Anar Khuderchuluun

Detail-oriented Research Assistant with hands-on experience performing clerical and laboratory work to advance research goals. Drives team success with expertise in data review, reporting and specimen handling. Specializes in Holography, 3D displays, AR, and HOE.

• Holography
• 3D imaging
• Computer-generated hologram
• Holographic printing
• HOE fabrication
• HOE based AR display system
• Light-field 3D display
• Integral imaging
• 3D image processing

• Deep learning-based depth estimation technique for integral imaging microscopy system, 29th Conference on Optoelectronics and Optical Communication (COOC 2022), May 2022
• Accelerated magnetic resonance image reconstruction from under-sampled k-space data using convolutional neural networks, 29th Conference on Optoelectronics and Optical Communication (COOC 2022), May 2022
• Full-color holographic stereogram printing based on effective digital content generation using IDP algorithm, Conference on Practical Holography XXXVI: Displays, Materials, and Applications, March 2022
• Dual-domain MRI reconstruction using CNN-GAN networks removing aliasing and blurring artifacts, 2021 Photonics Conference (PC 2021), Pyeongchang, South Korea, December 2021
• Microlens Array Rotational Error Calibration Method for Integral Imaging Microscopy System, SPIE Advanced Biophotonics Conference (SPIE ABC 2021), Busan, South Korea, November 2021
• User interactive display system for integral imaging microscopy using a head tracking camera, 21st International Meeting on Information Display (IMID-2021), August 2021
• Comparison Between Rectangular and Hexagonal Hogel for Holographic Stereogram Printer Based on Integral Imaging, Digital Holography and Three-Dimensional Imaging 2021, Washington DC, USA, July 2021
• Air-writing recognition using a fusion CNN-LSTM neural network, 8th International Conference on Electronics, Electrical Engineering, Computer Science: Innovation and Convergence (8th EEECS 2021), July 2021
• User interactive 3D display system for integral imaging microscopy using a tracking camera, 28th Optoelectronics and Optical Comm. Conf., June 2021
• User interactive high-resolution multi-view display system using a three-dimensional head-tracking camera, Proc. SPIE 11708, Advances in Display Technologies XI (SPIE.), March 2021
• Microlens array displacement calibration method for integral imaging microscopy system, Photonics Conf., November 2020
• Centroid Shift Calibration of Microlens Array for Integral Image Microscope, 20th International Meeting on Information Display (IMID), August 2020
• Resolution Enhancement of an Integral Imaging Microscopy Using Generative Adversarial Network, 14th Pacific Rim Conference on Lasers and Electro-Optics, Sydney, Australia, August 2020

• 2017.03.02, 2020.04.30
• 2021.04.01, 2022.12.30

• SCI(E) Journal Papers, Enhanced 3D Point Cloud Reconstruction for Light Field Microscopy Using U-Net-based Convolutional Neural Networks, Computer Systems Science and Engineering, 2023, 47(3), 2921-2937, 10.32604/csse.2023.040205, S.M. Imtiaz, K.-C. Kwon, F.M.F. Hossain, M.B. Hossain, R.K. Shinde, S.-K. Gil, and N. Kim, First author, 2.2
• SCI(E) Journal Papers, A hybrid residual attention convolutional neural network for compressed sensing magnetic resonance image reconstruction, Diagnostics, 2023, 13, 7, 1306, 10.3390/diagnostics13071306, M.B. Hossain, K.-C. Kwon, R.K. Shinde, S.M. Imtiaz, and Nam Kim, Co-author, 3.6
• SCI(E) Journal Papers, High-quality 3D visualization system for light-field microscopy with fine-scale shape measurement through accurate 3D surface data, Sensors, 2023, 23, 2173, 10.3390/s23042173, K.H. Kwon, M.-U. Erdenebat, N. Kim, A. Khuderchuluun, S.M. Imtiaz, M.Y. Kim, and K.-C Kwon, Co-author, 3.9
• SCI(E) Journal Papers, De-aliasing and accelerated sparse magnetic resonance image reconstruction using fully dense cnn with attention gates, Bioengineering, 2023, 10, 22, 10.3390/bioengineering10010022, M.B. Hossain, K.-C. Kwon, S.M. Imtiaz, O.-S. Nam, S.-H. Jeon, and N. Kim, Co-author, 4.6
• SCI(E) Journal Papers, Squeeze-MNet: Precise skin cancer detection model for low computing IoT devices using transfer learning, Cancers, 2023, 15, 12, 10.3390/cancers15010012, R.K. Shinde, M.S. Alam, M.B. Hossain, S.M. Imtiaz, J. Kim, A.A. Padwal, and N. Kim, Co-author, 5.2
• SCI(E) Journal Papers, Depth estimation for integral imaging microscopy using a 3D–2D CNN with a weighted median filter, Sensors, 2022, 22, 5288, 10.3390/s22145288, S.M. Imtiaz, K.-C. Kwon, M.B. Hossain, M.S. Alam, S.-H. Jeon, and N. Kim, First author, 3.9
• SCI(E) Journal Papers, Identification and correction of microlens-array error in an integral-imaging-microscopy system, Current Optics and Photonics, 2021, 5(5), 524-531, 10.3807/COPP.2021.5.5.524, S.M. Imtiaz, K.-C. Kwon, M.S. Alam, M.B. Hossain, N. Changsup, and N. Kim, First author, 0.879
• SCI(E) Journal Papers, TARNet: An efficient and lightweight trajectory-based air-writing recognition model using a CNN and LSTM network, Human Behavior and Emerging Technologies, 2022, 6063779, 10.1155/1970/6063779, M.S. Alam, K.-C. Kwon, S.M. Imtiaz, M.B. Hossain, B.-G. Kang, and N. Kim, Co-author, 10.3
• SCI(E) Journal Papers, Trajectory-based air-writing recognition using deep neural network and depth sensor, Sensors, 2020, 20, 376, 10.3390/s20020376, M.S. Alam, K.-C. Kwon; M.A. Alam, M.Y. Abbass, S.M. Imtiaz, N. Kim, Co-author, 3.576