M.S. Student · Software Platforms Lab, Hanyang University

Junmo Seong

Storage Systems Researcher

Advancing storage technology through SSD, ZNS SSD, and FEMU research, with a focus on the Linux kernel I/O stack

4

Publications

2

IEEE ICFEC 2026

4

FEMU PRs Merged

2

Semesters as OS TA

About

Research Focus

As a Master's student at Hanyang University's Software Platforms Lab, I'm dedicated to solving the next generation of storage system challenges.

My research bridges the gap between hardware innovation and software optimization, exploring how ZNS SSDs and advanced emulation techniques can revolutionize data-intensive applications and system performance.

Research

Publications

Peer-reviewed contributions to storage systems and SSD technology

International2026

Lifetime-Aware Zone Allocation for ZNS SSDs

Jinyoung Kim, Doeun Kim, Junmo Seong, Hyuck Han, Sooyong Kang

IEEE International Conference on Fog and Edge Computing (ICFEC)

International2026

Practical Monitoring Tool for ZNS SSD Emulator

Junmo Seong, Doeun Kim, Hyuck Han, Sooyong Kang

IEEE International Conference on Fog and Edge Computing (ICFEC)

Background

Education & Experience

Academic background and professional journey

Education

Mar. 2025 – Present

M.S. Computer Science

Hanyang University

  • Research Focus: Storage Systems, SSD, ZNS SSD
  • Lab: Software Platforms Lab

Mar. 2021 – Feb. 2025

B.S. Computer Science

Hanyang University

  • GPA: 4.1/4.5
Experience

Spring 2025 & Spring 2026

Teaching Assistant

Operating Systems · Hanyang University

  • Served as course TA for two consecutive spring semesters (2025, 2026)
  • Migrated xv6 teaching materials from x86 to RISC-V architecture, aligning with MIT's current version
  • Developed new course materials and updated curriculum content for modern systems

Sep. 2023 – Feb. 2025

Research Intern

Software Platforms Lab · Hanyang University, Seoul, Korea

  • Conducted research in Multi-core Programming and Parallel Computing with focus on Processing-in-Memory (PIM) architecture
  • Contributed to research on highly parallel regular expression matching, developing multi-threaded CPU and CUDA implementations for performance analysis (published in IEEE Access 2025)
  • Developed and analyzed DBSCAN algorithm performance using UPMEM PIM architecture, resulting in published research paper
Work

Projects & Open Source

Technical implementations and open-source contributions

Software Platforms Lab Website

Developed and deployed the official research lab website using Next.js framework with modern responsive design

Next.jsTailwind CSSPostgreSQLPrisma

ICFEC 2026 Conference Website

Built conference website for IEEE International Conference on Fog and Edge Computing using Next.js

Next.jsTailwind CSS

FEMU - Flash-based NVMe SSD Emulator

Contributed multiple merged pull requests to the open source SSD emulator, including TRIM support for the Dataset Management command in BBSSD

Expertise

Skills

Technical competencies and tools

Languages

CC++PythonJavascriptTypescript

Storage

FEMULinux kernel I/O stack (VFS, F2FS, block layer, NVMe driver)ZenFSRocksDBnvme-clif2fs-tools

Benchmark

fxmarkdbbenchYCSBFio

Web

Node.jsReact.jsNext.jsTailwind CSSeslint

Tools

GitFigma