Graph Neural Networks
Dongjun Kim
AI/BigData Research Engineer
Seocho, Seoul
Summary
Organized and dependable candidate successful at managing multiple priorities with a positive attitude. Willingness to take on added responsibilities to meet team goals.
Overview
9
9
years of post-secondary education
4
4
Certifications
2
2
Languages
Work History
Senior Research Engineer
LG Display AI/Big Data Analysis Team
09.2023 - Current
- Developed and performed validation and testing of time-series models to support adequacy and suitability.
- Identified improvement opportunities and directed strategies for site implementation.
- Improved algorithm performance to indicate about problematic processes and equipments to engineers.
Education
Master of Science -
09.2021 - 08.2023
- Advisor: Prof. Eenjun Hwang
- GPA: 4.22/4.50
Bachelor of Science - undefined
09.2020 - 08.2021
GPA: 3.88/4.50
Bachelor of Science - Architectural Engineering
03.2015 - 08.2021
GPA: 3.51/4.50
Skills
Python Programming Proficiency
Additional Information
- High interest in current affairs (Politics, Society, Economics)
- Wide knowledge in physics and natural phenomenon
- Hobbies: Driving, Racing games, F1, WRC, Soccer, Weight training
- 20 countries traveled and ongoing
- 1.5 years of experience living in Maryland, US
Interests
Time-Series Prediction
Artificial Intelligence
Certification
New TEPS 452
Patents
DEEP LEARNING MODEL-BASED DEVICE FOR PREDICTING EFFICIENCY OF SOLAR POWER GENERATION AND METHOD THEREOF, 10-2022-0182415, 12/23/2022
Awards
- KIISE 2022 Korea Software Congress – Best Paper Award, 12/2022
- KIISE 2022 Korea Computer Congress – Best Paper Award, 07/2022
Skills And Techniques
- Python
- Machine Learning
- Deep Learning
- Statistical Analysis
- MATLAB
- Microsoft Office (Word, Excel, and PowerPoint)
Publications
- Graph Construction Method for GNN-Based Multivariate Time-Series Forecasting, Computers, Materials & Continua, Vol. 75, No. 3, pp. 5817-5836, 04/2023
- Zero-Shot Photovoltaic Power Forecasting Scheme based on a Deep Learning Model and Correlation Coefficient, International Journal of Energy Research, vol. 2023, Article ID 9936542, 12/2023
- Multi-Scale Dynamic Graph Neural Network for Multivariate Time-Series Forecasting, Under Review, 2023
- Zero-Shot Solar Power Efficiency Prediction Scheme Considering PCC-Based Climate Similarity, Journal of KIISE, Vol. 50, No. 7, pp. 581-587, 07/2023
- Machine Learning-Based Solar Power Efficiency Prediction Scheme Considering PM10 Fine-Dust Data, KIISE 2021 Korea Software Congress, pp. 272-274, 12/2021
- DNN-Based Zero-Shot Solar Power Efficiency Prediction Scheme Considering Region-wise Climate Similarity, KIISE 2022 Korea Computer Congress, pp. 317-319, 07/2022
- Energy Storage Operation Algorithm Based on ESS–P2G, KIISE 2022 Korea Software Congress, pp. 306-308, 12/2022
- Photovoltaic Power Forecasting Method using Transfer Learning-based Deep Neural Network, 2022 The Spring Conference of Korea Multimedia Society, 05/2022
- Photovoltaic Power Forecasting Scheme based on Transfer Learning with Weight Pruning, KIISE Korea Database Conference 2022, 11/2022
Projects
- (09/2021 - 08/2023) Development of deep learning-based probabilistic energy forecasting model and simulation for open microgrid platform, National Research Foundation of Korea
- (04/2022 - 03/2023) Development of artificial intelligence species identification system for invasive species monitoring through wild animal sounds, Korea Environmental Industry & Technology Institute
- (11/2021 - 01/2022) BK21 Fellowship Scholarship Program (Machine learning-based graduation prediction and analysis), Korea University Office of Digital Information
- (06/2022 - 09/2022) BK21 Fellowship Scholarship Program (AI customized thesis recommendation service for graduate students), Korea University Office of Digital Information
- (09/2020 - 12/2020) Amazon Forest Fire Prediction based-on NASA MODIS & Google Geocoding Data, In Class Project.
Graduate Class
- Advanced Pattern Recognition
- DBMS Application
- Multi-Scale Data Mining
- Introduction to Cloud Computing
- Multimedia Computing
- Information Theory
- Advanced Algorithm
Interdisciplinary Major
- Applications of Mathematical Software
- Introduction to Brain and Machine Learning
- Machine Learning
- Deep Learning
- Artificial Intelligence
- Pattern Recognition
- Computer Vision
- Biomedical Signals and Systems
- Probability and Random Processes
- Data Structure
- Computer Architecture
- Data Mining
- Numerial Analysis
- Introduction to Database
Undergraduate Class
- Fundamentals of Data Science
- Calculus With Lab I, II
- General Physics I, II
- General Chemistry I
- Advanced Engineering Mathematics I, II
- Fluid Mechanics and Lab
- Structural Mechanics I
- Strength of Materials
- Engineering Mechanics
- Introduction to Linear Algebra
- Building Environmental Design and Technology
- Computer Languages Lab
- Building Energy Modeling and Analysis
References
Prof. Eenjun Hwang, Ph.D., Multimedia Information Laboratory, School of Electrical Engineering, Korea University, Seoul, South Korea, +82-2-3290-3256, ehwang04@korea.ac.kr
Timeline
New TEPS 452
01-2024
Senior Research Engineer - LG Display AI/Big Data Analysis Team
09.2023 - Current
TOEIC 935
03-2023
OPIc Advanced Low(AL)
08-2022
AWS Certified Cloud Practitioner
06-2022
School of Electrical Engineering, Korea University - Master of Science,
09.2021 - 08.2023
Interdisciplinary Major in Artificial Intelligence, College of Informatics, Korea University - Bachelor of Science,
09.2020 - 08.2021
School of Civil, Environmental And Architectural Engineering, Korea University - Bachelor of Science, Architectural Engineering
03.2015 - 08.2021
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