cv

Basics

Name Jeonghoon Park
Label Undergraduate Student
Email hoonably@unist.ac.kr
Url https://hoonably.github.io
Summary Undergraduate student at UNIST, researching at UAI Lab.

Education

  • 2020.03 - Present

    Ulsan, Korea

    Bachelor of Science
    Ulsan National Institute of Science and Technology (UNIST)
    Computer Science and Engineering
    • Member of EarthCops (Soccer Club)

Work

  • 2025.01 - Present
    Undergraduate Research Intern
    Ubiquitous AI Lab (UAI Lab)
    Research on On-Device AI, Human-Centered AI, and Adaptive & Personalized AI.
    • Supervisor: Prof. Taesik Gong
    • Presented academic papers in English
    • Researching compute-efficient techniques for on-device AI
  • 2021.07 - 2024.07
    Math Instructor
    Topmath
    Taught math to students aged 14-19 with personalized instruction.
    • Primary (non-part-time) instructor
    • Taught 30+ students with personalized instruction
    • Tracked and improved student outcomes

Awards

Languages

Korean
Native speaker
English
Intermediate

Interests

Computer Science
Computer Architecture
Artificial Intelligence
On-device AI
Personalized AI
Hobby
Piano
Soccer
Cycle

References

Professor Taesik Gong
Jeonghoon is our intern.
Student Jaemin Kim
Jeonghoon is funny.

Projects

  • 25.03.04 - 25.06.19
    Pintos Project
    Implemented core OS components based on Stanford’s Pintos project: thread scheduling, system calls, user programs, virtual memory (demand paging, swapping, mmap), and extensible file system with indexed allocation. Gained deep insight into OS internals through hands-on implementation.
    • Thread scheduling and priority donation
    • Demand paging and mmap
    • File system with indexed allocation
  • 25.04.20 - 25.06.10
    Traveling Salesman Problem (TSP) Solver
    Implemented and analyzed classical TSP algorithms (Held-Karp, MST, Greedy, 2-opt) alongside a novel MCMF-based heuristic combining global flow and local refinement. Evaluated solution quality and runtime across diverse datasets.
    • Held-Karp, MST, 2-opt, and MCMF heuristic
    • Performance comparison and analysis
  • 25.03.27 - 25.04.15
    Sorting Algorithm Analysis
    Implemented and benchmarked 12 sorting algorithms under various input types and data conditions, analyzing performance, stability, and memory usage.
    • Benchmarking of 12 sorting algorithms
    • Analysis on stability and memory usage
  • 25.01.02 - 25.02.28
    TinyLLM - UAI Lab
    Investigated lightweight LLMs for on-device use. Evaluated accuracy and inference time of each model through various evaluation sets, exploring the tradeoffs in size, latency, and performance.
    • Evaluation of small LLMs in constrained environments
    • Trade-off analysis for on-device use cases

Teaching