Ph.D Student
Changjong Kim (Fall 2024 ~
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:
2025
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)
2024
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%)
2023
Optimizing Logging and Monitoring in Heterogeneous Cloud Environments for IoT and Edge Applications (IEEE Internet of Things Journal, SCIe, JCR Top 3%)
2022
Towards Access Pattern Prediction for Big Data Applications (ICTC 2022)
Juyeong Park (Fall 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: LSM-Tree, RocksDB, ZNS SSD, Performance Modeling
M.S Student
Sangmyung Lee (Fall 2023 ~
Lab Manager
E-mail: enjxz97382@seoultech.ac.kr
Research Interests: LSM-Tree, RocksDB, ZNS SSD, Performance Modeling
Publications:
2024
Analysis of Numerous Security Algorithm Performance with Data Encryption on Edge Device (MobiSec 2024)
2023
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:
2025
Toward Performance Prediction in Large-Scale Systems through Temporal System and Application Log Analysis (IPDPS 2025, BK21 IF: 2, Poster)
2024
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
Undergrad Student
Seunghwan Kim
E-mail: rlatmdghkss@seoultech.ac.kr
Research Interests: HPC, AI, Edge Device, Quantum Simulation, 5G RAN, Performance Optimization
Internship: Climate and Environmental Research Institute at KIST (2025.03 ~ 2025.08)
Publications:
2025
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%)
2024
Enhancing Cloud Security for IoHT: A Dual-Layer Scheme Combining Quantum Key Distribution and Post-Quantum Cryptography (MobiSec 2024)