About
SangYeop Jeong (정상엽)
Undergraduate Research Assistant → Incoming Graduate Student
Artificial Intelligence, Seoul National University of Science and Technology
Education
서울과학기술대학교
- B.S. in Computer Science (Expected: 2027.02)
- M.S. in Computer Science (Starting: 2027.02)
Our Lab
Department of Applied Artificial Intelligence, SeoulTech
Advisor: Prof. Seong-Eun Kim
Position: Undergraduate Research Intern (Winter 2024 ~ Present)
The BrAIn Lab focuses on developing cutting-edge AI technologies inspired by brain functions.
Our research spans multiple domains at the intersection of neuroscience and artificial intelligence:
- Brain-Computer Interfaces (BCI): EEG-based systems for real-world applications
- Deep Learning for Signal Processing: Advanced neural architectures for biomedical signals
- AI for Healthcare: Intelligent systems for medical diagnosis and patient monitoring
- Neuromorphic Computing: Energy-efficient computing inspired by brain structures
The lab is supported by the National Research Foundation of Korea, SeoulTech, and ETRI, with various scholarship opportunities for graduate students.
Lab Website: www.brainailab.com
Research Interests
My research focuses on the intersection of Computer Vision, Computer Graphics, Virtual Reality, and AI applications.
I’m particularly interested in:
- 3D & 4D Scene Generation (3D Gaussian Splatting)
- VR/AR with AI application
- Multimodal AI Systems(ex. Vision + Audio)
- Human and Computer Interaction(HCI)
Technical Skills
Programming Languages :
- Python
- C / C++ / C#
- html
- java
Frameworks & Tools :
- Unreal Engine
- Unity Engine
- MATLAB
Projects
User Experience in VR Emotion Recognition Platform (2025.11.15 ~2025.01.22)
Unity-based VR application integrating Convai AI avatars with real-time emotion analysis using acoustic features on Meta Quest 3.
EEG-based Reaction Time Classification using Deep Learning (2025.05.28 ~ 2025.08.31)
Classification of reaction time from EEG signals using deep learning models (EEGNet, ATCNet, LSTM) to explore the potential for predicting cognitive enhancement on Random Dot Kinematogram dataset.
Publications & Presentations
Conference Papers
- Coming soon…
Poster Presentations
- “EEG-based Reaction Time Classification using Deep Learning”, The Institute of Electronics and Information Engineers(IEIE), 2025.06
Workshop Papers
- Coming soon…
Contact
Email: yeobi5840@gmail.com
GitHub: github.com/absolutebedrest
Last updated: December 2025
