About

I am a Ph.D. candidate in Industrial Engineering, with research interests in optimization, algorithms, and data-driven decision making.

  • City: Daejeon, Korea
  • Email: sy.choi@kaist.ac.kr

Interests

Operations Management

Mathematical Optimization

Data-Driven Decision Making

Online Learning

Game Theory

Dynamic Pricing

Education

KAIST

KAIST

Ph.D. in Industrial and Systems Engineering

Mar 2025 – Present
KAIST

KAIST

M.S. in Industrial and Systems Engineering

Feb 2023 – Feb 2025
Yonsei University

Yonsei University

B.S. in Industrial Engineering

Feb 2017 – Aug 2021

Experience

Professional Experience

Samsung Electronics

September 2021 – February 2023

DS Division, Memory Business — DRAM PE(Product Engineering) Team

Engineer

Teaching Experience

KAIST

Spring 2025

Industrial and Systems Engineering

Graduate Teaching Assistant, OR Optimization

KAIST

Fall 2024

Industrial and Systems Engineering

Graduate Teaching Assistant, Markov Decision Processes and Principle of Reinforcement Learning

KAIST

Spring 2023, Spring 2024

Industrial and Systems Engineering

Graduate Teaching Assistant, Manufacturing Process Innovation

KAIST Science Outreach Program (KSOP)

March 2024 – December 2024

Academic support for underrepresented students

Tutor

Academic Service & Leadership

KAIST, Dept. of Industrial and Systems Engineering

January 2025 – December 2026

Graduate Student Representative

INFORMS Transportation Science and Logistics (TSL) Workshop 2025

May 19 – 21, 2025

Seoul, South Korea

Workshop Organizer

Research

Publications

Dynamic Pricing of an Expiring Item under Strategic Buyers with Stochastic Arrival

Suyeon Choi, Changhyun Kwon, Seungki Min

arXiv Preprint

Current Research Projects

UAV Path Optimization for Wildfire Monitoring

Developing a risk-aware monitoring framework to enhance wildfire detection capabilities using Unmanned Aerial Vehicles (UAVs). This research focuses on optimizing surveillance routes by integrating temporal risk dynamics with stochastic operational environments.

  • • Wildfire Risk Modeling: Implementing age-based dynamic models to quantify the cumulative risk of fire ignition and spread across disparate geographic nodes.
  • • UAV Path Optimization: Designing exact algorithms, including Branch-and-Price, to determine optimal monitoring paths that minimize system-wide expected risk.
  • • Stochastic Inspection Analysis: Evaluating the impact of inspection success probabilities on UAV routing patterns and long-term risk mitigation efficacy.

Contact

My Address

E2-1, 291 Daehak-ro,Yuseong-gu

Daejeon 34141

Social Profiles

Email

sy.choi@kaist.ac.kr

suyeon.choi@comet.kaist.ac.kr