문인규
Moon, InkyuDepartment of Robotics and Mechatronics Engineering
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
- 2020 공로상 / DGIST
- 2007 Doctoral Dissertation Extraordinary Expense Award / University of Connecticut
- 2007 Doctoral Dissertation Fellowship Award / University of Connecticut
- 2007 Best Paper Award / Information Optics
- 2007 Summer Research Fellowship Award / University of Connecticut
연구실 소개
- Intelligent Imaging and Vision Systems Laboratory
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Intelligent 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 biology. Study 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.
- "Automated phenotypic analysis and classification of drug-treated cardiomyocytes via synergized time-lapse holographic imaging and deep learning", Ahmadzadeh, Ezat. (2025-09). Automated phenotypic analysis and classification of drug-treated cardiomyocytes via synergized time-lapse holographic imaging and deep learning. Computer Methods and Programs in Biomedicine, 269. doi: 10.1016/j.cmpb.2025.108890
- "Multiparty Random Phase Wrapping Secret-Sharing Systems for Visual Data Security", Kim, Youhyun. (2025-05). Multiparty Random Phase Wrapping Secret-Sharing Systems for Visual Data Security. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 55(5), 3586–3600. doi: 10.1109/TSMC.2025.3541827
- "Automated fast label-free quantification of cardiomyocyte dynamics with raw holograms for cardiotoxicity screening", Moon, Inkyu. (2025-02). Automated fast label-free quantification of cardiomyocyte dynamics with raw holograms for cardiotoxicity screening. Biomedical Optics Express, 16(2), 398–414. doi: 10.1364/BOE.542362
- "Privacy-Preserving Image Captioning with Partial Encryption and Deep Learning", Martin, Antoinette Deborah. (2025-02). Privacy-Preserving Image Captioning with Partial Encryption and Deep Learning. Mathematics, 13(4). doi: 10.3390/math13040554
- "Quantitative analysis of the dexamethasone side effect on human-derived young and aged skeletal muscle by myotube and nuclei segmentation using deep learning", Park, Seonghwan. (2025-01). Quantitative analysis of the dexamethasone side effect on human-derived young and aged skeletal muscle by myotube and nuclei segmentation using deep learning. Bioinformatics, 41(1). doi: 10.1093/bioinformatics/btae658
- "Double random phase-encoded image reconstruction based on denoising diffusion models", Zahar, Loaa El. (2025-04-14). Double random phase-encoded image reconstruction based on denoising diffusion models. Three-Dimensional Imaging, Visualization, and Display 2025, 1–7. doi: 10.1117/12.3052231
- "An overview of label-free quantitative holographic live cell imaging for drug toxicity assessment", Moon, Inkyu. (2025-04-14). An overview of label-free quantitative holographic live cell imaging for drug toxicity assessment. Three-Dimensional Imaging, Visualization, and Display 2025, 1–8. doi: 10.1117/12.3044391
- "Photon-counting imaging with denoising diffusion models", Park, Seonghwan. (2025-04-14). Photon-counting imaging with denoising diffusion models. Three-Dimensional Imaging, Visualization, and Display 2025, 1–7. doi: 10.1117/12.3052241
- "Deep Learning-Based Hash Function Cryptanalysis", Jeong, Ongee. (2024-10-17). Deep Learning-Based Hash Function Cryptanalysis. 15th International Conference on Information and Communication Technology Convergence, ICTC 2024, 1302–1303. doi: 10.1109/ICTC62082.2024.10826852
- "Privacy-Preserving Classification of Photon-Limited Images Using Deep Learning", Jeong, Ongee. (2024-10-16). Privacy-Preserving Classification of Photon-Limited Images Using Deep Learning. 15th International Conference on Information and Communication Technology Convergence, ICTC 2024, 683–684. doi: 10.1109/ICTC62082.2024.10826719
연구 뉴스
- 칼슘 이미징과 홀로그램을 결합해 심장근육세포를 더 정밀하게 분석한다! 2023-10-06
- Is Transfusion Blood Safe?'; AI Holograph ySystem Checks Blood Quality without Injections 2022-08-11
- ‘수혈 받는 피, 안전할까?’, 바늘로 찔러보지 않고도 혈액 품질 검사하는 AI 홀로그래피 시스템 개발 2022-07-05
- 심장박동을 ‘실시간 ․ 3D’로 더 세밀하게 분석하는 기법 개발 2022-05-03
- 효율성과 안전성 높인 광학기반의 데이터 암호화 기법 개발 2020-05-13
연구분야
미래유망 신기술(6T)
국가과학기술표준분류