Role
Thomas Johnson is a Lecturer in the Department of Computer Science within the School of Science and Technology.
His teaching includes Level 5 Internet Applications Development, Level 5 Mobile Platform Applications (Degree Apprenticeship), Level 6 Mobile Platform Applications & Level 6 Mobile Platform Development. He also supervises Level 6 BSc students and MSc students.
Thomas also coordinates and manages the Department's Outreach provision working with local primary and secondary schools.
Career overview
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 with Qualified Teaching Status (QTS) from the University of Derby.
He joined Nottingham Trent University in September 2019 as an Academic Associate and was elevated to Lecturer in 2022 in the Department of Computer Science.
More information about Tom's research are available from his Linkedin, Twitter and ResearchGate
Research areas
PhD project title: DigitalExposome: A Multimodal Sensor Fusion Approach to Study the Impact of the Environment on Momentary Mental Wellbeing
Director of Studies: Professor. Eiman Kanjo
2nd Supervisor: Professor. Saeid Sanei
Thomas is part of the Smart Sensing Lab team.
Real-time Environmental Changes impacts Mental Wellbeing
https://airqualitynews.com/2021/02/24/real-time-environmental-changes-impacts-mental-wellbeing/
External activity
TinyML EMEA Innovation Forum. Poster presentation - TinyDigitalExposome: The Opportunities of Multimodal Urban Environmental Data and Mental Wellbeing on Constrained Microcontrollers. (June 2023)
STEM for Britain. Selected as a finalist in the competition held at Houses of Parliament - Engineering category. (March 2023)
Invited talk at Clean Air Research Futures Group (CARFG): "Making it personal - will small / portable sensors transform air pollution management and research?” (October 2021)
IEEE International Smart Cities Conference: Sensor Fusion and The City: Visualisation and Aggregation of Environmental & Wellbeing Data (September 2021).
Publications
A full list of publications can be found at: https://www.researchgate.net/profile/Thomas-Johnson-43
- Johnson, T., Kanjo, E. & Woodward, K. DigitalExposome: quantifying impact of urban environment on wellbeing using sensor fusion and deep learning. Computational Urban Science Journal. 3, 14 (2023). https://doi.org/10.1007/s43762-023-00088-9
- Johnson, T., Kanjo E,. (2023) Urban Wellbeing: A Portable Sensing Approach to Unravel the Link Between Environment and Mental Wellbeing. IEEE Sensors Letters Journal. https://ieeexplore.ieee.org/document/10041800
- Johnson T., Kanjo E,. (2023) Episodes of Change: Emotion Change in Semantic Trajectories of Multimodal Sensor Data. The 21st International Conference on Pervasive Computing and Communications (PerCom 2023: EmotionAware Workshop).
- Johnson T., Kanjo E. (2023) Designing an Interactive Mobile Assessment Tool to Quantify Impact of the Environment on Wellbeing. Proceedings of the 2023 HCII Conference.
- Johnson T., Kanjo E. (2021) Sensor Fusion and The City: Visualisation and Aggregation of Environmental & Wellbeing Data. Proceedings of the 2021 IEEE International Smart Cities Conference.
- Woodward, K., Kanjo, E., Anderez, D. O., Anwar, A., Johnson, T., & Hunt, J. (2020). DigitalPPE: Low cost wearable that acts as a social distancing reminder 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
Magazines:
Johnson T., Kanjo E., & Woodward, K. (2021) Real-time Environmental Changes Impacts Mental Wellbeing. (Published February 2021)