Biography

I am currently a Ph.D. candidate with the Department of mechanical and information engineering and the Department of Smart Cities, University of Seoul, Korea. My research interests include on-device deep learning, prognostics and health management, and application-specific parallel computing.

Skills

• Programming Languages: C/C++, Python, CUDA, MATLAB, R

• Deep Learning (pyTorch) and Machine Learning (Scikit-Learn)

• Digital Signal Processing using Python or MATLAB

• Parallel Computing (NVIDIA CUDA)

• Version Control System (GIT)

Educations

• (Mar 2023 ~ Present) *Ph.D. candidate, Department of Mechanical and Information Engineering/Department of Smart Cities, University of Seoul, Seoul, Republic of Korea

• (Mar 2021 ~ Feb 2023) *Ph.D. student, Department of Mechanical and Information Engineering/Department of Smart Cities, University of Seoul, Seoul, Republic of Korea

• (Sep 2019 ~ Dec 2020) *M.S student, Department of Mechanical and Information Engineering,
  University of Seoul, Seoul, Republic of Korea

• (Mar 2015 ~ Aug 2019) B.S student, Department of Mechanical and Information Engineering,
  University of Seoul, Seoul, Republic of Korea

*I am in integrated masters and doctoral program.

Projects

My project experiences mainly include on-device AI and GPU computing.

On-Device AI

• (May 2024 ~ Apr 2025) Design and Implementation of Edge-Based Real-Time Adaptive Machine Fault Monitoring System

• (Mar 2022 ~ Feb 2025) Deep Learning-Collaborative Open-Source Intelligent Fault Diagnosis System based on Open IoT Platform and Edge Computing Environment

• (Aug 2021 ~ Jul 2022) AI-based Coffee Bean Automatic Sorting System

GPU Computing

• (June 2023 ~ Mar 2024) R-MDPS Motion Visualization System Development

• (May 2020 ~ Apr 2021) Performance Improvement of Remote Sensing Applications using CUDA GPU-based Parallelism

• (Jan 2019 ~ Dec 2019) Development of Estimation Technique of Earthquake Model parameters Through Fusion of Radar and Seismic data

ETC.

• (June 2020 ~ Dec 2020) Suggestion of plans for establishing cutting-edge control facilities using IoT technology

• (Sep 2020 ~ Feb 2021) AI Data of Agricultural Imagery

• (Mar 2020 ~ Dec 2020) Development of Portable Vibration Measurement and Analysis System

• (Jan 2018 ~ Nov 2018) Robots only All-in-One hollow actuator series development

Publications

International Journal Article

1. Seongjae Lee and Taehyoun Kim, "Impact of Deep Learning Optimizers and Hyperparameter Tuning on the Performance of Bearing Fault Diagnosis," IEEE Access, vol. 11, pp. 55046–55070, 2023, https://doi.org/10.1109/ACCESS.2023.3281910.

2. Seongjae Lee and Taehyoun Kim, "Parallel Dislocation Model Implementation for Earthquake Source Parameter Estimation on Multi-Threaded GPU," Applied Sciences, vol. 11, no. 20, p. 9434. 2021, https://doi.org/10.3390/app11209434.

3. Seongjae Lee and Taehyoun Kim, “Search Space Reduction for Determination of Earthquake Source Parameters Using PCA and k-Means Clustering,” Journal of Sensors, vol. 2020, pp. 1–12, 2020, https://doi.org/10.1155/2020/8826634.

4. Jinho Park, Taeyoung Yoo, Seongjae Lee, and Taehyoun Kim, "Urban Noise Analysis and Emergency Detection System using Lightweight End-to-End Convolutional Neural Network," International Journal of Computers Communications & Control, vol. 18, no. 5, p. 5814, 2023, https://doi.org/10.15837/ijccc.2023.5.5814.

5. Taeyoung Yoo, Seongjae Lee, and Taehyoun Kim, "Dual Image-Based CNN Ensemble Model for Waste Classification in Reverse Vending Machine," Applied Sciences, vol. 11, no. 22, p. 11051, 2021, https://doi.org/10.3390/app112211051.

Domestic Journal Article

1. Youngjun Kim, Taewan Kim, Suhyun Kim, Seongjae Lee, and Taehyoun Kim, "Lightweight On-Device AI-Based Fault Diagnosis System Using Continual Learning," IEMEK Journal of Embedded Systems and Applications, vol. vol.19, no.3, pp. 151–158, 2024.

2. Minha Lee, Seongjae Lee, and Taehyoun Kim, "Performance Evaluation of Efficient Vision Transformers on Embedded Edge Platforms," IEMEK Journal of Embedded Systems and Applications, vol. 18, no.3, pp. 89–100, 2023.

Domestic Conference

1. Youngjun Kim, Taewan Kim, Suhyun Kim, Seongjae Lee, and Taehyoun Kim, "On-Device Machine Fault Diagnosis System Using Continual Learning," Institute of Embedded Engineering of Korea Autumn Conference, pp. 56-60, Nov, 2023.

2. Seongjae Lee, Heetae Lee, and Hyunggu Jung, "Link-it!: Designing an App Managing Website Links Through a Design Thinking Process," The HCI Society of Korea, The Proceedings of HCI KOREA 2023, pp. 654–659 Feb, 2023.

3. Jaeyoung An, Taeyoung Yoo, Jihwan Yoo, Seongjae Lee, Taehyoun Kim, and Sooil Lee, "Implementation of on-site mobile vibration measurement system using digital accelerometer," The Korean Society for Noise and Vibration Engineering Autumn Conference 2020, p. 269, 2020.

Experience

• (2022, 2023) Instructor, AICOSS deep learning bootcamp, University of Seoul

• (2020–2024) Teaching Assistant, Embedded Systems and Experiment, University of Seoul

• (2021–2024) Teaching Assistant, Programming Methodolody and Practice, University of Seoul

• (2018–2020) Teaching Assistant, Digital Logic Design and Experiments, University of Seoul

Open Source Projects

Fault Diagnosis Optimizer Benchmark

Contact Me