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Faculty Research: Computer Science

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.

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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.

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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.

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