교수소개
김형진 (조교수)
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소속
지능형디스플레이공학과, 신소재공학과
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전공
반도체 소재
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주요경력
- 연세대학교 신소재공학과 조교수
- Stanford University 박사후연구원
- UC Berkeley 박사후연구원
EDUCATION (학위)
- Ph.D. in Electrical Engineering and Computer Sciences, UC Berkeley (2021)
- M.S. in Electrical and Computer Engineering, Seoul National University (2016)
- B.S. in Electrical and Computer Engineering, Seoul National University (2014)
CAREER (경력)
- 2022 - Present
Assistant Professor, Yonsei University
- 2021 - 2022
Postdoctoral Scholar, Stanford University
- 2021
Research Affiliate, Stanford Linear Accelerator Center
- 2019
Research Affiliate, Los Alamos National Laboratory
- 2016 - 2021
Research Affiliate, Lawrence Berkeley National Laboratory
RESEARCH INTEREST (연구주제)
- Research Area: Nano-Optoelectronic Semiconductors & Devices
- We are an interdisciplinary research group working at the interface of
Nanotechnology
Semiconductor physics
Optoelectronics
- We modulate the interactions between electromagnetic waves and electrons in semiconductors to create new functionalities for next-generation applications.
- Material Properties
Our research focuses on investigating the optoelectronic properties of low-dimensional semiconductors and exploring their opportunities for various applications. The strategy to overcome the inherent limitations of materials is modulating material properties by chemical and electrical doping, layer-by-layer disassembly, strain application, and multi-dimensional integration. It is of significant importance to tackle the challenges in conventional semiconductors for solving the environmental and global energy issues.
- Device Applications
The ultimate vision of our research group is to develop next-generation device applications that will host novel material properties we explored. A new class of light-emitting diodes (LEDs) will accelerate the realization of metaverse and optical gas sensing platforms will enable the internet of things (IoT) technology. Beyond the scope of optoelectronic/electronic device applications, we also aim at pioneering optical synapses for neuromorphic computing.
AWARD (수상)