About
I'm open to any research topic — Neural Interfaces (BCI, neural decoding), Evaluation & Datasets, LLM, VLA, Agent, and more. I'm always happy to discuss interesting AI research collaborations!
News
Named a NeurIPS 2026 Top Reviewer (E&D Track). 🏅
Our paper SPIA has been accepted to ACL 2026 (Main Conference). 🎉
Our EEG emotion recognition review and EEGEmotions-27 dataset papers were published in IEEE Access.
Started Ph.D. at Soongsil University (Computer Science).
Joined T-Scientific as AI Research Engineer following the IT Nomads acquisition.
Joined IT Nomads as AI Engineer.
Subject-level inference for realistic text anonymization evaluation
Myeong Seok Oh, Dong-Yun Kim, Hanseok Oh, Chaean Kang, Joeun Kang, Xiaonan Wang, Hyunjung Park, Young Cheol Jung, Hansaem Kim
ACL 2026 (Main Conference)
EEG-Based Emotion Recognition: A Review and Emerging Paths
Huy-Tung Phuong, Eun-Tack Im, Myeong Seok Oh, Gwang-Yong Gim
IEEE Access
EEGEmotions-27: A Large-Scale EEG Dataset Annotated With 27 Fine-Grained Emotion Labels
Huy-Tung Phuong, Eun-Tack Im, Myeong Seok Oh, Gwang-Yong Gim
IEEE Access
Modeling Customer Satisfaction based on Kano Model from Online Reviews: Focused on Deep Learning Natural Language Processing
Myeong Seok Oh, Taehoon Kim, Eun-Tack Im
2022 IEEE/ACIS 7th International Conference on Big Data, Cloud Computing, and Data Science (BCD), pp. 22–26, IEEE
The Effects of Product's Visual Preview and Customer Review on Sale Performance in Mobile Commerce
Eun-Tack Im, Huy-Tung Phuong, Myeong Seok Oh, Jun-Yeob Lee, Simon Gim
Studies in Computational Intelligence
The Effects of Product's Visual Preview on Customer Attention and Sales Using Convolution Neural Networks
Eun-Tack Im, Huy-Tung Phuong, Myeong Seok Oh, Jun-Yeob Lee, Simon Gim
Studies in Computational Intelligence
Agentic System for Multimodal Data Privacy
Multimodal AI for privacy-preserving PII detection, tracking, and de-identification across modalities. Leading research design and modeling.
Time-Series Anomaly Detection & Failure Prediction on Server Metrics
AI modeling for multivariate time-series server metrics as part of an agentic security/observability solution. Responsible for modeling, benchmark design, and data analysis.
Scene Text Editing for Image Anonymization
Diffusion-based image editing model and benchmark for PII-bearing scene text in Korean. Built synthetic data generation pipelines and ran benchmark experiments.
Face Swap for Image Anonymization
Diffusion-based face replacement pipeline for image anonymization — swapping real faces with reference faces while preserving pose and expression. Built a ReferenceNet-based swap module as a higher-utility alternative to blur/mosaic.
Text PII Detection & De-identification
AI-based PII detection and de-identification for conversational text. Built the modeling stack and a practitioner-facing web application.
- Soongsil UniversityMar 2024 – PresentPh.D. in Computer Science
- Apr 2023 – PresentT-ScientificApr 2023 – PresentAI Research Engineer, AI Lab
Full-cycle AI research: data, modeling, evaluation, publication.
- Jun 2022 – Apr 2023IT NomadsJun 2022 – Apr 2023AI Engineer, R&D Center
AI model development across data curation, training, evaluation, and deployment.
- Soongsil UniversityMar 2020 – Feb 2022M.S. in Computer Science
- Soongsil UniversityMar 2014 – Feb 2020B.B.A. in Business Administration