About Me
Hi! I am a MS/Ph.D student in the Department of Artificial Intelligence at Korea University. My advisor is Prof. Christian Wallraven, and I am a member of the Cognitive Systems Lab.
- Phone : +82-10-5028-3288
- E-mail: hscho9384@korea.ac.kr
- Github: https://github.com/Heeseung-Cho
- Linkedin: https://www.linkedin.com/in/heeseung-cho-2222b1204/
Please contact me if you want to know more about me! See CV for more information.
Research paper
XAI
- Consistent gender prediction in personality: Adapting machine learning to open online datasets (1st, on proceeding)
Healthcare AI
- Multi-Epochs Window in Single-Channel PPG Signals from Smartband for Real-time Automatic Sleep Staging (1st, IEEE IoT, Mar 2024, under reviewing)
- Automatic Sleep Stage Classification Using Nasal Pressure Decoding Based on a Multi-Kernel Convolutional BiLSTM Network (Co-author, IEEE Transactions on Neural Systems & Rehabilitation Engineering, Nov 2023, under reviewing)
- Facial Features Speak Louder: Insights into Cognitive Impairment Detection through Facial Features (Co-author, INTERSPEECH, Mar 2024, under reviewing)
Work Experience
LG CNS / Data Scientist(DW/BI) (2018/01/01 ~ 2020/02/17)
- DW Management(Oracle SQL)
- UI developer(2018.03 ~ 2020.02)
- Stack: .Net, C#, Spotfire, Python, R, SAS
WKIT (2023/01/09 ~ 2023/04/31)
- AI developer
- Time-series water quality estimation (2023.01~2023.03)
- Stack: Python, Pytorch
Voinosis (2023/05/01 ~ Current)
- AI developer
- Speech-based major depression disorder detection (2023.05 ~ 2023.06)
- Early estimation of Alzheimer’s disease from acoustic-based voice feature (2023.07 ~ 2023.12)
- Diagnosis Alzheimer’s disease on eye-gaze fixation (2024.01 ~ )
- Stack: Python, Pytorch
Teaching Assistant
- Advanced Econometrics / Sogang University (2016 Fall Semester)
- Data Science and AI / Korea University (2021 Spring Semester)
- AI/DT Course Python / SK FastCampus (2021/1/8 ~ 2021/1/11)
- Data Creater Camp / K-ICT (2021/9/4 ~ 2021/11/20, 2022/10/3 ~ 2022/11/4)
Lecturer
- Big Data Analysis - R / K-ICT (1st: 2021/4/7 ~ 2021/4/9, 2nd: 2021/7/12 ~ 2021/7/14) GitHub
- Big Data Visualizing with R / Korea University BK21 (2021/10/25 ~ 2022/1/3) Notion
- Big Data Analysis - Python / K-ICT (2022/7/9,16)
Activity
- DACON Education DACREW - Team leader (2022/7/6 ~ 2022/8/31) Github 8 Weeks study about generation models(GAN) with Tensorflow and Pytorch
- SNUAI 10th: Deep learning paper study - member (2021/8/1 ~ 2021/11/2)
Certification
Advanced Data Analytics Semi-Professional
- Certificated Date: 2016/06/28
SAS Base Programming for SAS 9
- Certificated Date: 2016/08/22
Honors & Awards
| Year | Organization | Topic | Place |
|---|---|---|---|
| 2022 | Kaggle | Google Universial Image Embedding | Bronze(88th) |
| 2021 | MindCompany | Teeth detection | 3rd |
| 2020 | BigContest | Predicting future sales of NS home-shopping | Final |
| 2019 | Kaggle | Santander Custoumer Transaction Prediction | Bronze(760th) |
Education
Sogang University (2011/03/02 ~ 2018/02/20)
Major: Math, Ecocomics
Degree: Bachelor’s degree
- Main courses: Statistics, Probability Theory, Game Theory, Econometrics
Korea University(2020/03/02 ~ )
Major: Department of Artificial Intelligence
Degree: Integrated MS/Ph.D
- Research Interest : Computer Vision, XAI, Decision Making
Language Skill
- Main: Python(+ Pytorch, Tensorflow), R, Docker
- Sub: Java, .Net Framework, SQL(Oracle)
Hobby/Interest
- Game : Hearthestone, Pokemon
- Exercise : Bicycle, Bowling, Table Tennis