Education
08/2022
Ph.D., Materials Science and Engineering, Seoul National University, Korea
(Advisor: Prof. Ho Won Jang)
02/2019
M.S., Materials Science and Engineering, Seoul National University, Korea
02/2017
B.S., Materials Science and Engineering, Korea University, Korea
Professional Experience
07/2023 – 02/2026
Research associate, Materials Science & Engineering, NanoScience Technology Center, University of Central Florida, USA (Advisor: Prof. Yeonwoong Jung)
08/2022 – 07/2023
Post-doc. Fellow, Materials Science and Engineering, Seoul National University, Korea
Career
03/2026 - Present
Assistant Professor at Hanyang University (ERICA)
School of Semiconductor Convergence Engineering, College of Advanced Technology and Convergence, Department of Photonics and Nanoelectronics
Address : 207 Dong-601-2, Hanyangdaehakro 55, Sangnokgu, Ansan City, Gyeonggido, 15588, Korea
Phone (office) : 031-400-5490
E-mail : chungwonlee(at)hanyang.ac.kr
Homepage : sites.google.com/view/anslab
Google scholar : Chung Won Lee - Google Scholar
Teaching Experience
Fall 2024 EMA 5504 Modern Characterization of Materials
Fall 2025 IDS 6260 Properties of Materials at Nanoscale
Fall 2025 EMA 5504 Modern Characterization of Materials
Research Interest
Nanomaterials, Nanoelectronics, Artificial Synapses, Sensors, Optoelectronics, Surface science, Field-effect transistors, Ion-sensitive field effect transistors, Porous materials (MOFs, COFs)
Fields of Research
Postdoctoral Research
· Optoelectronic devices using 2D materials for artificial synaptic devices
- One-step metal oxide (TeO2) chemical vapor deposition to rigid/flexible substrates/ Photodetector, optoelectronic devices for artificial synaptic device usage
- Mxene (Ti3C2) synthesis using liquid process application to flexible substrates/ Optoelectronic device fabrication for flexible synaptic devices
- Nano-scaled metal dichalcogenide synthesis via e-beam evaporator and facile CVD process on flexible substrates for optoelectronic, fully-optical driven artificial synaptic devices
· Computational calculations using python for machine learning and artificial intelligence
- Pattern, letter, image prediction using python for applications of artificial synaptic devices
- Software letter printing using the on/off signals of optoelectronic devices
- AdaBoost algorithm to predict and classify the signals of optoelectronic devices
- Logic gate function (OR, AND, NOR, NAND etc.) applications using the optical signals
Ph.D. Research
· Synthesis of 2D materials including graphene and transition metal disulfides via CVD, liquid process for chemical sensors to detect gaseous species and develop electric nose
· 2D material fabrication on substrate using liquid, CVD process and microfluidic channel integration for chemical sensors to detect ions in liquid phases to develop reliable electric tongue
- Surface science on 2D materials and molecular sieve fabrication to enhance selectivity on specific ions or molecules
- Fluidics to manage liquid flow for reliable ionic/molecular detection
Technical Skills
1. CVD graphene transfer to Si/SiO2 substrate and device fabrication
2. Hydrothermal synthesis with 2D materials or other materials
3. Solution process for material synthesis, fabrication, preparation
4. Zeolites, MOFs for membrane usage, spin coating viscous materials for molecular sieves
5. Optoelectronic device fabrication and handling for artificial synaptic devices
6. Computational calculations (python) for machine learning
7. Probe station, mass flow controller for ionic, gas sensor measurements
8. Piezoresponse Force Microscopy for imaging piezoelectric/ferroelectric materials domains
9. Lithography for electrode patterning, MEMS device fabrication
10. Atomic Force Microscopy (AFM) for 2D material surface scan
11. 3D modeling and designing for figures and ToCs