Jihye Park

Manufacturing AI Systems Researcher & Engineer

Samsung Electronics DS Division · Digital Twin Center

From equipment data to engineering action.

I research and build AI systems for semiconductor manufacturing.

My current work connects equipment data, manufacturing knowledge, and specialist AI agents.

Current Work

What I Build Now

Manufacturing AI Copilot for Equipment Productivity

Semiconductor equipment can keep running while producing fewer wafers per hour than expected.

The Copilot connects equipment data, manuals, maintenance records, past actions, and specialist AI agents.

  1. 01

    Detect Loss

    Find where equipment productivity is falling.

  2. 02

    Find Causes

    Analyze relevant parameters and operational context.

  3. 03

    Retrieve Knowledge

    Connect manuals, maintenance records, and past actions.

  4. 04

    Recommend Actions

    Provide evidence for engineering decisions.

My role

I design the context-aware router. It understands each request and connects the right specialist agents.

Direction

Moving from decision support toward human-supervised automated action.

Career

Work Experience

Each stage added a layer: market understanding, enterprise software, and manufacturing AI.

Staff Engineer, Samsung Electronics DS Division · Digital Twin Center

September 2023 – Present

Building industrial AI systems for semiconductor manufacturing.

  • Building a multi-agent AI Copilot for equipment productivity-loss analysis.
  • Developing a context-aware router that selects and connects specialist agents.
  • Developing predictive and explainable AI for root-cause analysis, anomaly detection, and terminology normalization.
  • Building production AI pipelines with Airflow, Kubernetes, and Docker.

Backend Developer, Bankware Global

July 2016 – June 2018

Built enterprise backend systems using Java, Linux, and Oracle.

  • Worked in the Software Research Laboratory's infrastructure and interface solution teams.
  • Developed backend processes for the OK Bae-Jung Foundation scholarship website.

Market Researcher, Hankook Research

January 2016 – May 2016

Analyzed customer data and conducted field research.

  • Conducted group surveys and home interviews in Los Angeles for a report on built-in home appliances.
  • Interviewed experts in the digital signage field.

Academic Background

Education

Business shaped the questions I ask; industrial engineering and data mining shaped how I solve them.

Korea University

Bachelor of Business Administration • February 2016

  • Internship at Linewalks (2014): Suggested ideas for a healthcare big-data service and designed marketing promotion materials.
  • Internship at Hankook Tire Hungary Ltd. (2016): Worked with Hungarian colleagues on EU taxes and communicated in English.
Research & Knowledge Contributions Publications, Proceedings, Patents, Teaching, and Projects

Journal Publications

* Corresponding author · † Equal contribution

Marketing Project

가짜뉴스 문제 해결을 위한 범국민 SNS 캠페인 제안

윤서윤 (중앙대학교 광고홍보학과)†, 조영아 (중앙대학교 도시계획부동산학과)†, 최영현 (중앙대학교 프랑스어문학과)†, 박재홍 (중앙대학교 역사학과)†, 박지혜*
2023 KOSAC "시민 문화 정착 프로젝트 기획" 공모전 출품

Proceedings

Manufacturing

센서 관련 지식이 강화된 언어 모델을 활용한 센서명 자동 분류 방법

박지혜, 최민훈, 윤동운, 유하늘, 임재용, 최인수, 김수정, 김재혁, 정지수, 조성민, 금의석
Fall Conference of Korean Institute of Industrial Engineers (KIIE), Seoul, Korea, 2024.

Finance

Post-training Approach Using Form 10-K Filings to Inject Financial Domain-specific Factual Knowledge into Pretrained Language Models for Data-driven Financial Spam Filtering

박지혜, 조성준*
Summer Conference of Korea Data Mining Society (KDMS), Gangneung, Korea, 2023.

Finance

Twitter Embedding for Covariance Matrix Estimation & Portfolio Optimization

안재관, 박지혜, 유용재, 조성준*, 김규진
Summer Conference of Korea Data Mining Society (KDMS), Busan, Korea, 2022.

Finance

A frequency- and ranking-based approach for new event detection using non-contiguous bigrams from text data of the central bankers’ speeches

Jihye Park, Hye Jin Lee, Sungzoon Cho*
Fall Conference of Korea Data Mining Society (KDMS), Seoul, Korea, 2019.

Manufacturing

InfoAnoGAN: An Interpretable Anomaly Detection Method Using InfoGAN based on Unsupervised Learning

Jihye Park, Sungzoon Cho*
Spring Conference of Korea Data Mining Society (KDMS), Seoul, Korea, 2019.

Patents

Manufacturing

주성분의 특징을 이용한 대량 반도체 웨이퍼의 광학스펙트럼 전 파장 데이터 비교분석 방법

특허등록번호 P2952371 (2026.04.09)

Manufacturing

차원 축소 알고리즘과 군집 분석 평가 지표를 활용한 TTTM(Tool-to-Tool-Matching) 활동 관리 지수

특허출원번호 P20240116940 (2024.08.29)

Manufacturing

차원 압축 도메인에서의 가이드라인을 이용한 Biplot 분석 방법

특허출원번호 P20240110061 (2024.08.16)

Manufacturing

센서 관련 지식이 강화된 언어 모델을 활용한 자동 센서명 분류 방법

특허출원번호 P20240102576 (2024.08.01)

Teaching & Knowledge Sharing

Marketing Lecturer

Chung-Ang University, Department of Advertising and Public Relations, "Digital Analytics" Course

Spring 2023

중앙대학교 경영경제대학 광고홍보학과 전공선택 과목 "디지털 애널리틱스" Lecture Notes

Data Analysis Teaching Assistant

NH Nonghyup Bank (NH농협은행) "4th Industrial Revolution Core Talent Cultivation" Course

Summer 2022, Summer 2023

Provided technical support for big data analysis program for NH Nonghyup Bank employees.

Data Analysis Teaching Assistant

MKYU "Big Data Analysis" Course

Spring 2022

Provided feedbacks on data-driven value creation proposals written by MKYU students.

Data Analysis Teaching Assistant

LG U+ (엘지유플러스) "Dream Big Data" Course

Fall 2021

Provided technical support for Digital Transformation (DX) training program for LG U+ employees.

Data Analysis Teaching Assistant

SNU Data Mining Camp / SNU Big Data AI Camp

February 2019 – August 2023

Assisted lectures on introduction to data mining for high school students.

Finance Invited Speaker

Hot Topic Detection in Central Bankers' Speeches and Social Media

at College of Business Administration, Seoul National University (서울대학교 경영대학) on November 2021

Finance Invited Speaker

Detection of word-changes in FOMC statements

at VAIV company (바이브컴퍼니) on August 2021

Finance Invited Speaker

Hot Topic Detection in Central Bankers' Speeches for Text Mining-Based Early Warning Systems

at Korea Investment Corporation (한국투자공사) on October 2020

Research Projects

Finance

Information Extraction, Data Labeling, and Dataset Shift Adaptation Algorithms for Big Data Analysis Model Construction

빅데이터 분석 모델 구축을 위한 정보 추출, 데이터 레이블링, 데이터셋 변화 적응 알고리즘 연구

National Research Foundation of Korea (한국연구재단)
September 2021 – August 2023
Scraped domain-specific textual data such as FOMC Statements and FOMC Minutes.

Manufacturing

Research on building knowledge graph in the semiconductor domain

반도체 분야 지식 그래프 구축 연구

Samsung Electronics SAIT (삼성전자 SAIT)
February 2023 – June 2023

Manufacturing

Research on deep learning based robust techniques for equipment anomaly detection

딥러닝을 활용한 강건한 설비 이상 탐지 기법 연구

Samsung Electronics Digital Twin Center (삼성전자 Digital Twin 센터)
December 2020 – June 2023

Finance

Text mining based hot topic detection from social media data

소셜미디어 텍스트 분석을 통한 투자 관련 핫토픽 탐지

NH Investment & Securities (NH투자증권)
September 2021 – December 2021

Manufacturing

Development of automatic classification system for documents using artificial intelligence technology

인공지능 기술을 통한 문서 분류 자동화 시스템 구축

Samsung Electronics AI/PX Center (삼성전자 AI/PX센터)
June 2019 – March 2021

A Little More About Me
  • I love being in the water, so swimming is my favorite way to stay active. I also enjoy yoga and Pilates.
  • I’m drawn to films by Christopher Nolan and David Fincher; Memento is my all-time favorite.
  • I enjoy watching TV series about profiling such as Criminal Minds, Mind Hunter, and 시그널.
  • I love music. My favorite artists include 윤하, Taylor Swift, and Chopin. I also enjoy playing the piano. Music always helps me chill out.
  • I value a simple lifestyle and like to write down my thoughts and feelings without dwelling too much on the past.
  • I’m easily moved by warm words, and I genuinely like people. I believe that no one is purely evil. One of my favorite phrases is, “Love all, trust few, do wrong to none.”