Air Traffic Management · Optimization · Machine Learning
Go Nam Lui, Ph.D.
Research Assistant Professor, City University of Hong Kong
I develop optimization, machine learning, and data-driven methods for Air Traffic Management, including mixed-integer programming and decision-focused learning for dynamic airspace configuration and aircraft arrival scheduling, contributing to safer and more efficient skies. As a major participant in the SMARTS EU project, I work with industry partners to translate research into production-ready systems. Beyond academia, I co-founded FinCatch, a fintech startup.
Research Interests
Air Traffic Management
Operations Research
Artificial Intelligence
Latest Posts
View all posts →December 31, 2025
Goodbye 2025: A Year in Review
It’s the very last day of 2025. Unable to sleep, I find myself looking back on the past year, trying to feel satisfied with where I am.
September 25, 2025
Solving Large-Scale Warehouse Optimization: From MILP to Column Generation
A brief overview of the MILP and column generation approach for solving large-scale warehouse optimization problems.
June 3, 2025
How FinCatch AI Engine Delivers Institutional-Grade Investment Research - Eli Lilly Case Study
Discover how FinCatch's advanced AI engine transforms investment research through a comprehensive analysis of Eli Lilly (LLY). This detailed case study demonstrates real-time synthesis of financial data, market trends, and pipeline developments to deliver actionable insights on LLY's GLP-1 dominance, pipeline potential, and investment thesis—showcasing the future of AI-driven financial analysis.