Combining a semi-classical theory with machine learning methods to analyze and solve problems in OLEDs
Analyzing electrical, chemical and optical aspects of operational lifetime of OLED devices and materials
Exploring device architectures and material systems to overcome fundamental limits in OLED performance
Developing high-efficiency and long-lifetime OLEDs via inkjet printing process
* Project sponsors: SAIT (삼성 종합기술원), SDC (삼성 디스플레이), NRF (한국연구재단), KEIT (한국산업기술평가관리원)
Exploring µ-display technologies (µOLED and µLED) for VR and AR applications
Developing brand-new processes for high-resolution pixel patterning for VR µOLEDs
Enhancing visual experience in high-resolution displays using algorithms that eliminate the visual artifacts
Integrating µLEDs with waveguide optics (e.g. holographic optical elements) to realize AR applications
* Project sponsors: SEC (삼성전자 DS), KIAT (한국산업기술진흥원)
Semiconductor theory and CMOS processes, Electromagnetics, Ray Optics, Quantum Mechanics, Organic Chemistry, Machine Learning
Tools for programming and data processing: Python, MATLAB
Tools for hardware control and automation: LABVIEW