Eiman is currently an Associate Professor in Pervasive Computing and DataScience for the Computing and Technology Department at NTU. She conducts research in the areas of Mobile Sensing, Pervasive Computing, Tech for Wellbeing and Data Science.
Prof. Kanjo and her team are currently active in many projects (funded by DCMS, InoovateUK, ESRC eNurture , UCL Dawe Center for Future, DSTL and others funded by industry) linked to IoT, AI on Edge, wearable technologies, apps and software for Wellbeing, she also leads the technical development of the Smart Campus project and is the academic lead for Smart Nottingham. Previously Prof. Kanjo worked in Mobile Sensing at the Computer Laboratory, University of Cambridge, and was a member of the Cambridge eScience Centre(CeSC). Prof. Kanjo carried out research work at the Mixed Reality Lab (MRL), Computer Science, at the University of Nottingham, in the area of Pervasive Computing and location-based applications.
Our many years of experience of working with healthcare and end-user organisations, along with our extensive experience in Hardware, Software and Data Analytics development, gives us confidence in delivering innovative and low cost technological solutions that adhere to ethical codes of practice and data privacy laws.
Prof. Eiman Kanjo
Current Research Areas & Activities
Digital PPE: Social Distancing and Contact Tracing wearable for staff and students safety.
eFidGet: Smart Real-Time Tangible Interface to tackle affective mental health conditions including Stress.
Developing Tools using Internet of Things and Data Science for Crime Prevention, in Collaboration with UCL Dawes Centre for Future Crime.
Mental Health Social Network Analysis using NLP and Graph Networks (in Collaboration with Alan Turing Institute).
Prototyping TangToys (Tangible Toys to Improve Mental Health).
Assessment Of Human Performance For Human-Autonomy Teaming, Intelligent Ship call DSTL.
Mobile and sensing technologies
Data Science, AI, Data analytics and Visualisation
Technologies for Wellbeing
Pervasive Environmental and Pollution Monitoring
Edge Computing and Internet of Things
Visualisation and Mapping, Spatial Analysis
Tagging and Proximity Detection
Affective computing, Emotion Monitoring & Mapping
K Woodward, E Kanjo, D Brown, M McGinnity, B Inkster, D Macintyre, Athanasios Tsanas, Beyond Mobile Apps: a Survey of Technologies for Mental Well-being” in IEEE Transactions on Affective Computing, vol. , no. 01, pp. 1-1, 5555.doi:10.1109/TAFFC.2020.3015018.
Dario Ortega Anderez, Eiman Kanjo, Ganna Pogrebna, Shane Johnson, John Alan Hunt:
A Modified Epidemiological Model to Understand the Uneven Impact of COVID-19 on Vulnerable Individuals and the Approaches Required to Help them Emerge from Lockdown, Sensors August 2020.
Kieran Woodward, Eiman Kanjo, Andreas, Oikonomou, Alan Chamberlain, LabelSens: enabling real-time sensor data labelling at the point of collection using an artificial intelligence-based approach. Pers Ubiquit Comput (2020).
Eiman Kanjo, Jim Ang, Deep Learning Analysis of Mobile Physiological, Environmental and Location Sensor Data for Emotion Detection. Information Fusion (AI) Journal, online, 2019.
Eiman Kanjo, M.G. Younis, Nasser Sherkat Towards unravelling the relationship between on-body, environmental and emotion data using sensor information fusion approach, Information Fusion, Volume 40, 2018, Pages 18-31, ISSN 1566-2535,
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