About Me
I’m a Postdoctoral Researcher at the Graduate School of Artificial Intelligence, Pohang University of Science and Technology (POSTECH), affiliated with the Medical Artificial Intelligence Lab under the supervision of Professor Sang Hyun Park. I received my Ph.D. in Robotics and Mechatronics Engineering from DGIST in February 2026, and my B.S. from DGIST in February 2020.
I am interested in developing deep learning algorithms at the intersection of Brain-Computer Interfaces (BCI) and Artificial Intelligence. Specifically, my research focuses on building meta-learning and transfer learning frameworks to address inter-subject variability in biosignals, enabling adaptive BCI systems that perform effectively with limited labeled data. This facilitates personalized solutions for both machine control and clinical interventions across diverse domains, including brain signal analysis and medical image processing.
Keywords: Meta-Learning, Transfer Learning, Medical Image and Signal Processing, Brain-Computer Interfaces
Education
2020.03 - 2026.02
Doctor of Philosophy, Department of Robotics and Mechatronics Engineering, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu, South Korea, under the supervision of Prof. Sang Hyun Park
2015.03 - 2020.02
Bachelor of Engineering, School of Undergraduate Studies, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu, South Korea.
Research Experiences
2026.03 - Present
Postdoctoral Researcher at Graduate School of Artificial Intelligence, Pohang University of Science and Technology (POSTECH), affiliated with the Medical Artificial Intelligence Lab, Department of Computer Science and Engineering, under the supervision of Prof. Sang Hyun Park
2024.01 - 2024.12
Visiting Student at Shen Lab, University of Pennsylvania advised by Professor Li Shen
2017.03 - 2017.12
Undergraduate Group Research Program (UGRP) at BRAINLab, DGIST advised by Professor Jinung An
2017.01 - 2018.02
Undergraduate Research Assistant at DEMRC, DGIST advised by Professor Hongsoo Choi
Publications
Journal Articles
[J6] 2025
Subject-Adaptive Meta-Learning for Personalized BCI: A Fusion of Resting-State EEG Signal and Task-Specific Information
An, S., Kang, M., Kim, S., Chikontwe, P., Shen, L., & Park, S. H.
Information Fusion
Few shot Anomaly Detection using Positive Unlabeled Learning with Cycle Consistency and Co-occurrence Features
An, S., Kim, J., Kim, S., Chikontwe, P., Jung, J., Jeon, H., & Park, S. H.
Expert Systems with Applications (ESWA)
Video Domain Adaptation for Semantic Segmentation using Perceptual Consistency Matching
Ullah, I., An, S., Chikontwe, P., Kang, M., Choi, J., & Park, S. H.
Neural Networks (NN)
Dual Attention Relation Network with Fine-Tuning for Few Shot EEG Motor Imagery Classification
An, S., Kim, S., Chikontwe, P., & Park, S. H.
IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
Uncertainty-aware semi-supervised few shot segmentation
Kim, S., Chikontwe, P., An, S., & Park, S. H.
Pattern Recognition (PR)
Study on Intention Recognition and Sensory Feedback Control of Robotic Prosthetic Hand Through EMG Classification and Proprioceptive Feedback Using Rule-based Haptic Device
Cha, H., An, S., Choi, S., Yang, S., Park, S. H., Park, S.
IEEE Transactions on Haptics (ToH)
International Conference Papers
[C8] 2025
Few-Shot Logical Anomaly Detection with Text-based Logics via Language-Image Contrastive Training
Lee, S., Kim, S., An, S., Park, S. H., & Lee, S.
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD)
Subject-Adaptive Transfer Learning Using Resting State EEG Signals for Cross-Subject EEG Motor Imagery Classification
An, S., Kang, M., Kim, S., Chikontwe, P., Shen, L., & Park, S. H.
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) (Early Accept<Top11%)
[C6] 2024
Motor Imagery EEG Signal Generation from Resting-State Signal
An, S., Shen. L., & Park, S. H.
Annual International Conference of the IEEE Engineering in Medicine & Biology Society Research Poster (EMBC Research Poster)
Few Shot Part Segmentation Reveals Compositional Logic for Industrial Anomaly Detection
Kim, S., An, S., Chikontwe, P., Kang, M., Adeli, E., Phol, K. M., & Park, S. H.
AAAI Conference on Artificial Intelligence (AAAI)
Bidirectional RNN-based few shot learning for 3d medical image segmentation
Kim, S., An, S., Chikontwe, P., & Park, S. H.
AAAI Conference on Artificial Intelligence (AAAI)
Low-Dose CT Denoising Using Pseudo-CT Image Pairs
Won, D., Jung, E., An, S., Chikontwe, P., & Park, S. H.
MICCAI PRIME (International Workshop on PRedictive Intelligence In MEdicine)
Low-dose CT denoising using octave convolution with high and low frequency bands
Won, D., An, S., Park, S. H., & Ye, D. H.
MICCAI PRIME (International Workshop on PRedictive Intelligence In MEdicine)
Few-Shot Relation Learning with Attention for EEG-based Motor Imagery Classification
An, S., Kim, S., Chikontwe, P., & Park, S. H.
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Domestic Conference Papers
Robot gripper integrated thermal sensor based on pyroelectric effect
Choi, Y., Ryu, C., Kim, H., Park, H., An, S., Park, S. H., & Kim, H.
The Korean Society of Mechanical Engineers Annual Meeting
[D5] 2023
Anomaly Detection on Abdominal CT and Brain MRI based on Densitiy-Estimation
Lee, D., An, S., & Park, S. H.
Workshop on Image Processing and Image Understanding (IPIU)
Dual Attention Relation Network for Few Shot EEG Motor Imagery Classification
An, S., Kim, S., Chikontwe, P., Park, H., Abdul, T., & Park, S. H.
Summer Annual Conference of IEIE
[D3] 2021
Few Shot Learning based on Bidirectional Recurrent Neural Network for 3D Medical Image Segmentation
Kim, S., An, S., Chikontwe, P., & Park, S. H.
Workshop on Image Processing and Image Understanding (IPIU)
[D2] 2020
Neural Spike Detection using Deep Convolutional Neural Network
An, S., Kim, S., & Park, S. H.
Workshop on Image Processing and Image Understanding (IPIU)
Review Services
- Medical Image Analysis
- Neural Networks
- IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
- IEEE Transactions on Industrial Informatics (TII)
- IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
- IEEE Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
- IEEE Transactions on Knowledge and Data Engineering (TKDE)
- Journal of Biomedical and Health Informatics (JBHI)
- Cognitive Neurodynamics
- International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI)
- International Conference on Bioinformatics and Biomedicine (BIBM)
- The AAAI Conference on Artificial Intelligence (AAAI)
Awards
- (2026) Hyeseul Best Paper Award
- (2023) DGIST Outstanding Researcher Award
- (2023) DGIST Post-Graduate Research Abroad Awards
- (2023) Industry-Academia Scholarship from the CTO team at LG Electronics
- (2021) Ranked 3rd in SNUH Sleep AI Challenge