Stephen Neville, University of Victoria
Associate Professor
Electrical and Computer Engineering
Victoria, British Columbia
stephen.neville@ieee.org
Office:
(250) 721-6017
Expert In
Bio/Research
My primary research focuses on industry- and government-applied research in the areas of:
- Enterprise-scale cyber-security and cyber-privacy
- Software engineering and, particularly, software scalability issues,
- Data analysis and data sciencee, i.e. of software engin...
Click to Expand >>
- Enterprise-scale cyber-security and cyber-privacy
- Software engineering and, particularly, software scalability issues,
- Data analysis and data sciencee, i.e. of software engin...
Click to Expand >>
Bio/Research
My primary research focuses on industry- and government-applied research in the areas of:
- Enterprise-scale cyber-security and cyber-privacy
- Software engineering and, particularly, software scalability issues,
- Data analysis and data sciencee, i.e. of software engineering data, wireless data, medical data, etc.
- Cloud and high peformance computing, including the cloud resource management,
- Wireless and machine-to-machine systems.
The common theme underlying these reseach areas is:
"Builing the tools and understanding necessary to quantitaively engineer the larger-scale software, IT, and data analysis systems upon which modern societies are coming to depend upon".
My research areas build and make extensive use of the theorectical disciplines of: statistical signal processing, random processes, statitsical pattern recognition, ergodity theory, measure theory, game theory, aritificial intelligence, and software engineering, with much of my active research being industry-collaborative, i.e., projects that at the end-of-the-day must provide real industry percieved value.
Much of my research involves using substaintial computing available either through my own InSPiRe lab which contains closed-facility research cluster or via HPC resources provided via West Grid and Compute Canada.
Click to Shrink <<
- Enterprise-scale cyber-security and cyber-privacy
- Software engineering and, particularly, software scalability issues,
- Data analysis and data sciencee, i.e. of software engineering data, wireless data, medical data, etc.
- Cloud and high peformance computing, including the cloud resource management,
- Wireless and machine-to-machine systems.
The common theme underlying these reseach areas is:
"Builing the tools and understanding necessary to quantitaively engineer the larger-scale software, IT, and data analysis systems upon which modern societies are coming to depend upon".
My research areas build and make extensive use of the theorectical disciplines of: statistical signal processing, random processes, statitsical pattern recognition, ergodity theory, measure theory, game theory, aritificial intelligence, and software engineering, with much of my active research being industry-collaborative, i.e., projects that at the end-of-the-day must provide real industry percieved value.
Much of my research involves using substaintial computing available either through my own InSPiRe lab which contains closed-facility research cluster or via HPC resources provided via West Grid and Compute Canada.
Click to Shrink <<