Ju Young Ha

Master's Student

Researching time-series foundation models, forecasting, and anomaly detection at POSTECH, Department of Industrial and Management Engineering.

About

I am a Master's student at POSTECH (Pohang University of Science and Technology), Department of Industrial and Management Engineering, working in Professor Young-Myoung Ko's Large-scale Stochastic Systems Laboratory.

My primary research interests are Time-Series Foundation Models, Forecasting, and Anomaly Detection. I am developing demand forecasting methodologies through research on hybrid models that combine decomposition techniques with deep learning.

Experience

2024.09 — Present

Research Assistant · POSTECH

Designing and implementing AI solutions based on LG Electronics' MLOps platform (MELLERIKAT). Advised by Prof. Young-Myoung Ko.

  • MLOps
  • AI Solution
  • Deep Learning
2023.06 — 2024.01

Data Science Researcher · Impactive AI

Internship focusing on data science research and development.

  • Data Science
  • AI
  • Research
2022.12 — 2023.06

Research Assistant · T-Lab, HGU

Research on advanced time-series forecasting model methodologies. Advised by Prof. Doohee Chung.

  • Time-Series
  • Forecasting
  • Deep Learning
2022.09 — 2023.01

Research Assistant · LINC 3.0

National Research Foundation funded research. Korean food overseas market demand forecasting modeling.

  • Demand Forecasting
  • Market Analysis
2024.03 — 2024.06

Teaching Assistant · HGU

Teaching assistant for Big Data Analysis course.

  • Big Data
  • Teaching

Publications

2025

Methodology for Advanced Time Series Demand Forecasting: A Hybrid Model of Decomposition and Deep Learning

Juyoung Ha, Sungwon Lee, Sooyeon Jung, Doohee Chung

Intelligent Systems With Applications

Accepted
2023

The Impact of ESG Management on the Fintech Industry: Focused on the Case of KakaoPay's Inclusion in the MSCI Index

Hanjin Lee, Juyoung Ha, Gaeun Son, Subin Kim, Donghyun Yoon

Journal of Korea IT Services, 22(4), 171-184

KCI
2022

The Impact of Introducing Autonomous Buses Based on Demand Response Transport (DRT) in Pohang City

Sungkyung Kim, Jeongho Kim, Sunghee Park, Youngseo Lee, Juyoung Ha

Proceedings of the Regular Conference of the Korea Management Information Society

Oral Presentation
2023

Hybrid Model Method and Apparatus for Product Demand Forecasting Using Decomposition Techniques and Machine Learning

Application Number: 10-2023-0142372

Korean Patent

Awards & Honors

2025
2025 KIAT Director Award · 2025 Industry-Academia Project Challenge
2025
Innovation Award · FACTORY HACK KOREA 2025
2023
Bronze Prize · Korea Digital Contents Society College Student Paper Competition

Skills

Education

POSTECH (Pohang University of Science and Technology)

M.S. in Industrial and Management Engineering

2024.08 - Present

Advisor: Prof. Young-Myoung Ko

Handong Global University

B.S. in AI Convergence & Entrepreneurship Management (Double Major)

2018.03 - 2024.08

GPA: 4.13/4.5 (Major: 4.31/4.5)

Technical Skills

PythonRData AnalysisMachine LearningDeep LearningTime-Series AnalysisMLOps

Certifications

SQLD (SQL Developer)2025.09
ADsP (Advanced Data Semi-Professional)2023.09
Data Science Certificate for Management and EconomicsSpecialized Track
TOEIC: 875/990English Proficiency