Things of the Internet (ToI): Physicalization of Notification Data. - Kieran Woodward; Eiman Kanjo (UbiComp/ISWC Adjunct, 2018)

EmoEcho: A Tangible Interface to Convey and Communicate Emotions. - Kieran Woodward; Eiman Kanjo; Samuel Burton; Andreas Oikonomou (UbiComp/ISWC Adjunct, 2018)

Harnessing digital phenotyping to deliver real-time interventional bio-feedback. - Kieran Woodward; Eiman Kanjo; Muhammad Umair; Corina Sas (UbiComp/ISWC Adjunct, 2019)

AI-Powered Tangible Interfaces to Transform Children's Mental Well-Being. - Kieran Woodward; David J. Brown 001; Eiman Kanjo (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2019)

Challenges of Designing and Developing Tangible Interfaces for Mental Well-being. - Kieran Woodward; Eiman Kanjo; David J. Brown 001 (CoRR, 2019)

LabelSens: Enabling Real-time Sensor Data Labelling at the point of Collection on Edge Computing. - Kieran Woodward; Eiman Kanjo; Andreas Oikonomou (CoRR, 2019)

TangToys: smart toys to communicate and improve children's wellbeing. - Kieran Woodward; Eiman Kanjo; David J. Brown 001; Becky Inkster (UbiComp/ISWC Adjunct, 2020)

DigitalPPE: low cost wearable that acts as a social distancingreminder and contact tracer: poster abstract. - Kieran Woodward; Eiman Kanjo; Dario Ortega Anderez; Amna Anwar; Thomas Johnson; John Alan Hunt (SenSys, 2020)

On-Device Transfer Learning for Personalising Psychological Stress Modelling using a Convolutional Neural Network. - Kieran Woodward; Eiman Kanjo; David J. Brown 001; T. M. McGinnity (CoRR, 2020)

Sensor Data and the City: Urban Visualisation and Aggregation of Well-Being Data. - Thomas Johnson; Eiman Kanjo; Kieran Woodward (CoRR, 2020)

TangToys: Smart Toys that can Communicate and Improve Children's Wellbeing. - Kieran Woodward; Eiman Kanjo; David J. Brown 001; Becky Inkster (CoRR, 2020)

Combining Deep Transfer Learning with Signal-image Encoding for Multi-Modal Mental Wellbeing Classification. - Kieran Woodward; Eiman Kanjo; Athanasios Tsanas (CoRR, 2020)

LabelSens: enabling real-time sensor data labelling at the point of collection using an artificial intelligence-based approach. - Kieran Woodward; Eiman Kanjo; Andreas Oikonomou; Alan Chamberlain (Pers. Ubiquitous Comput., 2020)

Towards the use of IoT and AI for Pervasive Exergames. - Kieran Woodward; Eiman Kanjo; Will Parker (GCAIoT, 2021)

Towards Personalised Mental Wellbeing Recognition On-Device using Transfer Learning "in the Wild". - Kieran Woodward; Eiman Kanjo; David J. Brown 001; T. M. McGinnity (ISC2, 2021)

DigitalExposome: Quantifying the Urban Environment Influence on Wellbeing based on Real-Time Multi-Sensor Fusion and Deep Belief Network. - Thomas Johnson; Eiman Kanjo; Kieran Woodward (CoRR, 2021)

DropAR: Enriching Exergaming Using Collaborative Augmented Reality Content. - Kieran Woodward; Eiman Kanjo; Will Parker (HCI (33), 2022)

Beyond Mobile Apps: A Survey of Technologies for Mental Well-Being. - Kieran Woodward; Eiman Kanjo; David J. Brown 001; T. M. McGinnity; Becky Inkster; Donald J. Macintyre; Athanasios Tsanas (IEEE Trans. Affect. Comput., 2022)

Co-creating an Object Recognition Exergame with Hospital Service Users to Promote Physical Activity. - Kieran Woodward; Eiman Kanjo; Will Parker (HCI (11), 2023)

Tag in the Park: Paving the Way for Proximity-Based AI Pervasive Games. - Eiman Kanjo; Kieran Woodward (IEEE Commun. Mag., 2023)

In the hands of users with intellectual disabilities: co-designing tangible user interfaces for mental wellbeing. - Kieran Woodward; Eiman Kanjo; David J. Brown 001; T. M. McGinnity; Gordon Harold (Pers. Ubiquitous Comput., 2023)

Emotion on the Edge: Air Quality Sensors Decoded as a Real-World Emotion Indicator. - Thomas Johnson; Kieran Woodward; Eiman Kanjo (PerCom Workshops, 2024)

The MEMO Project Inscription App: Fostering Community Engagement on Biodiversity Loss. - Kieran Woodward; Thomas Johnson; Bradley Patrick; Michael Gibbs; Amna Anwar; Eiman Kanjo; Jenny Wüstenberg (Interactions, 2024)

Combining Multiple Tiny Machine Learning Models for Multimodal Context-Aware Stress Recognition on Constrained Microcontrollers. - Michael Gibbs; Kieran Woodward; Eiman Kanjo (IEEE Micro, 2024)

Combining Deep Learning with Signal-image Encoding for Multi-Modal Mental Wellbeing Classification. - Kieran Woodward; Eiman Kanjo; Athanasios Tsanas (ACM Trans. Comput. Heal., 2024)

Parallel Feature Fusion for Multimodal Scene Recognition on Dual-Core MCUs. - Kieran Woodward; Eiman Kanjo (IEEE Pervasive Comput., 2025)

Enviro-IoT: Calibrating Low-Cost Environmental Sensors in Urban Settings. - Thomas Johnson; Kieran Woodward (CoRR, 2025)

A Hybrid Edge Classifier: Combining TinyML-Optimised CNN with RRAM-CMOS ACAM for Energy-Efficient Inference. - Kieran Woodward; Eiman Kanjo; Georgios Papandroulidakis; Shady Agwa; Themis Prodromakis (CoRR, 2025)