Na Min An

​- Research Intern​, Brain Science Institute, KIST​ (Korea Institute of Science and Technology), Seoul, South Korea (Jan 2021 - Feb 2022, Oct 2022 - Feb 2023) 

- Research Intern​, Mathematics, University of Seoul, Seoul, South Korea (Sep 2020 - Dec 2020) 

1. Im, M., Roh, H., and An, N​. M. (2022). Artificial vision parameter learning and automating method for improving visual prosthetic systems (US Patent Application No. 18075555).
2. Im, M., Roh, H., and An, N​. M. (2021). Artificial vision expression parameter automation learning system method for improving artificial vision device​ (Korea Patent Granted No. 0172619).

Working Papers

- An, N. M.​, Roh, H., Kim, S., Kim, J. H., and Im, M. (2023). Reinforcement learning-based feedback framework to simulate human psychophysical experiment of prosthetic vision, in writing. 

- An, N. M.​, Roh, H., Kim, S., Kim, J. H., and Im, M. (2023). Machine learning approaches as an alternative for human psychophysical tests of low-resolution artificial vision, in writing. 

 

International Conference

1. An, N. M.​, Roh. H., Jung, S., Kim, E. J., and Im, M. (2021). Machine learning can replace human prosthetic vision psychophysical experiment. In ​Proc. of the IEEE/43rd Annual International Conferences​. EMBS. 

Domestic Conference

1. Kim, S., An, N. M., Roh, H., Kim, J. H., and Im, M. (2022). Human subject gaze tracking and artificial neural network saliency maps during visual recognition of phosphene array face images for artificial vision, In the 25th Annual Meeting of the Korean Society for Brain Neural Science. KSBNS.
2. 안나민, 노현희, 임매순 (2021). 인공 시각 포스핀 이미지 인지 실험 대체를 위한 머신러닝 비교. 2021년 대한전자공학회 추계학술대회