Projects

Air Traffic Management

Research Project in the Institute for Infocomm Research, A*STAR
In this project, we proposed an aircraft surface movement model, which can be used to simulate the aircraft movements on the ground and provide a more accurate and reliable prediction of the aircraft movements.

Demand Prediction and Capacity Estimation for Terminal Maneuvering Area (TMA) (Oct 2021 - Oct 2023)

Research Project in the Institute for Infocomm Research, A*STAR
In this project, we developed a data-driven approach to predict the demand and capacity of TMA, which is a critical part of the air traffic management system. The goal is to provide a more accurate and reliable prediction of the demand and capacity, which can help to improve the efficiency and safety of air traffic management.

Distributed Model Predictive Routing and Scheduling with an Eulerian-Lagrangian Air Traffic Flow Dynamic Model (Apr 2015 - Jun 2018)
- Research Project in Air Traffic Management Research Institute (ATMRI), NTU
- The goal of this research is to develop a distributed model-predictive air flow management approach (in terms of flight routing and scheduling), which is applicable to a large-scale air traffic network, and can mitigate the network-wise en-route and airport arrival delay caused by reduction of link capacities during abnormal situations such as severe weather in some regions or airspace restrictions due to military operational needs.

Distributed Adaptive Urban Traffic Signal Control based on V2X Information Infrastructure (Apr 2015 - Nov 2018)
- Research Project in NTU-NXP Corp Lab, under Smart Mobility Programme in Centre for Infocomm Technology (INFINITUS), NTU
- In this project we will investigate how to improve traffic situations in a densely populated region by using intelligent traffic control with Vehicle-to-infrastructure (V2X) information technologies. Our ultimate goal is to form a closed loop between traffic light schedulers and traffic signal end users (i.e., vehicles), whose joint efforts will eventually lead to an intelligent and highly adaptive road traffic management system.

Aerospace Integrated Electrical System (AIES) (Aug 2018 - Jan 2019)
- Research Project in Rolls Royce @NTU Corporate Lab
- To provide an integrated solution for the electrical power system in more electric aircraft (MEA)

Intelligent Power Allocation and Scheduling for More Electrical Aircraft (Aug 2014 - Aug 2018)
- Research Project in Rolls Royce @NTU Corporate Lab
- In this project, an intelligent power management for civil aircraft will be developed, based on a much smaller scale of power system architecture. The main objective is to develop an intelligent power management system that is scalable and flexible to be applied to systems with different levels of complexity.