Thomas Johnson is an Academic Associate in the Department of Computer Science within the School of Science and Technology. In this role he splits his time between teaching as a part-time lecturer and working towards a part-time PhD in Pervasive Computing and Data Science.
Thomas is involved in teaching the following modules:
- Degree Apprenticeship:
- Mobile Platform Applications
- Database Eng & Internet Application Programming
- Level 4
- Essential Skills (Web)
- Systems Analysis and Design
- Foundation of Comp & Tech (Python Programming and Tech)
- Level 5
- Internet Applications Development
- Internet Applications Programming
He also supervises project work of Level 6 BSc students.
Thomas was awarded a BSc. (Hons) Information and Communications Technology in 2016 and a MSc Computing Systems in 2017 both from Nottingham Trent University. He went on to be awarded in 2018 a PGCE in Primary Education within the Wider Curriculum with Qualified Teaching Status (QTS) from the University of Derby.
In 2019, he returned to Nottingham Trent University as an Academic Associate in the Department of Computer Science.
A full list of publications: https://www.researchgate.net/profile/Thomas-Johnson-43
- Johnson T., Kanjo E., & Woodward, K. (2021) DigitalExposome: Quantifying the Urban Environment Influence on Wellbeing based on Real-Time Multi-Sensor Fusion and Deep Belief Network. (Preprint)
- Woodward, K., Kanjo, E., Anderez, D. O., Anwar, A., Johnson, T., & Hunt, J. (2020). DigitalPPE: Low cost wearable that acts as a social distancingreminder and contact tracer: Poster abstract. SenSys 2020 - Proceedings of the 2020 18th ACM Conference on Embedded Networked Sensor Systems. https://doi.org/10.1145/3384419.3430600
- Johnson T, Kanjo E, Woodward, K. (2020) Sensor Data and the City: Urban Visualisation and Aggregation of Well-Being Data. (Preprint)
Johnson T., Kanjo E., & Woodward, K. (2021) Real-time Environmental Changes Impacts Mental Wellbeing. (Published February 2021)