Data Science Laboratory
| Principal Researcher | Gyuwon Song |
|---|---|
| Website | https://www.bigdata.re.kr |
| Tel | +82-31-888-9410 |
| gyuwon.song@snu.ac.kr |
Research Areas
- Data science laboratory conducts convergence research to derive useful knowledge and insights from Big data. We study cutting-edge methodologies not only machine learning and statistical techniques but data engineering to efficiently collect and process large-scale data.
keyword
- Big Data
- Digital Transformation
- Edge Computing
- Anomaly Detection
- Blockchain
Objective
- To discover brand-new value and insights and solve complex social problems through big data analytics
- To develop high-performance and high-efficiency computing methodologies for big data analysis.
- To develop technology to ensuring digital sovereignty for a fair Internet information network.
Contents of research
- Digital Transformation: A technology that digitizes all daily life and industries based on Data, Networks, and AI.
- Edge Computing: A technology that significantly improves performance by processing at the edge of the device where the data is generated.
- Anomaly Detection: A technology that finds data that does not conform to the characteristics generally expected in a specific domain based on machine learning.
- Blockchain: A technology that can manage information transparently and safely based on distributed ledger technology to overcome the limitations of existing centralized systems.
Result & Expected effect
- Enhancing a data-driven innovation, and establishing a systematic basis for utilizing big data analysis
- Scientifically solve upcoming social problems and digital transformation for the complex society
