Sion An

Ph.D. Candidate, Department of Robotics and Mechatronics Engineering, DGIST

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

[J5] 2024

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)

[J4] 2024

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)

[J3] 2023

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)

[J2] 2023

Uncertainty-aware semi-supervised few shot segmentation

Kim, S., Chikontwe, P., An, S., & Park, S. H.

Pattern Recognition (PR)

[J1] 2022

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

[C7] 2024

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)

[C5] 2024

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)

[C4] 2021

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)

[C3] 2021

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)

[C2] 2020

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)

[C1] 2020

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

[D6] 2024

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)

[D4] 2022

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)

[D1] 2017

Development of Helical Drilling Microrobot Based on Catheter and Guidewire for Chronic Total Occlusion Treatment

Lee, H., An, S., Jeon, S., Kim, K., Lee, S., Lee, S., Kim, J. Y., & Choi, H.

The Korean Society of Mechanical Engineers Annual Meeting

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