About Me
I’m a Ph.D. Candidate in Medical Image and Signal Processing Laboratory at Daegu Gyeongbuk Institute of Science and Technology (DGIST) advised by Professor Sang Hyun Park. I obtained my B.S. from DGIST in February 2020.
I am interested in developing deep learning algorithms for tailored solutions. Specifically, my research focuses on personalized and targeted tasks using meta-learning and transfer learning techniques to build AI solutions that perform effectively with limited labeled data and supplementary information. This facilitates the application of AI across diverse domains, including brain signal analysis and anomaly detection.
Keywords: Meta-Learning, Transfer Learning, Medical Image and Signal Processing, Brain-Computer Interfaces
Education
2020.03 - Present
Combined Undergraduate-Graduate Program, Department of Robotics and Mechatronics Engineering, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu, South Korea.
2015.03 - 2020.02
Bachelor of Engineering, School of Undergraduate Studies, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu, South Korea.
Research Experiences
2024.01 - Present
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
Articles in Submission/Preparation
Under Review
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.
In preparation
Resting State EEG signal based Subject-Adaptive Meta-Learning for Brain-Computer Interface
An, S., Shen, L., & Park, S. H.
Journal Articles
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
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
- IEEE Transactions on Industrial Informatics (TII)
- IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
- IEEE Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
- Neural Networks (NN)
- Cognitive Neurodynamics
- International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI)
- International Conference on Bioinformatics and Biomedicine (BIBM)
Awards
- (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