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Microwave photonic solutions for modern radar/antenna systems

This project aims to realize arbitrary, high-resolution photonic signal processors, which exhibit low-noise operation. Specially, we investigate new concepts for generating a large more...

Supervisor(s): Yi, Xiaoke (Associate Professor)

JANA: a Java- based mixing pattern analyser for complex networks.

Many distributed systems in the real world, including social, biological and technical systems can be modelled as complex networks. During the past few years a number of new graph t more...

Supervisor(s): Piraveenan, Mahendra (Dr)

Interference Cancellation in Co-working WLANs

Capacity of cellular networks, such as 3G CDMA, B3G HSPA and LTE, are interference-limited. This means that the maximum number of users in each cell and overall system capacity main more...

Supervisor(s): Vucetic, Branka (Professor), Li, Yonghui (Professor)

Data Processing in Sensor Networks

This project involves developing novel adaptive methods for true in-network data processing within a Wireless Sensor Network (WSN). more...

Supervisor(s): Roehm, Uwe (Associate Professor)

Individual and team learning & performance in a virtual context: a social network & system dynamics approach

Traditionally, most social network studies have been associated with individual or organizational outcomes such as learning, coordination and performance. While such formal social n more...

Supervisor(s): Chung, Kenneth (Dr)

Beyond Deep Blue: A complex network approach to playing chess

If you play chess, you may have noticed that often we have to calculate the net pressure on certain pieces (i.e how many pieces are 'attacking' it and how many pieces are defending more...

Supervisor(s): Piraveenan, Mahendra (Dr)

Federating Autonomous Sensor Networks

The work involves the use of a variety of theoretical techniques to study federation in distributed systems. more...

Supervisor(s): Zomaya, Albert Y. (Professor)

Machine Learning Algorithms to Detect Learning Tactics

Machine learning algorithms can be used to analyse the interactions occurring in learning environments to then adapt and personalise the experience to the learners. more...

Supervisor(s): Pardo, Abelardo (Dr)

Analysis of Behavioural Patterns after Data Visualization

Learners are given feedback about their interactions in a learning environment. What is the effect in their self-regulation? more...

Supervisor(s): Pardo, Abelardo (Dr)

Vision laboratory

The vision laboratory is interested in understanding how the images of the visual world are converted in neural information and how this information is represented in the brain. We more...

Supervisor(s): Protti, Dario (Dr)