Assadig Almhdy Abdelrhman Abakr

Project Title

This proposed PhD project aims to reduce the high bandwidth and ultra-low latency requirements of extended reality (XR) holographic communications, which currently limit the potential of this technology. By leveraging artificial intelligence (AI) and edge computing techniques, the project aims to reduce the amount of data that needs to be transmitted over the network and optimize data transmission, resulting in a more seamless and immersive experience for users. The project will investigate the use of machine learning algorithms to intelligently filter and compress 4D light field data, the use of edge computing to process the data on either end of the communication, and the use of multi-path networks to optimize data transmission. The project will work closely with Huawei to develop business cases, and test beds for the technology. The project has the potential to unlock new use cases for XR communication, enabling remote collaboration, education, and telemedicine.

Supervision Team

This proposed PhD project aims to reduce the high bandwidth and ultra-low latency requirements of extended reality (XR) holographic communications, which currently limit the potential of this technology. By leveraging artificial intelligence (AI) and edge computing techniques, the project aims to reduce the amount of data that needs to be transmitted over the network and optimize data transmission, resulting in a more seamless and immersive experience for users. The project will investigate the use of machine learning algorithms to intelligently filter and compress 4D light field data, the use of edge computing to process the data on either end of the communication, and the use of multi-path networks to optimize data transmission. The project will work closely with Huawei to develop business cases, and test beds for the technology. The project has the potential to unlock new use cases for XR communication, enabling remote collaboration, education, and telemedicine.

Description

This proposed PhD project aims to reduce the high bandwidth and ultra-low latency requirements of extended reality (XR) holographic communications, which currently limit the potential of this technology. By leveraging artificial intelligence (AI) and edge computing techniques, the project aims to reduce the amount of data that needs to be transmitted over the network and optimize data transmission, resulting in a more seamless and immersive experience for users. The project will investigate the use of machine learning algorithms to intelligently filter and compress 4D light field data, the use of edge computing to process the data on either end of the communication, and the use of multi-path networks to optimize data transmission. The project will work closely with Huawei to develop business cases, and test beds for the technology. The project has the potential to unlock new use cases for XR communication, enabling remote collaboration, education, and telemedicine.