EPSRC TinyML UK Network is funded by EPSRC and led by Prof. Eiman Kanjo, Nottingham Trent Univeristy in collaboration with the Southampton Univeristy
and Imperial College London.
Network Leadership Team
Prof. Eiman Kanjo
Professor of TinyML and Pervasive Sensing
Nottingham Trent University & Imperial College London
Network Lead
Prof. Geoff Merrett
Professor of Electronic and Software Systems
University of Southampton
Network Co-Lead
Prof. Pantelis Georgiou
Professor of Biomedical Electronics
Imperial College London
Network Co-Lead
Network Manager
We are hiring
Contact Us
eiman.kanjo@ntu.ac.uk
Social Media
https://www.linkedin.com/company/epsrcgreenplus/
News
See the latest news for Green+ Network.
2026
Network Launch Event
Watch out for our launch event in 2026
June 2025
EPSRC Green+ Network'a Press Release'
Embedding AI and smart technologies in green spaces to enhance physical and mental health and wellbeing. A new project will seek to introduce cutting-edge AI and smart technologies to green spaces across the UK, helping to redefine how people engage with nature while enhancing visitors’ wellbeing.NTU Press Release.
Events
See the latest events for Green+ Network.
2026
Network Launch Event
Watch out for our launch event in 2026
EPSRC Green+ Network
http://swww.greenplus.uk
Category:
Techncology
ESPRC TinyML UK Network
Comping Soon
In Partnership with:
Edge AI Foundations
Prof. Eiman Kanjo
eiman.kanjo@ntu.ac.uk
Professor of Pervasive Sensing
Prof. Kanjo is currently a Professor of TinyML &Pervasive Sensing She is currently the director of the EPSRC Green+ Network and the director of the EPSRC TinyML UK network, and Co-lead of EPSRC ProSensing project. She is the Provost Visiting Professor at Imperial College London, Computing Department. Eiman was recognised as one of the top women in Engineering by Women in Engineering Society.
Prof. Kanjo was first to coin the phrase 'Mobile Sensing' and wrote some of the earliest papers on the subject (
GeoMobSens and
Mobsens). She also built the first noise monitoring system using the phone-based microphone (NoiseSpy). Her current work
(EnvBodySens) on studying and quantifying the impact of Environment on wellbeing using Mobile Sensing,
Deep Learning,
Data Science and AI, complements her work on Urban Computing in order to make sense of a place (
NeuroPlace,
ShopMobia).
Eiman is also an expert in developing
digital technologies for Mental Health and she has been involved in a wide range of projects in this area, including
(NotiMind). She works closely with Mental Health networks and charities and currently developing novel Fidgeting Interfaces to reduce Anxiety and Stress among adult and
school children. She often employs data science and
on-device processing (on Edge Computing) to create privacy preserving pervasive tools that can transform wellbeing.
Eiman's team is active in developing tools and solutions to minimise the risk of COVID19, and recently developed a low-cost wearable for
social distancing and contact tracing.