Cost Effective and Survivable Wide-area Topology of Telecommunication Cabling
To develop a methodology and working tools for cost effective design of a survivable wide-area network optimizing the topology and the shapes of the telecommunication cables considering real earthquake effects and geography.
Prof. Moshe Zukerman
Remote PPG Signal Estimation from Human Face
Dr. L M Po
Deep Learning based Video Quality Assessment
Dr. L M Po
Multiple Packet Reception in 802.11 Networks
Successive interference cancellation can resolve collisions involving multiple packets and hence
improve the throughput of an 802.11 network. This technique, however, requires packets to be sent
with different power levels. In this project, we study the problem of determining the optimal
probability distribution associating with these power levels when the network is operated in
infrastructure and ad-hoc modes, respectively.
Dr. Sammy C H Chan
Named Data Networking (NDN)
NDN is a new network architecture proposed by the networking community to support information-centric networking.
Our research aims to
(1) design and implement high-speed hardware NDN router; and (2) design suitable NDN protocols and related packet processing hardware to support access control for contents that require subscription.
Dr. Derek C W Pao
Performance Evaluation of Hierarchical Multiservice Wireless Networks
With coming 5G services, variable bandwidth delay based multi-layer wireless networks are required.
In this work, efficient design algorithms are proposed for real-time (RT) and non-real-time (NRT)
We proposed two efficient and accurate approximation methods when either NRT or RT traffic is
dominant within the layer. For hierarchical multi-layer structure, we use Multiservice Equivalent
Random Method for fast and accurate modeling of overflow traffic.
Dr. K T Ko
Networking is the key to the evolving information and communications technology (ICT) infrastructure. Networking research includes developments of new methods for analysis and design of ICT systems and networks. The aim is to achieve secure, reliable and efficient communications between users (human and non-human) and across networks that meets required quality of service (QoS) specifications. We investigate means for QoS assessment and improvement of multimedia services. The networks we study include wireless, optical, undersea and caching networks. We also study modern computational platforms over Internet involving cloud computing and data-centre networks. We use queueing and teletraffic theory for performance evaluation of networks as well as systems including large server farms. Mathematical programming, machine learning and related heuristic algorithms are used to optimize performance. Data visualization is used to cope with large volume of network data. We apply our work beyond ICT to other infrastructures including electricity, transportation, and health.
The team is devoted to the research on: optical networks; wireless networks; computer networks; neural networks; machine learning; visualization and graphics; queueing theory; performance evaluation; and security and cryptography.
The team consists of the following faculty members:
Dr Sammy C H Chan,
Dr K T Ko,
Prof Andrew C S Leung,
Mr K T Ng,
Dr Derek C W Pao,
Dr L M Po,
Dr Eric W M Wong,
Dr Alan K H Yeung, and
Prof Moshe Zukerman.
Last Updated : 10 Jan 2017