Prof. In-kyu Moon
Education
Ph.D. in Electrical & Computer Engineering, Univ. of Connecticut, USA (2004-2007)
M.S. in Electrical & Computer Engineering, Univ. of Connecticut, USA (2004-2007)
M.S. in Electronics Engineering, Sungkyunkwan University, South Korea (1996-1998)
B.S. in Electronics Engineering, Sungkyunkwan University, South Korea (1992-1996)
Research Interests
Intelligent Imaging Systems
AI-based Image Analysis
AI-based Cryptosystems and Cryptanalysis
Awards and Honours
2018 Best Paper Award, SPIE Defense + Commercial Sensing 2018
2015 Grantee of Global Research Lab (GRL) Program, NRF of Korea
2015 Nomination for Distingushed Alumni Award, Univ. of Connecticut
2014 Exchange Professor Program Award, LG Yonam Culture Foundation
2011 Front Cover of OSA Optics and Photonics News
2007 Doctoral Dissertation Fellowship Award, Univ. of Connecticut
2007 Best Paper Award, Information Optics Workshop
2006 & 2007 Predoctoral Fellowship Award, Univ. of Connecticut
Selected publications
I. Moon, Y. Kim, S. Gholami, and O. Jeong, “Double random phase encoding schemes with perfect forward secrecy for robust image cryptography,” OSA Continuum 4, 2245-2259, 2021 (first and corresponding author, IF=1.6 in 2022)
I. Moon, K. Jaferzadeh, Y. Kim, and B. Javidi, “Noise-free quantitative phase imaging in Gabor holography with conditional generative adversarial network,” Optics Express 28, 26284-26301, 2020 (first and corresponding author, IF=3.669, JCR= 19/97 in 2019)
O. Jeong and I. Moon, “Adaptive transfer learning-based cryptanalysis on double random phase encoding,” Optics & Laser Technology 168, 109916, 2024 (corresponding author, IF=5.0, JCR= 18/100 in 2022)
S. Park, Y. Kim, and I. Moon, “Automated phase reconstruction and super-resolution with deep learning in digital holography,” Optics & Laser Technology 176, 111030, 2024 (corresponding author, IF=5.0, JCR= 18/100 in 2022)
A. Rehman, H. An, S. Park, and I. Moon, “Automated classification of elliptical cancer cells with stain-free holographic imaging and self-supervised learning,” Optics & Laser Technology 174, 110646, 2024 (corresponding author, IF=5.0, JCR= 18/100 in 2022)
For more publications, please visit: https://iivs.dgist.ac.kr/wordpress/index.php/publications/
