Professor Azhar’s current research involves the study of dialogues during human-robot collaboration. His other research interests include intelligent interface, computer science education, artificial intelligence, educational robotics, educational games, and interactive learning systems.
Professor Tang’s research interests are in the fields of 3D computer modeling, visualization of large-scale scene, image understanding, video mining, mobile human-computer interaction and mobile robot navigation. His research addresses the important issue of how to optimize the performance of the current 4G (LTE/WiMAX) backhaul infrastructure to cope with the growing and dynamic nature of the emerging data-centric mobile multimedia traffic and services. Specifically, this work would study the performance analysis of LTE networks augmented with pico-cells i.e., heterogeneous networks (HetNets) and supported by the already overlaid PON networks.
Professor Wei’s research areas include: 1. Health/medical data interoperability and exchange in heterogeneous environments: Sharing heath data among disparate health information systems by using a cloud framework, 2. Steganography: Optimization of the LSB Steganography process using sample pair analysis, 4. Data analytics by using machine learning: Knowledge extraction for transportation data and 4. Geographic Information Science (GISc): GISc program development in an urban environment.