About me
I am researching Non-invasive biomedical signal analysis and finance.
Current research topic
- biomedical signal analysis
- Heart arrhythmia detection
- Blood pressure estimation
- Emotion classification
- Sleep stage classification
- Biometric
- Finance / Cryptocurrency
- Portfolio classification
- Stock price movement prediction
Education
- 2019-2021 M.Eng in Embedded Software, Kwangwoon University, Seoul, Korea, Supervisor - Cheoolsoo Park.
- 2017-2019 B.Eng in Mechanical Engineering, Sahmyook University, Seoul, Korea. Transfered from Seoil University(2014-2016)
Professional Experience
- 2022.09-2024.03 Software Engineer, Drax Korea, Korea.
- 2020.12-2022.09 Software Engineer, DUDUIT, Korea.
External Activities
- Lab manager, Multi-RL Env LAB, MODULABS, 2024-Now
- Technical Advisor, Jongiefilm Cinematic AI Center, 2024-Now
- Automotive design Advisor, Team Mad for Speed (Automotive study club), Sahmyook University, Korea, 2017-2019
Honors & Awards
- 21/431 (5%), Monthly Dacon Voice Emotion Recognition AI Competition, 2023
- 54/358 (15%), Dacon Basic Calorie Consumption Prediction AI Competition, 2023
- Excellence Student Paper Award, “Arrhythmia classification algorithm using graph neural networks”, IEIE Summer conf., 2022
- Excellence Award, Cybersecurity AI/Big Data Contest - AI-based Powershell Malicious Script Detection Track, 2021
Professional Membership
- Member, The Institute of Electronics and Information Engineers
- Member, The Korea Society of Computer and Information
- Member, The Korean Society of Mechanical Engineers
Publications
Journal Articles
[1] Y. Kang, G. Yang, H. Eom, S. Han, S. Baek, S. Noh, Y. Shin, C. Park. GAN- based patient information hiding for an ECG authentication system Biomedical Engineering Letters 13 (2), 197-207, 2023. SCIE, IF=4.6
[2] K. Kim, Y.S. Hariyani, S. Han, H. Lee, R. Son, C. Park. Optimization of Deep Neural Networks for Heartrate Estimation from Face Video Stream to Implement Smart Health-City. Korean Institute of Communications and Information Sciences journal, 2020. IF=0.26
[3] C. Lee, W. Lee, S. Han, C. Park. ECG-based Arrhythmia Detection SNN Algorithm using STDP and Spike Inference for Smart Health City. Korean Institute of Communications and Information Sciences journal, 2020. IF=0.26
[4] S. Han, W. Lee, H. Eom, J. Kim, C. Park. Detection of arrhythmia using 1D convolution neural network with LSTM model. IEIE Transactions on Smart Processing & Computing 9 (4), 261-265, 2020. SCOPUS, IF=0.83 2/4
[5] H. Eom, D. Lee, S. Han, Y.S. Hariyani, Y. Lim, I. Sohn, K. Park, C. Park. End-to-End Deep Learning Architecture for Continuous Blood Pressure Estimation Using Attention Mechanism. Sensors, 2020. SCIE, IF=3.9
Conference proceeding
[1] S. Han, W. Lee, M. Jeong, U. Sunarya. Optimal deep ECG denoising model search using Hyperband approach. KSME IT Intelligence Convergence Spring Conference, 2024.
[2] S. Han, J. Baek, C. Park. Arrhythmia classification algorithm using graph neural networks. IEIE Summer Conference, 2022.
[3] S. Han. AI model based variational mode decomposition using signal data. Korean Institute of Communications and Information Sciences Conference, 2022.
[4] S. Han, S. Nam. Development of an Autoencoder Model to Improve Security Strength of Sensor Networks using Simulation Data through DEVS-based Modeling. IEIE Autumn Conference, 2022.
[5] G. Hong, J. Kim, J. Yu, S. Han*(corresponding author), S. Lee, B. Cho, J. Jeon. A Study on the Feature Selection for Firewall Log Analysis using Bee Swarm Optimization with Reinforcement Learning Korean Institute of Communications and Information Sciences Conference, 2021.
[6] S. Han, H. Eom, J. Kim, C. Park. Optimal DNN architecture search using Bayesian Optimization Hyperband for arrhythmia detection. IEEE Wireless Power Transfer Conference (WPTC), 2020. IF=0.7
[7] H. Yu, S. Han, C. Park. Convolutional Neural Network Model Optimization for Single Channel Sleep Electroencephalogram Analysis. IEIE Conference, 2020.
[8] H. Eom, S. Han, D. Lee, K. Park, C. Park. Blood Pressure Estimation Using Deep Learning based on Attention Mechanism. u-Healthcare 2019, Seoul, 2019.
[9] S. Baek, S. Han, J. Lee, W. Lee, C. Park. Arrhythmia Classification Using 1D-2D Conversion. u-Healthcare 2019, Seoul, 2019.
[10] H. Eom, S. Han, D. Lee, K. Park, C. Park. Systolic Blood pressure estimation based on CNN-BiGRU using Attention mechanism. Korean Society of Medical and Biological Engineering Conference, Incheon, 2019.
[11] S. Han, H. Eom, C. Park. Classification of Heart Arrhythmia using End-to-End Deep Learning. Korean Society of Medical and Biological Engineering Conference, Incheon, 2019.
[12] H. Eom, S. Han, D. Lee, K. Park, C. Park. Blood Pressure Estimation Based on Convolutional Neural Network using ECG, PPG and BCG. IEEE International Engineering in Medicine and Biology Conference (EMBC), Germany, 2019.
[13] H. Eom, S. Han, K. Park, C. Park. Data-Driven End-to-End Deep Learning Architecture for Long-Term Blood Pressure Estimation. IEEE International Engineering in Medicine and Biology Conference (EMBC), Germany, 2019.
[14] H. Eom, S. Han, K. Park, D. Lee, C. Park. Deep Learning-Based Blood Pressure Estimation Using ECG, PPG, and BCG. Korean Society of Medical and Biological Engineering Conference, Yeosu, 2019.
[15] S. Han, H. Eom, T. Cho, K. Park, C. Park. Reinforcement Learning Algorithm for Blood Pressure Estimation using ECG and PPG Signals. Korean Society of Medical and Biological Engineering Conference, Yeosu, 2019.
[16] S. Han, H. Eom, K. Park, D. Lee, C. Park. Continuous Estimation of Blood Pressure using ECG and PPG based Deep learning. Korean Institute of Communications and Information Sciences Conference, Kangwon-do, 2019.
Patents
[1] S. Nam. Y. Park, H. Kim, S. Choi, K. Cho, S. Han. System for video remote management and supervision of online test. KR Patent 10-2321-9170000, 2021.
[2] C. Park, H. Yu, M. Cho, S. Han. Wearable device and method for determining concentration degree of user KR Patent 10-2231-9790000, 2021.
[3] C. Park, H. Yu, M. Cho, S. Han. Method and apparatus for generating random prime. KR Patent 10-2217-9280000, 2021.
[4] C. Park, H. Eom, S. Han, Y.S. Hariyani. Apparatus and method for estimating user’s blood pressure. KR Patent App. 10-2019-0179386, 2019.
Preprints
[1] S. Han, G. Hong, J. Kim, J. Yu, S. Lee, B. Cho, J. Jeon, Optimal feature selection for firewall log analysis using Machine learning and Hybrid Metaheuristic algorithms. Engineering Archive, 2024.
[2] S. Han. TorchAct, collection of activation function for PyTorch. Engineering Archive, https://github.com/kaintels/torchact , 2023.
Invited talk
[1] S. Han. Fundamentals of Machine Learning and Evolutionary Computing. Team Mad for Speed, 2020
Media Coverages
Year | Title | Press |
---|---|---|
2021.12 | KISA, 사이버보안 AI·빅데이터 활용 경진대회 성과 공유회 및 시상식 개최 | 아이티데일리 외 다수 언론사 |
2021.06 | 21.06.17 클로즈업 기업현장 | 팍스경제TV |