Abstract:

This talk will concentrate on some successful applications of search-based and neural network algorithms in two distinctly different areas of real-time embedded systems development: scheduling and timing analysis, and Internet of Things. However it will then motivate some significant challenges for the artificial intelligence community that surprised a user from another research community. The talk will highlight how a seemingly simple-to-use powerful solutions would benefit from a more traditional engineering lifecycles.

Speaker Bio:

Dr Iain Bate is a Reader within the Real-Time Systems (RTS) Research Group at York. His main interests include scheduling and timing analysis, and design assurance to achieve dependable operation even when there are complex failures. His original doctoral work on scheduling and timing analysis was first patented and then adopted by Rolls-Royce for use on current aircraft projects. His work on timing analysis has been used on a large fast jet project.

Recently he has worked on applying the principles of Dependable Real-Time Systems (DRTS) to more complex systems such as automotive systems and Wireless Sensor Networks (WSN) including for environmental monitoring. In particular he has concentrated on producing models of aspects of systems through the building of systematic methods based around multi-variate statistical models. Dr Bate has published over 100 papers and 30 industrial reports, and secured and managed over £5 million worth of grants. He was the Editor-in-Chief for the Journal of Systems Architecture for 10 years.