Research Interests area

• Database System

• High-Performance Computing (HPC)

• File and Storage System

• Parallel and Distributed System

• Edge and Cloud Computing

• Operating System

• Quantum Simulation Optimization

Education

• Ph.D. in Computer Science and Engineering, Seoul National University of Science and Technology (Seoultech) (2024.09 - ing.)

• M.S. in Computer Science and Engineering, Seoul National University of Science and Technology (Seoultech) (2022.09 - 2024.08)

  • Master Thesis 

    • Effective Logging and Monitoring Scheme in Heterogeneous Cloud Environments.

    • 이기종 클라우드 환경을 위한 효과적인 로깅 및 모니터링 체계.

    • Advisor: Prof. Sunggon Kim

• B.S. in Electrical Engineering, Myongji College (2013.03 - 2020.02) 

*Including bachelor's degree program 

Experience

• TmaxData (2020.11 ~ 2022.07)

  • Managed all aspects of release cycles, including major, minor, and hotfix versions, while maintaining a detailed revision history for BI solution products.

  • Spearheaded the setup and management of Hadoop Clustering and Hive BI & RDB environments within a Kubernetes infrastructure.

  • Administered database environments for Tibero, Oracle, MySQL, Sybase IQ, and Sybase ASE.

  • Resolved Repository DB (Tibero) infrastructure issues, ensuring efficient data preprocessing workflows.

  • Optimized queries for data preprocessing to improve overall system performance.

  • Conducted extensive load testing on web applications using Jmeter, simulating multiple sessions to identify and address bottlenecks.

  • Managed DB patching and revision control, including schema history validation, to ensure smooth system updates and compatibility.

Publications

2024

[11] TSALA: Improving Performance Prediction in Large-Scale Systems through Temporal System and Application Log Analysis   (Under review / IPDPS'25)

[10] SWIFTN: Accelerating Quantum Circuit Simulation through Tensor Optimization  (Under review / IPDPS'25)

[9] Improving Performance of Real-Time Object Detection in Edge Device through Concurrent Multi-Frame Processing (Major revision / IEEE Access)

[8] ScaleRDB: A Scalable Relational Database for Manycores  (Under review / Eurosys'25)

[7] IoHTSecure: Federated Learning with Ensemble Framework for Imbalanced IoHT Cyberattack Detection and Authentication in Smart Healthcare (under review / TDSC)

[6] Enhancing Cloud Security for IoHT: A Dual-Layer Scheme Combining Quantum Key Distribution and Post-Quantum Cryptography 

• Changjong Kim, Seunghwan Kim and Sunggon Kim*

• [International Conference] MobiSec 2024

• Supported by RS-2024-00437252 (이동통신 AirGap 환경에서 스니핑 방지 기술 개발, IITP)

• December 17-19 2024, Sapporo, Japan, Corresponding author: Sunggon Kim

[5] Investigating the Effects of SQL Hints on Diverse Storage Devices through Empirical Analysis

• Changjong Kim, Yongseok Son and Sunggon Kim*

• [SCIE, IF: 3.6, JCR 19.9%] Cluster Computing

• Accepted For Publication, Corresponding author: Sunggon Kim

[4] A2FL: Autonomous and Adaptive File Layout in HPC through Real-time Access Pattern Analysis

• • Dong Kyu Sung, Yongseok Son, Alex Sim, Kesheng Wu, Suren Byna, Houjun Tang, Hyeonsang Eom, Changjong Kim, Sunggon Kim*

  • [BK21 Conference, IF: 2] 38th IEEE International Parallel & Distributed Processing Symposium (IPDPS'24)

  • San Francisco, USA, May 27-31, 2024, Corresponding author: Sunggon Kim

[3] Empowering Cyberattack Identification in IoHT Networks with Neighborhood Component-based Improvised Long Short-Term Memory

• • Manish Kumar, Changjong Kim, Yongseok Son, Sushil Kumar Singh, Sunggon Kim*

  • [SCIE, IF: 10.6, JCR 2.2%] IEEE Internet of Things Journal

  • Accepted for Publication, Corresponding author: Sunggon Kim (Supported by Seoultech)

2023

[2] Optimizing Logging and Monitoring in Heterogeneous Cloud Environments for IoT and Edge Applications   

• • Changjong Kim, Sunggon Kim*

  • [SCIE, IF: 10.6, JCR Top 3%] IEEE Internet of Things Journal]

  • Accepted for Publication [Paper Link]

[1] Towards Access Pattern Prediction for Big Data Applications.

• • Changjong Kim, Yongseok Son, Sunggon Kim*

  • In Proceedings of International Conference on ICT Convergence (ICTC'22)

  • Jeju, Oct 19-21, 2022 [Paper Link]

Project

• Bigdata and HPC lab (Seoultech)

1) Research on the Structural Improvement of High-Performance Parallel Processing Systems (2022.09 - 2022.11)

- Supreme Prosecutor's Office

• TmaxData (2020.11 ~ 2022.07) 

1) BI product GS certification acquisition (2021.11 - 2022.01)

- Optimize flow queries within the data preprocessing functionality.

- RepoDB optimization and query engine improvement (Tibero).

2) IBK POC Major/Minor/Hotfix releases (2022.04 - 2022.07)

- Optimize flow queries within the data preprocessing functionality.

- RepoDB optimization and query engine improvement (Tibero).

- Product optimization efforts due to the addition of Apache Hive.

- Implementation of virtualization processing through Virtual Database.