Changjong Kim (Fall 2024 ~

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

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

• 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)

Sangmyung Lee (Fall 2023 ~

Lab Manager

E-mail: enjxz97382@seoultech.ac.kr

Research Interests: Time Series Database, 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

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

Seunghwan Kim

E-mail: rlatmdghkss@seoultech.ac.kr 

Research Interests: HPC, Quantum Simulation, AI, Edge Device Performance (Mainly inference in Edge devices), Performance Optimization

Publications

2024

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

Soeun Kim

E-mail: ybbsoen1230@naver.com

Research Interests: HPC, Datacenter, Cloud Computing, Performance Modeling

Publications

2024

• Efficient I/O Performance-Focused Scheduling in High-Performance Computing (MDPI Applied Sciences)

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

Manish Kumar (Post-Doc, 2022.10 ~ 2024.10)

Current Position: Assistant Professor @ Marwadi University

Publications with BigData and HPC Lab

• Augmented Access Pattern-based I/O Performance Prediction using Directed Acyclic Graph Regression (Cluster Computing, 2024, SCIe)

• Secure IoHT: Embedded Federated Learning-Driven Long Short-Term Memory for Cyberattack Detection (MDPI Electronics, 2024, SCIe)

• Predictive Analytics for Mortality: FSRNCA-FLANN Modeling Using Public Health Inventory Records. (IEEE Access, 2024, SCIe)

• Empowering Cyberattack Identification in IoHT Networks with Neighborhood Component-based Improvised Long Short-Term Memory (IEEE Internet of Things Journal, 2024, SCIe, JCR Top 3%)

• A Hybrid Model based on Convolution Neural Network and Long Short-Term Memory for Qualitative Assessment of Permeable and Porous Concrete (Case Studies in Construction Materials, 2023, SCIe)

Changjong Kim (M.S, 2022.09~2024.06)

Current Position: Ph.D Student @ SeoulTech (BigData and HPC lab)

Publications with BigData and HPC Lab

• A2FL: Autonomous and Adaptive File Layout in HPC through Real-time Access Pattern Analysis (IPDPS, 2024, BK21 IF: 2)

• Empowering Cyberattack Identification in IoHT Networks with Neighborhood Component-based Improvised Long Short-Term Memory (IEEE Internet of Things Journal, 2024, 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)