홈페이지  계산 인지와 표상 연구실 http://compcorelab.com/

최종학력

Ph.D. in Cognitive Science, State University of New York, Stony Brook

연구 분야

• Computational Cognitive Science
• Cognitive and Behavioral Modeling
• Human–AI Interaction
• Visual Attention and Eye Movements

강의

• Research Methods and Scientific Writing
• AI Safety and Reliability     

주요 논문

• Raina, R., Leite, A., Graikos, A., Ahn, S., Samaras, D., & Zelinsky, G. (2026). Generating metamers of human scene understanding. ICLR (Oral).
• Ahn, S., Adeli, H., & Zelinsky, G. (2024). The attentive reconstruction of objects facilitates robust object recognition. PLOS Computational Biology.
• Adeli, H., Ahn, S., & Zelinsky, G. J. (2023). A brain-inspired object-based attention network for multiobject recognition and visual reasoning. Journal of Vision, 23(5), 1-17.
• Ahn, S., Zelinsky, G. J., & Lupyan, G. (2021). Use of superordinate labels yields more robust and humanlike visual representations in convolutional neural networks. Journal of Vision, 21(13), 1-19.
• Ahn, S., Kelton, C., Balasubramanian, A., & Zelinsky, G. (2020). Towards predicting reading comprehension from gaze behavior. In Proceedings of the ACM Symposium on Eye Tracking Research & Applications (ETRA), 32, 1-5.