Junseong Park

박준성
AI Researcher / Developer
Hanbat National University · Incoming M.S. Student (Sep 2026)

Pursuing an M.S. in Information and Communication Engineering at Hanbat National University (AiRLab), with research interests in Deep Learning, Computer Vision, and LLMs.

Contact
Education
  • M.S. in Information and Communication Engineering
    Hanbat National University
    2026.09 - Present
  • B.S. in Electronics Engineering
    Hanbat National University
    2020.03 - 2026.02
    Major GPA 4.2 / 4.5 · Overall GPA 4.18 / 4.5
    Double Major: DSC Shared University, Advanced Sensor Convergence Devices
Research Deep Learning Computer Vision LLM Multimodal VLM VLA

Education & Training

  • AI Developer Trainee - AI Track, Cohort 8
    KT AIVLE School / KT Pangyo Office
    • Completed a 6-month (840-hour) AI developer boot camp
    • Covered Analytical AI (ML, DL), Generative AI (prompt engineering, language & image models), Cloud (IT Infra, Cloud Native), and Service Development (SW, Web, frameworks)
    • Completed five mini-projects and a Bigproject (PIILOT - AI-based PII Protection Platform)

Research Experience

  • EEG-based Image Generation Research
    Hanbat National University (AiRLab) / ETRI
    • Brain-to-Image research: reconstructing mental imagery from EEG (brainwave) signals
    • Research areas: Deep Learning, Computer Vision, LLM
  • Military-Civilian Dual-Use Edge-AI Real-time Threat Context Assessment and Fixed/Mobile Reconnaissance Sensor Platform Development
    Hanbat National University (AiRLab) / (주)에스엔, (주)제이엔디
    • Full-stack development of the RGB-IR multimodal fusion, spatio-temporal abnormal behavior recognition, sLLM-based threat reasoning, and Edge-AI optimization pipeline for fixed and mobile (robot/vehicle) platforms
    • Research areas: Deep Learning, Computer Vision, Multimodal Fusion, LLM, Edge AI
  • Time-Varying Environment-Robust AAM Image-to-Spatial Matching & Localization PoC Module
    Hanbat National University (AiRLab) / ETRI
    • AI-based feature matching and multi-sensor fusion (VIO/EKF/FGO) for AAM (Advanced Air Mobility) localization robust to time-varying, GNSS-denied environments, using 3D building and spatial information
    • Research areas: Computer Vision, Deep Learning, SLAM, Sensor Fusion
  • Undergraduate Researcher
    Hanbat National University (AiRLab)
    • Computer Vision: paper seminars on Classification and Detection, data collection, model training and testing (research support)
    • Robotics: ROS2 learning, camera and LiDAR calibration, data acquisition, field trips (research support)

Teaching Experience

  • Teaching Assistant - Introduction to Engineering Design (공학설계입문)
    Hanbat National University / Dept. of Information and Communication Engineering
    • Supported students with Q&A and hands-on lab practice; proctored exams
  • Teaching Assistant - Physics and Experiment I (대학물리학 및 실험 I)
    Hanbat National University / Dept. of Basic Sciences
    • Supported both basic and advanced sections of physics lab students with Q&A; proctored exams
    • Led problem-solving sessions and Q&A for students who failed the quiz
Languages
PythonCC++
AI / ML
PyTorchHuggingFaceTensorRT
Backend
Spring BootPostgreSQL
Tools
DockerGitHubLinuxROS2Figma