Changjong Kim (Fall 2024 ~

Lab Manager

M.S degree from our lab (2022~2024)

• Previously Worked at TmaxData as DBMS engineer

E-mail: changjong5238@seoultech.ac.kr  

Research Interests: HPC, Database System(Oracle, MySQL, PostgreSQL, Storage engine), SQL query processing and hints, Cloud System, Quantum Simulation

Publications:

• Toward Performance Prediction in Large-Scale Systems through Temporal System and Application Log Analysis (IPDPS 2025, BK21 IF:2, Poster)

• SWIFTN: Accelerating Quantum Circuit Simulation Through Tensor Optimization (CCgird 2025, BK21 IF: 1)

• Improving performance of real-time object detection in edge device through concurrent multi-frame processing (IEEE ACCESS, SCIe, JCR 33.6%)

• Investigating the Effects of SQL Hints on Diverse Storage Devices through Empirical Analysis (Cluster Computing, SCIe JCR Q1)

• Enhancing Cloud Security for IoHT: A Dual-Layer Scheme Combining Quantum Key Distribution and Post-Quantum Cryptography (MobiSec 2024)

• A2FL: Autonomous and Adaptive File Layout in HPC through Real-time Access Pattern Analysis (IPDPS, BK21 IF: 2)

• Empowering Cyberattack Identification in IoHT Networks with Neighborhood Component-based Improvised Long Short-Term Memory (IEEE Internet of Things Journal, SCIe, JCR Top 3%)

• Optimizing Logging and Monitoring in Heterogeneous Cloud Environments for IoT and Edge Applications (IEEE Internet of Things Journal 2023, SCIe, JCR Top 3%)

• Towards Access Pattern Prediction for Big Data Applications (ICTC 2022)

Juyeong Park (Spring 2025 ~)

Part Time Student

Current Affiliation: Hyperconnect (Data Analytics Engineer)

• Previously Worked at Kakao, Kakao Enterprise, Samsung Electronics as Bigdata Engineer

E-mail: pjy953@gmail.com

Research Interests: Big Data, HPC, Datacenter Scheduling, Energy efficient computing

Sangmyung Lee (Fall 2023 ~

E-mail: enjxz97382@seoultech.ac.kr

Research Interests: LSM-Tree, RocksDB, ZNS SSD, Performance Modeling

Publications:

• AS2: Adaptive Sorting Algorithm Selection for Heterogeneous Workloads and Systems (Future Coputer Generation Systems, SCIe, JCR 9.4%) 

• Analysis of Numerous Security Algorithm Performance with Data Encryption on Edge Device  (MobiSec 2024)

• Analyzing I/O Characteristics of Time-Series Data Using High Performance Storage Devices (IEEE ACCESS, SCIe, JCR 33.6%)

Funds granted:

석사과정생연구장려금지원사업 (2024-1, 총 600개 선정)

• ZNS SSD를 활용한 응용의 접근패턴 기반 데이터 처리 성능 최적화 (RS-2024-00351469)

Ehan Sohn (Spring 2024 ~

E-mail: ehanjsohn@seoultech.ac.kr

Research Interests: HPC, Datacenter, System Analysis

Publications:

• Toward Performance Prediction in Large-Scale Systems through Temporal System and Application Log Analysis (IPDPS 2025, BK21 IF: 2, Poster)

• Analysis of Numerous Security Algorithm Performance with Data Encryption on Edge Device  (MobiSec 2024) 

Funds granted:

석사과정생연구장려금지원사업 (2024-2, 총 750개 선정)

• 인공지능을 활용한 로그분석 기반 고성능 컴퓨팅 시스템 전력 예측 및 최적화