Faculty of Engineering
 

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Rob Shipman

Associate Professor, Faculty of Engineering

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Biography

Rob Shipman is an Associate Professor in the Faculty of Engineering, where his focus is on the research and development of technologies to support the current energy transition. His research activity includes the use of electric vehicle batteries to support vehicle-to-grid (V2G) and vehicle-to-building (V2B) applications; the development of smart energy communities; and demand-side response systems.

Prior to returning to academia, Rob spent a number of years in commercial roles at blue-chip companies including BT and E.ON. He has also been involved in several start-up companies in which he has held director-level positions and been a founder. A common theme throughout his commercial and academic work has been the use of data science and adaptive technologies such as artificial intelligence, complex systems, and evolutionary computation.

Rob Shipman is a part of the Buildings, Energy, & Environment Research group.

Research Summary

Rob's work at Nottingham centres on Energy Informatics in which he uses Internet of Things and machine learning technology to help address energy problems. He is also interested in applying these… read more

Current Research

Rob's work at Nottingham centres on Energy Informatics in which he uses Internet of Things and machine learning technology to help address energy problems. He is also interested in applying these technologies for health applications.

Current projects include:

* Human Switch; researching machine learning approaches to pool a population of electric vehicle batteries to form a reliable storage resource that can be used to participate in grid services.

* Project SCENe; R&D of the IoT, cloud and analytics infrastructure for a community energy project in the Trent Basin area of Nottingham.

Past Research

His past work includes simulating consumer behaviour using artificial biochemistry, evolving telecommunications networks, developing adaptive data routing strategies, exploiting the properties of complex networks for improved search, evolving complex financial portfolios for 9 out of the world's top 10 investment banks and the development of a smart thermostat product for a "big-6" energy company.

Faculty of Engineering

The University of Nottingham
University Park
Nottingham, NG7 2RD



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