PGR SPOTLIGHT DAY
Held on 12th - 16th October 2020: Five days of Physics goodness on
- Optics
- Wireless
- PGR Spotlight day
- Quantum
- Data Science & AI
Find out more.
Dr Hannah Steventon is a Research Associate at the University of Suffolk, working on the DfT-funded Smarter Suffolk project with Suffolk County Council, BT and other partners. Smarter Suffolk is building a county-wide Live Lab of thousands of Internet of Things (IoT) sensors, measuring environmental and traffic conditions across the county to showcase competing innovative technologies. Big Data sets will be accumulated in a vendor-neutral data exchange for analytics applied to a range of Local Authority services. Existing and new communications networks are enabling the IoT deployment, in part using the existing powered lighting column infrastructure.Initially a hydrogeologist, in her early career Hannah led regeneration projects for large civil engineering firms to assess and remediate contaminated land. Her professional experience includes sophisticated software analysis and modelling of large data sets, site project management of civils contractors, and laboratory chemical analysis. Her doctoral research showed how natural organic matter affects the movement of contaminants through the ground, and she taught Hydrogeology and Pollution at Birkbeck, University of London.
In recent years, as a computing educator and STEM Ambassador, Hannah taught hundreds of children coding, electronics and control systems, using the Raspberry Pi, Arduino, Crumble and Micro:Bit. Projects have included running children’s code on the International Space Station; developing an IoT device to win a major national competition; robots in school corridors; and a large class of 10 year olds soldering self-built games consoles.
Hannah holds a MA in Natural Sciences from the University of Cambridge, and an MSc and PhD in Hydrogeology from University College London. She is a Chartered Geologist and Fellow of the Geological Society, and a Raspberry Pi Certified Educator.
Interesting fact
When Hannah used to teach computing to ten year olds, the children wrote Python programmes to run on a Raspberry Pi to measure temperature and warn when it was too hot or cold. The children’s code was sent to run in space measuring temperature on the International Space Station and displaying the outcome to the astronauts.
LinkedIn
Poster presentation
Smarter Suffolk: Sensors and data for public services
Download slides (.pdf)
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