PhD supervision and scholarships are available generally within the domain of data-driven security solutions for wireless networks, but more conventional topics within wireless networks will also be considered.
Wireless networks need to be able to transfer vast amounts of information at very high speeds. In addition, users need to be confident that this information will be well protected, whether it has been generated by a human user or by a sensor. These issues are addressed through the use of sophisticated statistical and non-statistical machine learning methods.
I’ve been working in this field for more than 20 years. I’m interested in this particular area of research because it’s one where mathematics can be applied to solve real-world problems. I get excited about applying theory to practice – particularly when the application has a very large impact on society, as is the case for the various forms of wireless communications.
The opportunity ID for this research opportunity is 2812