Mr. Jie Hui Ng is an emerging researcher specializing in traffic big data mining, network analysis, and travel behavior modeling, with a growing scholarly impact reflected through his h-index, document count, and citation metrics. His research focuses on leveraging sparse data environments to extract meaningful mobility insights, particularly through advanced data-driven frameworks. His notable work, TravelForest, introduces a trajectory reconstruction and travel path selection framework using sparse license plate recognition (LPR) data, integrating road network topology and dynamic traffic conditions. By extending the random forest model with an interpretable structure, his approach achieves high accuracy and robustness under limited data availability. His contributions also reveal key determinants of route choice, such as turn frequency and data coverage, while supporting scalable, real-time traffic analysis. Furthermore, his research advances proactive traffic signal control optimization, enhancing intelligent transportation systems and urban mobility efficiency.