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researcher image '문인규'

문인규

Moon, Inkyu

Department of Robotics and Mechatronics Engineering

Researcher ID ORCiD Scopus Google Scholar Research Gate

 학력

  • 2004 ~ 2007코네티컷대학교 박사
  • 2004 ~ 2007코네티컷대학교 석사
  • 1996 ~ 1998성균관대학교 석사
  • 1992 ~ 1996성균관대학교 학사

 경력

  • 2009 ~ 2017조선대학교 / 교수
  • 2008 ~ 2009University of Connecticut, USA / Adjunct Faculty
  • 2008 ~ 2009코네티컷대학교 / Adjunct Faculty
  • 2008 ~ 2008BJ Information Technologies, USA / Researcher
  • 2004 ~ 2007University of Connecticut, USA / Graduate Research Assistant

 수상실적

  • 2020공로상
  • 2007Doctoral Dissertation Extraordinary Expense Award
  • 2007Doctoral Dissertation Fellowship Award
  • 2007Best Paper Award
  • 2007Summer Research Fellowship Award

연구실 소개

Intelligent Imaging and Vision Systems Laboratory

Intelligent Imaging and Vision Systems Laboratory cover image

Major Research AchievementsIntelligent Holographic Microscopy: 1) seminal work that allowed moving digital holography (DH) to a new intelligent microscopy in the field of life sciences (automated cell imaging & analysis with machine learning), 2) Developments in intelligent holographic microscopy integrated with numerical information processing and machine learning which enables to obtain rich, quantitative information about the structure of cells and microorganisms in noninvasive, real-time conditionsSecure Neural Nets Design: Studied on fast image cryptography based on digital holography to simultaneously provide confidentiality and integrity of unstructured big-data through the fusion of deep learning, computational optics, and digital encryptionComputational Integral Imaging: 1) Studied on integral imaging system having multiple sensors which are randomly distributed in three-dimensional (3D) space with unknown position and unparalleled optical axes for multi-view 3D imaging, 2) Integration of 3D integral imaging and computer stereo vision for generalized 3D imagingPublished more than 70 referred articles in journals listed in Science Citation Index (SCI) or Science Citation Index Expanded (SCIE) including Proc. of IEEE, ACS Photonics, Optics Express, Biomedical Optics Express, IEEE Transactions of Medical Imaging, IEEE Internet of Things Journal, and so on. Total citations: over 2100 (Google scholar), H-index: 25 Research VisionIntelligent Imaging and Vision Systems (IIVs) laboratory plans to develop a deep learning holographic microscopy in multimodal platforms and establish holographic cell imaging informatics with the fusion of multimodal digital holographic microscopy and deep learning for biomedical applications in the field of cell biologyStudy on 1) development of new multimodal digital holographic microscopy (MDHM), 2) Design of automated algorithms to estimate various different types of information on the cell state and enable a comprehensive understanding of cell structure and dynamics with nanoscale sensitivity through the fusion of MDHM, image processing, computer vision, and deep learning, 3) Applying newly designed multimodal holographic cell imaging informatics on bio-medical research (e.g., phenotypic cell biomarkers for an early theranostical approach of the psychiatric disorders, phenotypic high throughput screening (HTS) & high contents screening (HCS)Study on secure neural nets design based on the fully homomorphic image cryptography for secure artificial intelligence platforms development Networking with International CommunitiesIntelligent Imaging and Vision Systems laboratory has collaborated with more than 5 internationally leading groups in research on the 3D imaging group (Univ. of Connecticut) in USA, biomolecular screening group (EPFL) in Switzerland, 3D image processing group (Ben-Gurion University of the Negev) in Israel, neuroscience group (Laval Univ.) in Canada, and cellular dynamics/neuroenergetics group (Univ. of Lausanne Medical School and Hospital, EPFL) in SwitzerlandIIVs collaborates with Lyncée Tec, Switzerland for the development of the unique deep learning tools exploiting the strength of digital holographic microscopy in cell biology studies

Research Interests

Related Keyword

저널 논문

42
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특허

25
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연구 뉴스

연구분야

미래유망 신기술(6T)

  • 10.

    • 103.

      • 10314. 신호처리기술(영상․음성처리․인식․합성)

  • 10.

    • 103.

      • 10312. 정보보안 및 암호기술

국가과학기술표준분류

  • EE. 정보/통신

    • EE01. 정보이론

      • EE0108. 인공지능

  • EE. 정보/통신

    • EE03. 정보보호

      • EE0304. 산업보안/융합보안

  • ED. 전기/전자

    • ED01. 광응용기기

      • ED0104. 광계측/제어기기

  • EE. 정보/통신

    • EE02. 소프트웨어

      • EE0202. S/W 솔루션

  • EE. 정보/통신

    • EE03. 정보보호

      • EE0301. 공통 보안기술

  • EE. 정보/통신

    • EE03. 정보보호

      • EE0303. 서비스/응용보안

12대 국가전략기술 분야

  • 인공지능

    • 산업활용·혁신 AI

  • 사이버보안

    • 데이터·AI 보안