연구

연구실

연구실

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29건의 게시물이 있습니다.

There are a total of 29 posts.

주요연구

    • 터치스크린 지문 센싱
    • 체내 혈당 연속 측정
    • 무선전력전송
    • 에베네센트를 이용한 전력전송 및 통신
    • 통신을 위한 아날로그/디지털 통합회로 설계
  • 지도교수심재영

주요연구

    • 영상 개선 및 영상 복원
    • 반사 제거
    • 연무 제거
    • 수중 영상
    • 사람 검색
    • 객체 검출
    • 3차원 포인트 클라우드
    • 딥러닝

주요연구

    • Nonstationary Degradation Identification & Restoration
    • Design of Efficient Deep Neural Networks & Applications
    • Product Quality Inspection & Process Automation

주요연구

    • Inverse problems for various imaging modalities:
      - natural image restorations (super-resolution, denoising, deblurring, etc.)
      - medical image reconstructions (MRI, CT, SIM, Cryo-EM, DOT, EEG, fMRI, etc.)
    • Bridging between signal processing and deep learning communities:
      - providing a design principle for deep learning architectures
      - network analysis using topological data analysis (TDA)
    • Deep generative models:
      - developing a high fidelity and diverse image-to-image translation model
      - improving generative models based on theoretical understandings

주요연구

    In a broad sense, my research direction is to develop novel learning algorithms which overcome remaining challenges of deep-learning techniques. 


    • The current deep learning algorithms are
      i) dependent on a massive amount of training data,
      ii) hard to generalize to unseen tasks and iii) difficult to learn a new concept on the learned knowledge. 


    • To tackle these problems, I`m interested in following topics:
      - few-shot learning, meta-learning, lifelong learning (continual and incremental learning)
      - meta-reinforcement Learning and causal learning.

주요연구

    • 5G를 넘어서 6G를 상용화 하기위한 THz-range transceiver 및 beam-tracking technology
    • 자율주행을 위한 센싱 기술인 CMOS Radar 기술과 connected car를 위한 C-V2X 트랜시버의 개발
    • Massive IoT를 위한 초고속, 저전력 transceiver 연구
    • AI SoC의 computing performance를 높이고 전력 소모를 낮추기 위해 analog domain에서 Neuromorphic computing hardware를 연구
    • 반도체 디자인에 들어가는 시간과 비용을 획기적으로 줄이기 위해 Analog IC design의 자동화 기술에 대해서 연구

주요연구

    1. Surface-enhanced Infrared Absorption Spectroscopy
      We are developing a novel class of plasmonic structures for Surface-enhanced infrared absorption (SEIRA) spectroscopy. Extremely high near-field enhancement and enhanced sensing area formed at various plasmonic metamaterial structures may provide a promising sensing platform for future applications of ultrasensitive biological and chemical sensing and detection.
    2. Active metasurfaces
      We are developing ultra-fast electrically-tunable plasmonic metasurfaces based on coupling of plasmonic resonances in metallic nanostructures with intersubband transitions in multiple-quantum-well (MQW) structures.
    3. Nonlinear metasurfaces
      We are developing highly-nonlinear metasurfaces based on coupling of electromagnetically-engineered plasmonic nanoresonators with quantum-engineered intersubband nonlinearities.

주요연구

    • Real-time Access Network Architechture for  Edge Cloud Services using SDN/NFV/CCN
       - distributed cloud service architecture
      - real time wireless access architectue
    • Multi-path TCP
      - QoS enhancement for multi interface network
      - Data scheduling for MPTCP in wireless netwrok
    • Open IoT Software Platform Development for IoT Services
      - Sensor Network Life time  Enhance ment /Energy efficient  Protocol design
      - Sustainable Service Network Management architecture


주요연구

    • Deep learning processor architecture
    • Quantization methods for deep neural networks
    • Resistive Random Access Memory (ReRAM)
    • In-memory computing
    • Energy efficiency
    • Reconfigurable architecture
    • Compilers
  • 지도교수이준희

주요연구

    • 전동기 구동 시스템(Motor drive system)
    • 계통 연계형 컨버터(Grid connected converter)
    • 고전압 직류 송/배전 시스(High voltage DC transmission/distribution)