Research Topics: Effective allocation of resources is at the core of ride-hailing businesses. In this work, we look at how to leverage current advances in graph neural networks and reinforcement learning to capture structural relationships in the world to maximize the allocation experience for passengers.  

Supervisor: Lee Wee Sun, Professor, School of Computing.

Hu Wenmiao

Research Topics: Generative Adversarial Network (GAN), Computer Vision (CV) and Geoinformation extraction from spaceborne data. “GAN based graphic simulator for large-scale environment and its applications”.  

Supervisor: Roger Zimmermann , Associate Professor, School of Computing.

Johan Kok Zhi Kang

Research Topics: Exploring deep learning techniques for resource allocation on data warehouses. Data mining and understand query patterns to be used to formulate resource allocation strategies using cloud infrastructures.  

Supervisor: He Bingsheng , Associate Professor, School of Computing.

Lim Xiang Hui Nicholas

Research Topics: User preferences and deep learning for recommendation problems, such as predicting where a user might visit next.  

Main Supervisor: Ng See-Kiong , Professor, School of Computing.

Co-Supervisor: Bryan Hooi Kuen Yew , Assistant Professor, School of Computing.

Yang Suwei

Research Topics: Traffic AI - all things related to traffic, for instance travel time estimation and routing. To apply artificial intelligence to problems in this domain. This includes coming up with the underlying algorithms as well as the effective application of the algorithms to the specific problems in the domain.  

Supervisor: Meel, Kuldeep S. , Assistant Professor, School of Computing.