physics of the printing process and in-line quality control, up to the autonomous production systems that put it to work.

Active

Additive Manufacturing Processes & Functional Materials

Advancing vat photopolymerization, digital light processing, material extrusion, and directed energy deposition, from the resin and nanocomposite chemistry up to real-time control of the process as it prints.

Vat Photopolymerization DLP Porous Ceramics Directed Energy Deposition +3 more
11+ team
28+ papers
10+ grants funding
Active

Physical AI for Autonomous Manufacturing

Building AI that can run a process, not just describe one. Large language and vision models read machine and sensor data, capture the tacit know-how of experienced operators, and close the control loop on additive manufacturing without a human at every step.

Industrial AI Agents LLM & Vision-Language Models Physical AI +4 more
4+ team
3+ papers
1 grant funding
Emerging

Next-Generation Drone Production

Rethinking how a drone is built. We print a flat 2D sheet that deploys into a functional 3D airframe, so aircraft can be produced at low cost and high rate, and made where they are needed rather than shipped there.

2D Sheet to 3D Structure Folding-Inspired Deployable Architectures 4D Printing & Shape Memory Polymers +3 more
7+ team
1+ papers
$350K+ funding
State-of-the-Art Research Environment

State-of-the-Art Research Environment

JDL runs its own fabrication, characterization, and compute rather than queuing for shared facilities. Students design, print, process, and measure in house across KAIST, KPU, and NTU’s Singapore Centre for 3D Printing, and GPU capacity grows with every new grant.

  • Additive Manufacturing: DLP and FDM printers, in-house filament fabrication, UV curing, two-photon polymerization
  • Thin-Film & Semiconductor: ALD, PLD, sputtering, e-beam evaporation, PECVD, deep reactive ion etching, yellow room
  • Characterization: confocal microscopy, SEM, X-ray diffraction, impedance spectroscopy, tensile testing
  • AI Computing: RTX 5090 nodes, RTX A-series workstations, NAS storage, National AI Computing Center capacity
Virtual Lab Tour
From Lab Bench to Production Line

From Lab Bench to Production Line

The drone work now has a company behind it. KEONIX Labs, a KAIST faculty start-up, is taking the lab’s manufacturing research into real production.

  • Pocheon Center: a civil-military-government site for drone education and production
  • Printers, training programs, and custom FPV drone builds
  • With Chung-Ang, Jeonbuk National and Incheon National faculty, and KAIST InnoCORE PRISM-AI
Collaborative Innovation Culture

Collaborative Innovation Culture

JDL is an Open Lab: research institutes, companies, investors, legal advisors, and global start-ups work alongside the group, so a project can become a venture without ever leaving it.

  • 23 sponsors across government, industry, and overseas agencies
  • A network spanning KAIST and NTU Singapore, with KRISS, KIMM, and ETRI
  • A Global Start-up Platform that carries student projects into ventures
Join Our Community
A Lab That Works Together

A Lab That Works Together

JDL is small enough that everyone knows what everyone else is building. Postdocs and senior students pick up the newer members, and the group meets, eats, and gets out of the building together.

  • Help across disciplines: mechanical engineering, computer science, electrical engineering, and materials sit side by side
  • An open door: ask, and you get time on your problem
  • Biweekly Friday group meetings, and lab outings through the year

Meet Our Team

World-class researchers pushing the boundaries of science & engineering technologies

Our multidisciplinary team works across vat photopolymerization, digital light processing, material extrusion, and directed energy deposition, from the resin and nanocomposite chemistry up to real-time control of the process as it prints, and on to AI-driven manufacturing automation and next-generation on-site drone production.

Principal Investigators

Yoon Yong-Jin

Yoon Yong-Jin

Professor, Ph.D.

Department of Mechanical Engineering, KAIST

MEMS-microfluidic-3D Printing-enabled Sensors Multi-scale 3D Printing-enabled functional structure High-speed Volumetric 3D Printing

Postdoctoral Researchers

Kim Hyeongcheol

Kim Hyeongcheol

Postdoctoral Researcher

KAIST InnoCORE PRISM-AI Research Group

Drone Education & Autonomous Production AI-Based Tacit Knowledge Extraction Human-AI / Computer Interaction
Kim Minseok

Kim Minseok

Postdoctoral Researcher

Mechanical Engineering Research Institute, KAIST

Drone Education Drone Production Biomedical Engineering
Lee Suhan

Lee Suhan

Postdoctoral Researcher

Department of Mechanical Engineering, KAIST

Solid Oxide Fuel Cells (SOFCs) MEMS Fabrication
Zhang Haining

Zhang Haining

Postdoctoral Researcher

KAIST InnoCORE PRISM-AI Research Group

Machine Learning for Additive Manufacturing In-Situ Monitoring & Anomaly Detection Uncertainty Quantification

PhD Students

Alberto Andreu

Alberto Andreu

Ph.D. Candidate

Department of Mechanical Engineering, KAIST

3D printing process development Metal 3D printing Self healing materials
An Jiyoon (Jinna)

An Jiyoon (Jinna)

Ph.D. Student

Department of Mechanical Engineering, KAIST

I am a Ph.D. student in Mechanical Engineering, focusing on additive manufacturing and design for additive manufacturing (DfAM). My research focuses on developing design methodologies for DfAM and exploring intelligent design frameworks using Physical AI.

Additive Manufacturing Physical AI Generative Design
Jang Saeeun

Jang Saeeun

Ph.D. Student

Department of Mechanical Engineering, KAIST

Ceramic 3D & 4D printing Ceramic focus ring
Kim Hyeong-Keun

Kim Hyeong-Keun

Ph.D. Student

Department of Mechanical Engineering, KAIST

Manufacturing System Control Structural Dynamics & Control 3D Printing
Kim Jeong-Hwan

Kim Jeong-Hwan

Ph.D. Candidate

Department of Mechanical Engineering, KAIST

3D & 4D Printing Engineering Design
Kim Sanglae

Kim Sanglae

Ph.D. Candidate

Department of Mechanical Engineering, KAIST

3D printing toolpath optimization Metal 3D printing Wearable sensor algorithm applications
Kim Sunghee

Kim Sunghee

Ph.D. Student

Department of Mechanical Engineering, KAIST

3D Printing Hardware Design
Lee Juchan

Lee Juchan

Ph.D. Student

Department of Mechanical Engineering, KAIST

Metal Additive Manufacturing (MAM) Artificial Intelligence (AI)
Lee Wonhee

Lee Wonhee

Ph.D. Candidate

Department of Mechanical Engineering, KAIST

3D printing Manufacturing process development Biomechanics
Lim Hanyi

Lim Hanyi

Ph.D. Student

Department of Mechanical Engineering, KAIST

TBD
Lim Jongwoo

Lim Jongwoo

Ph.D. Candidate

Department of Mechanical Engineering, KAIST

Anomaly detection with vocal sound Bone conduction
Sim Minsung

Sim Minsung

Ph.D. Student

Department of Mechanical Engineering, KAIST

Battery performance prediction AI Model optimization

Master Students

Cho Hyeongkwon

Cho Hyeongkwon

M.S. Student

Department of Mechanical Engineering, KAIST

3D & 4D Printing Mechanical Metamaterials
Hui Heechan

Hui Heechan

M.S. Student

Department of AX, College of AI, KAIST

AX in Manufacturing AI-Driven Design Engineering
Yoon Wonseob

Yoon Wonseob

M.S. Student

Department of Mechanical Engineering, KAIST

Additive Manufacturing AI-based Anomaly Detection Feedback Control Systems

Interns

Izbaskan Abyroy

Izbaskan Abyroy

4th Year B.S. Student

Department of Mechanical Engineering, KAIST

Metal Printing Thermal Measurement
Lee Jeahyeon

Lee Jeahyeon

Undergraduate Researcher

Transdisciplinary Studies, KAIST

KAIST undergraduate; admitted to the master's programme, joining in 2027.

Tacit Knowledge Extraction with AI Automated Production Agent-Driven Advanced Manufacturing

Research Staff

Cho Eunkyung

Research Supporting Staff

Department of Mechanical Engineering, KAIST

General support for research
Won Young Kyu

Won Young Kyu

Assistant Researcher

Electrical & Radio Frequency Engineering

Robot System Automation Smart Factory AI-Driven Autonomous Manufacturing
Recent Publications
(2025). Acoustofluidics Lab on a Chip System for size-based Nanoparticle Separation. International Journal of Precision Engineering and Manufacturing-Green Technology.
Lab News & Updates

Contact Us

Get in touch with our team

Visit Our Lab

Just Do It Lab (N7-4, Level 4, Room 4118)

Department of Mechanical Engineering

Korea Advanced Institute of Science & Technology

291 Daehak-ro, Yuseong-gu

Daejeon 34141

Republic of Korea

Office Hours

Monday - Friday: 9:00 AM - 6:00 PM

Lab Meetings: Fridays 1:00 PM, biweekly

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