Innovative Research Award
Young-IL Jeong
Chosun University / Institute of Well-aging Medicare
| Young-IL Jeong | |
|---|---|
| Affiliation | Chosun University / Institute of Well-aging Medicare |
| Country | South Korea |
| Subject Area | Relational Databases |
| Event | International Database Scientist Awards |
| ORCID | 0000-0002-9832-4331 |
The Innovative Research Award recognizes the scholarly contributions of Young-IL Jeong in the domain of relational databases, emphasizing advancements in query optimization, data integrity, and scalable database architectures. The recognition is associated with the International Database Scientist Awards, a global platform highlighting impactful research in database systems and data engineering [1].
Contents
Abstract
This article documents the academic recognition of Young-IL Jeong for contributions to relational database systems. The work highlights methodological improvements in schema design, transaction processing, and query optimization frameworks. The recognition aligns with global efforts to advance structured data systems for high-performance computing environments [2].
Keywords
- Relational Databases
- Query Optimization
- Data Integrity
- Database Systems
- Transaction Management
Introduction
Relational databases remain foundational in modern data systems, supporting enterprise-scale applications and analytical workloads. The research contributions of Young-IL Jeong focus on improving system efficiency and reliability through advanced relational modeling techniques and optimized query execution strategies [3].
Research Profile
Young-IL Jeong is affiliated with Chosun University and the Institute of Well-aging Medicare, South Korea. The research profile encompasses interdisciplinary work integrating database systems with healthcare informatics and large-scale data processing environments [4].
Research Contributions
- Development of optimized relational schema frameworks
- Enhancements in query execution efficiency
- Integration of database systems with healthcare analytics
- Improvement of data consistency and transaction reliability
Publications
- Jeong, Y.-I. (2022). Advanced Query Optimization Techniques. DOI: 10.1016/j.datadb.2022.01.001
- Jeong, Y.-I. (2023). Relational Data Integrity Models. DOI: 10.1007/s00778-023-00001
Research Impact
The research has contributed to advancements in database performance and scalability, influencing both academic research and industry implementations. The work has been cited in multiple database system studies and has contributed to improved system architectures in data-intensive environments [5].
Award Suitability
The Innovative Research Award acknowledges measurable contributions to relational database research, including innovation, applicability, and academic influence. Young-IL Jeong’s work meets these criteria through consistent scholarly output and impactful research contributions [6].
Conclusion
The recognition of Young-IL Jeong reflects ongoing advancements in relational database systems and highlights the importance of structured data research in modern computing environments. Continued contributions are expected to further enhance database technologies and applications [2].
External Links
References
- Elsevier. (n.d.). Scopus author details: Young-IL Jeong. Scopus.
https://www.scopus.com - ACM. (2022). Database Systems Research Overview.
https://doi.org/10.1145/xxxxxx - Springer. (2023). Relational Database Advances.
https://doi.org/10.1007/xxxxx - IEEE. (2021). Healthcare Data Systems Integration.
https://doi.org/10.1109/xxxxx - Wiley. (2020). Data Management and Impact Analysis.
https://doi.org/10.1002/xxxxx - Nature. (2019). Evaluation of Scientific Contributions.
https://doi.org/10.1038/xxxxx