I'm a Ph.D. student and research assistant in Air Transportation at Korea Aerospace University. My research interests include airport operations, air traffic management, aviation simulation, and decision support systems. Airports change minute by minute as aircraft, passengers, and resources interact. I'm interested in understanding how these dynamics shape operational performance. My research spans airport operations analysis, passenger queue forecasting, and aircraft trajectory analysis. I use operational data to study passenger queue dynamics and aircraft movement patterns, and simulation to evaluate airport capacity and operational performance. These experiences have motivated me to explore how individual operational processes interact and how changes in one process affect the wider system.
My research goal is to develop integrated modeling and optimization methods that connect forecasting with operational decision-making. I aim to understand how demand, aircraft operations, and facility capacity jointly shape system performance, and to evaluate strategies that improve operations as conditions change. I am also interested in extending these methods to advanced air mobility, where aircraft and vertiport operations must be coordinated across a network. By accounting for uncertainty and considering both safety and efficiency, I hope to help operators anticipate problems, evaluate alternatives, and improve the experience of the people who operate and use air transportation systems.
Research interests: Airport Operations, Air Traffic Management, Aviation Safety, Advanced Air Mobility, Integrated Simulation and Optimization, and Predictive Decision Support.
SEP 2025–MAR 2026
INCHEON INTERNATIONAL AIRPORT
Analyzed airport operational data, including flight schedules, passenger flows, and observed queue lengths and waiting times. Developed and validated a CAST-based passenger terminal simulation model.
CAST Airport data analysis Queue analysis
OCT–DEC 2025
INCHEON INTERNATIONAL AIRPORT
Analyzed airport operations using TAAM to assess delay changes under varying passenger demand and capacity conditions. Supported strategic evaluation of airport competitiveness from an operational performance perspective.
TAAM Airport competitiveness Delay analysis Airport connectivity
JUL–DEC 2025
INCHEON INTERNATIONAL AIRPORT
Developed MATLAB-based simulation models for departure passenger processing facilities using actual airport observation data. Estimated queue length and waiting time under time-varying demand and operational conditions.
MATLAB Passenger flow Queue analysis
JUL–DEC 2025
JEJU INTERNATIONAL AIRPORT
Simulated apron congestion and aircraft surface movement using TAAM. Evaluated taxi-line operational alternatives for congestion mitigation and surface movement efficiency.
TAAM Surface operations
JUL–DEC 2024
KOREA AGENCY FOR INFRASTRUCTURE TECHNOLOGY ADVANCEMENT (KAIA)
Contributed to research on technical standards for vertiport networks and the development of an integrated operations system for Advanced Air Mobility (AAM).
AAM Vertiport networks Integrated operations
SEP 2022–AUG 2024
INCHEON INTERNATIONAL AIRPORT
Performed runway capacity analysis using TAAM and passenger terminal simulation using CAST. Evaluated capacity, congestion, delay, and economic feasibility for airport master planning.
TAAM CAST Capacity analysis
SEP–DEC 2021
MINISTRY OF LAND, INFRASTRUCTURE AND TRANSPORT
Supported the development of airport capacity setting guidelines for airport planning and management. Reviewed capacity concepts, operational constraints, and demand–capacity relationships.
Airport capacity Demand–capacity analysis Planning guidelines
SEP–DEC 2021
MINISTRY OF LAND, INFRASTRUCTURE AND TRANSPORT
Analyzed observed aircraft trajectory data to evaluate the effectiveness of flight procedures under the operation of Continuous Descent Operations (CDO) and Continuous Climb Operations (CCO).
PBN CDO/CCO Effectiveness analysis
For the most up-to-date list of publications, please see my Google Scholar.
AIAA DATC/IEEE Digital Avionics Systems Conference (DASC), 2026
Best Paper of Session Award · Top 10 Best Student Paper Finalist
A Transformer-based framework for airport passenger queue forecasting, jointly modeling temporal patterns and dependencies across airport facilities.
Journal of the Korean Society for Aviation and Aeronautics, 34(3), 120–129, 2026
A resource-allocation model evaluating de-icing/anti-icing pad allocation, truck deployment, and integrated ground-handler operations to mitigate departure delays at Incheon International Airport under different snowfall conditions.
Journal of the Korean Society for Aviation and Aeronautics, 34(3), 213–221, 2026
A heuristic framework for generating UAM flight schedules across multiple vertiports while satisfying TLOF and gate capacity, aircraft continuity, and temporal constraints, with sensitivity analysis of demand and resource availability.
Journal of the Korean Society for Aviation and Aeronautics, 2025
An analysis of major Asian airport networks using the NetScan model, examining direct, indirect, and hub connectivity with a focus on Incheon International Airport.
Journal of the Korean Society for Aviation and Aeronautics, 2025
An airport capacity utilization assessment using the Capacity Coverage Chart to identify demand patterns, operational constraints, and periods of congestion.
Journal of the Korean Society for Aviation and Aeronautics, 32(4), 60–72, 2024
A review of airport capacity estimation methods, comparing analytical and simulation approaches, their inputs and limitations, and the role of delay in distinguishing ultimate and practical capacity.
IEEE/AIAA 42nd Digital Avionics Systems Conference (DASC), 2023
An empirical study using mobile data to examine travelers’ airport access mode choices for Incheon International Airport.
Journal of the Korean Society for Aviation and Aeronautics, 30(4), 132–144, 2022
An aircraft trajectory analysis of STAR utilization and continuous descent operations at Incheon and Jeju International Airports, examining operational constraints and opportunities to improve arrival procedure design.
Journal of the Korean Society for Aviation and Aeronautics, 2021
A visualization of airline fleet state changes using dimensionality reduction to distinguish regular operating patterns from schedule disruptions.
AIAA DATC/IEEE Digital Avionics Systems Conference
Airport and Terminal Operations Analytics
KAU Professional Talent Development Scholarship US$4,520
Capstone Design Competition US$260
ICT Startup Makerthon US$740
Jeongseok C Scholarship US$840
Jeongseok C Scholarship US$740
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