The research conducted within the InSPiRe lab spans data analytics, machine learning/AI, cyber-security and privacy, software engineering, and high-tech entrepreneurship concerns.

A large portion of the research that is undertaken involves industry collaborations and real-world problems that industry is seeking answers to.

More specifically, a core focus on the lab across these areas of research is seeking to advanced understandings into the theory-to-practice gaps arising due to the scale and complexity of modern real-world systems and problem domains, i.e., as opposed to the innately far more limited contexts arising within traditional academic research lab settings.

As such, the research targets where and why current theory breaks down when applied to the modern large-scales and complexities of the  systems modern societies critical rely.

Funded research positions exist from time to time but are centred on specific industry projects and industry needs. Self-funded students may be accepted, but the undertaken project must still fall within the general InSPiRe lab scope and focus on modern real-world industry-scale systems.

If you are interested in pursuing a graduate level research within the InSPiRe lab please contact Dr. Neville and clearly indicate whether you a seeking a funded or self-funded position. Again, funded positions are limited to specific industry-focused projects and, hence, no guarantee exists that funded positions may exist at any given time (or over any given period).