Presentations & Talks

A robust optimization approach for dynamic airspace configuration

ATM 2025 (the 1st US-Europe Air Transportation Research & Development Symposium)

Prague, Czech

Presenter: Go Nam Lui and 5 co-authors

A mixed integer programming approach for airspace sector design problem

TRISTAN XII

Okinawa, Japan

Presenter: Guglielmo Lulli and 1 co-authors

Robust optimization approaches for the Dynamic Airspace Configuration problem

EURO 2025

Leeds, UK

Presenter: Martina Galeazzo and 3 co-authors

Airspace sector design: an optimization approach

SESAR Innovation Days

Rome, Italy

Presenter: Go Nam Lui and 3 co-authors

Gradient-based smart predict-then-optimize framework for aircraft arrival scheduling problem in terminal maneuvering area

OpenSky Symposium

Hamburg, Germany

Presenter: Go Nam Lui and 1 co-authors

Machine learning application in airspace operation: from terminal airspace to dynamic configuration

Applied Machine Learning Days (AMLD) EPFL

EPFL, Lausanne, Switzerland

Presenter: Go Nam Lui

Data-driven weather impact quantification for airport arrival on-time performance inside the terminal airspace

INFORMS Annual Meeting

Phoenix, Arizona, USA

Presenter: Go Nam Lui

Machine learning applications in aircraft design and transportation

The interface among physics, neural science, and machine learning

The Education University of Hong Kong, Hong Kong

Presenter: Go Nam Lui

Data-driven approach for aircraft arrival flow investigation at terminal maneuvering area

AIAA Aviation Forum

Virtual Conference

Presenter: Go Nam Lui and 2 co-authors