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Computational characterisation of trans-regulatory cell systems

This project aims provide enabling computational and statistical methods for characterising trans-regulatory networks in cell systems. The goal is to discover regulatory networks th more...

Supervisor(s): Yang, Pengyi (Dr)

Channel Code Design in Short Block Length Regime: Capacity Analysis and Code Design

Ultra-reliable and low latency communications is central to the development of next generation's mobile communications and many emerging mission critical applications. The project w more...

Supervisor(s): Shirvanimoghaddam, Mahyar (Dr), Li, Yonghui (Professor), Vucetic, Branka (Professor)

Disease Map - Big Data driven modelling and derivation of diseases and treatment response

BMIT excels at addressing bio-inspired and other real-world challenges with core computing and information technology research in image processing and informatics, computer vision, more...

Supervisor(s): Feng, David (Professor), Kim, Jinman (Associate Professor)

Machine learning in Multiscale Image-Omics

BMIT excels at addressing bio-inspired and other real-world challenges with core computing and information technology research in image processing and informatics, computer vision, more...

Supervisor(s): Feng, David (Professor), Kim, Jinman (Associate Professor)

Semantic-driven Multi-modal Biomedical Data Visualisation

BMIT excels at addressing bio-inspired and other real-world challenges with core computing and information technology research in image processing and informatics, computer vision, more...

Supervisor(s): Kim, Jinman (Associate Professor), Feng, David (Professor)

Non-orthogonal multiple access for massive Internet of Things

Non-orthogonal multiple access (NOMA) has been identified as a key technology in the fifth generation of mobile wireless standards to improve the network capacity. This project aims more...

Supervisor(s): Shirvanimoghaddam, Mahyar (Dr), Vucetic, Branka (Professor)

Traffic Programming - Algorithms for Cooperative Behaviour among Unconnected AVs

Current AV algorithms aim to safely manoeuvre a vehicle through traffic without involving humans. These algorithms do not consider implications on the efficiency of traffic as a who more...

Supervisor(s): Levinson, David (Professor)

Design of Novel Channel Coding Techniques for Short Packet Transmission in Massive Internet of Things

In this project, the channel code design problem for massive Internet of Things (IoT) is considered by taking into account the unique characteristic of massive IoT, i.e., short leng more...

Supervisor(s): Shirvanimoghaddam, Mahyar (Dr), Li, Yonghui (Professor), Vucetic, Branka (Professor)

Real-time Low-power Neural Accelerator

This project aims at developing an Application-Specific Integrated Circuit (ASIC) for a low-power learning system processing real-time time-series data. more...

Supervisor(s): Kavehei, Omid (Dr)

Data-intensive solutions for medical technologies

This project aims at developing advanced solutions in software for processing medical data, addressing the issue of less or no labelled data. more...

Supervisor(s): Kavehei, Omid (Dr)