Academic Profile
Primary Supervisor
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Harry Emerson
PhD Co-supervised by Matthew Guy
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Gavryel Martis
PhD co-supervised by Roberta Bernardi
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Thanaphon Suwannaphong
PhD co-supervised by Ian Craddock
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Dominika N Wojtczak
PhD co-supervised by Luisa Zuccolo and Claudia Peersman
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Yiwen Wu
PhD co-supervised by Weiru Liu and Kevin McAreavey
Past Students
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Dr. James Neve
PhD completed in 2022
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Dr. Will Leeney
PhD completed in 2024
Co-Supervisor
Past Students
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Dr. Alex Hepburn
PhD completed in 2022, co-supervised with Raul Santos Rodriguez
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Dr. Hongbo Bo
PhD completed in 2023, co-supervised with Weiru Liu and Jun Hong
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Dr. Joe Matthews
PhD completed in 2024, co-supervised with Angela Attwood and Hanna Kristiina Isotalus
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Dr. Holly Fraser
PhD passed in 2024, co-supervised with Rebecca Pearson and Brittany Davidson
Publications
| [71] |
Flexible blood glucose control: Offline reinforcement learning from human feedback.
arXiv preprint arXiv:2501.15972, 2025.
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| [70] |
Lightweight decentralized neural network-based strategies for multi-robot patrolling.
arXiv preprint arXiv:2412.11916, 2024.
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| [69] |
Optimising tinyml with quantization and distillation of transformer and mamba models for indoor localisation on edge devices.
arXiv preprint arXiv:2412.09289, 2024.
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| [68] |
Transfer learning of rssi to improve indoor localisation performance.
arXiv preprint arXiv:2412.09292, 2024.
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| [67] |
Leading the mastodon herd: Analysing the traits of influential leaders on a decentralised social media platform.
In 2024 IEEE International Conference on Big Data (BigData), pages 2939--2948. IEEE, 2024.
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| [66] |
Intrusion detection at the iot edge using federated learning.
In Security and Privacy in Smart Environments, pages 98--119. Springer Nature Switzerland Cham, 2024.
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| [65] |
An investigation into using unsupervised metrics to optimise gnns for node clustering.
arXiv preprint arXiv:2402.07845, 2024.
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| [64] |
A framework for exploring federated community detection.
4th workshop on Graphs and more Complex structures for Learning and Reasoning (GCLR), colocated with AAAI, 2024.
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| [63] |
A multimodal dataset of real world mobility activities in parkinson's disease.
Scientific data, 10(1):918, 2023.
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| [62] |
Multimodal indoor localisation in parkinson's disease for detecting medication use: Observational pilot study in a free-living setting.
In KDD '23: Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, pages 4273--4283. ACM, 2023.
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| [61] |
Automated real-world video analysis of sit-to-stand transitions predicts parkinson's disease severity.
Digital Biomarkers, 7(1):92--103, 2023.
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| [60] |
The safety challenges of deep learning in real-world type 1 diabetes management.
arXiv preprint arXiv:2310.14743, 2023.
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| [59] |
Offline reinforcement learning for safer blood glucose control in people with type 1 diabetes.
Journal of Biomedical Informatics, 142:104376, 2023.
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| [58] |
Ethical, political and epistemic implications of machine learning (mis) information classification: insights from an interdisciplinary collaboration between social and data scientists.
Journal of Responsible Innovation, 10(1):2222514, 2023.
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| [57] |
Uncertainty in gnn learning evaluations: A comparison between measures for quantifying randomness in gnn community detection.
Entropy, 26(1):78, 2024.
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| [56] |
Uncertainty in gnn learning evaluations: The importance of a consistent benchmark for community detection.
In International Conference on Complex Networks and Their Applications, pages 112--123. Springer Nature Switzerland Cham, 2023.
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| [55] |
Addressing contingency in algorithmic (mis) information classification: Toward a responsible machine learning agenda.
In Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, pages 971--971, 2023.
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| [54] |
Privacy in multimodal federated human activity recognition.
In 3rd On-Device Intelligence Workshop at MLSys 2023, 2023.
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| [53] |
What will make misinformation spread: An xai perspective.
In World Conference on Explainable Artificial Intelligence, pages 321--337. Springer Nature Switzerland Cham, 2023.
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| [52] |
Predicting interpersonal influence from conversational features.
In 2023 10th International Conference on Behavioural and Social Computing (BESC), pages 1--7. IEEE, 2023.
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| [51] |
A methodology for surveying gradients of influence on social media platforms using multi-media content.
In European Starting AI Researchers' Symposium, 2023.
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|
| [50] |
Characterising discourse and engagement across topics of misinformation on twitter.
IEEE Access, 2023.
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| [49] |
A comparative analysis of information cascade prediction using dynamic heterogeneous and homogeneous graphs.
In The 12th International Conference on Complex Networks and their Applications. Springer, 2023.
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| [48] |
Explainable ai for non-experts: Energy tariff forecasting.
In 2022 27th International Conference on Automation and Computing (ICAC), pages 1--6. IEEE, 2022.
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| [47] |
Self-supervised multimodal fusion transformer for passive activity recognition.
IET Wireless Sensor Systems, 12(5-6):149--160, 2022.
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| [46] |
Radio signal strength indication augmentation for one-shot learning in indoor localisation.
In Proceedings of the 1st ACM Workshop on Smart Wearable Systems and Applications, pages 7--12, 2022.
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| [45] |
Real-world sit-to-stand evaluation.
Movement Disorders, 37(S2):S195--S196, 2022.
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| [44] |
Resource-interaction graph: Efficient graph representation for anomaly detection.
arXiv preprint arXiv:2212.08525, 2022.
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| [43] |
Self-supervised wifi-based activity recognition.
In 2022 IEEE Globecom Workshops (GC Wkshps), pages 552--557. IEEE, 2022.
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| [42] |
Operanet, a multimodal activity recognition dataset acquired from radio frequency and vision-based sensors.
Scientific Data, 9, 2022.
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| [41] |
Ego-graph replay based continual learning for misinformation engagement prediction.
In 2022 International Joint Conference on Neural Networks (IJCNN), 2022.
|
| [40] |
Multimodal indoor localisation for measuring mobility in parkinson's disease using transformers.
2022.
|
| [39] |
Offline reinforcement learning for safer blood glucose control in people with type 1 diabetes.
2022.
|
| [38] |
Mumin: A large-scale multilingual multimodal fact-checked misinformation social network dataset.
In Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR). ACM, 2022.
|
| [37] |
Temporal self-supervised learning for rssi-based indoor localization.
In ICC 2022 - IEEE International Conference on Communications, pages 3046--3051, 2022.
|
| [36] |
Exploring perceptions of cross-sectoral data sharing with people with parkinson's.
CHI Conference on Human Factors in Computing Systems (CHI'22), 2022.
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| [35] |
Outdoor localization using ble rssi and accessible pedestrian signals for the visually impaired at intersections.
Sensors, 22(1), 2022.
|
| [34] |
Reinforcement learning with feedback from multiple humans with diverse skills.
NeurIPS 2021 Workshop on Safe and Robust Control of Uncertain Systems, 2021.
|
| [33] |
Container escape detection for edge devices.
Proceedings of the 19th ACM Conference on Embedded Networked Sensor Systems, 2021.
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| [32] |
Are microcontrollers ready for deep learning-based human activity recognition?
Electronics, 10(21), 2021.
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| [31] |
Operanet: A multimodal activity recognition dataset acquired from radio frequency and vision-based sensors.
2021.
|
| [30] |
Photos are all you need for reciprocal recommendation in online dating.
arXiv, 2021.
|
| [29] |
Multimodal classification of parkinson's disease in home environments with resiliency to missing modalities.
Sensors, 21(12), 2021.
|
| [28] |
Self-supervised wifi-based activity recognition.
arXiv, 2021.
|
| [27] |
Social influence prediction with train and test time augmentation for graph neural networks.
In 2021 International Joint Conference on Neural Networks (IJCNN), 2021.
|
| [26] |
Data labelling in the wild: Annotating free-living activities and parkinson's disease symptoms.
In 2021 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops), 2021.
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| [25] |
Vesta: A digital health analytics platform for a smart home in a box.
Future Generation Computer Systems, 114:106 -- 119, 2021.
|
| [24] |
Walter Maetzler, Helen Matthews, Oliver Watson, Rachel Eardley, and Alan L
Whone.
Protocol for pd sensors: Parkinsons disease symptom evaluation in a naturalistic setting producing outcome measures using sphere technology. An observational feasibility study of multi-modal multi-sensor technology to measure symptoms and activities of daily living in parkinson's disease.
BMJ Open, 10(11), 2020.
|
| [23] |
Imrec: Learning reciprocal preferences using images.
In Fourteenth ACM Conference on Recommender Systems, RecSys '20, page 170–179, New York, NY, USA, 2020. Association for Computing Machinery.
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| [22] |
Low cost localisation in residential environments using high resolution cir information.
In 2020 IEEE Global Communications Conference (GLOBECOM), Taipei, Taiwan, 2020, pages 1--6, United States, August 2020. Institute of Electrical and Electronics Engineers (IEEE).
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| [21] |
Energy-efficient activity recognition framework using wearable accelerometers.
Journal of Network and Computer Applications, 168:102770, 2020.
|
| [20] |
N2d:(not too) deep clustering via clustering the local manifold of an autoencoded embedding.
In 25th International Conference on Pattern Recognition, ICPR 2020. IEEE Computer Society, 2020.
|
| [19] |
Translation resilient opportunistic wifi sensing.
In 25th International Conference on Pattern Recognition, ICPR 2020. IEEE Computer Society, 2020.
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| [18] |
Perceptnet: A human visual system inspired neural network for estimating perceptual distance.
estimating perceptual distance.
In The 27th IEEE International Conference on Image Processing (ICIP 2020), 2020.
|
| [17] |
Social influence prediction with train and test time augmentation for graph neural networks.
In Companion Proceedings of the Web Conference 2020, WWW '20, page 379–384, New York, NY, USA, 2020. Association for Computing Machinery.
|
| [16] |
Online Feature Selection for Activity Recognition using Reinforcement Learning with Multiple Feedback.
page arXiv:1908.06134, Aug 2019.
|
| [15] |
Enforcing perceptual consistency on generative adversarial networks by using the normalised laplacian pyramid distance.
In Proceedings of the Northern Lights Deep Learning Workshop 2020, volume 1. Septentrio Academic Publishing, February 2020.
|
| [14] |
A dataset for room level indoor localization using a smart home in a box.
Data in Brief, 22:1044 -- 1051, 2019.
|
| [13] |
Energy efficiency in reinforcement learning for wireless sensor networks.
In Green Data Mining, 6 2018.
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| [12] |
Proper losses for learning with example-dependent costs.
In Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2018). CEUR Workshop Proceedings, 6 2018.
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| [11] |
Online heart rate prediction using acceleration from a wrist worn wearable.
In KDD Workshop on Machine Learning for Medicine and Healthcare, 8 2018.
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| [10] |
Niall Twomey, Tom Diethe, Xenofon Fafoutis, Atis Elsts, Ryan McConville, Peter Flach, and Ian Craddock.
A comprehensive study of activity recognition using accelerometers.
Informatics, 5(2), 6 2018.
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| [9] |
Person identification and discovery with wrist worn accelerometer data.
In Proceedings of the European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, 2018, pages 615--620, 3 2018.
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| [8] |
Vertex deduplication based on string similarity and community membership.
In Complex Networks and Their Applications VI - Proceedings of Complex Networks 2017 (The 6th International Conference on Complex Networks and Their Applications), volume 689 of Studies in Computational Intelligence, pages 178--189. Springer-Verlag Berlin, 2018.
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| [7] |
On-board feature extraction from acceleration data for activity recognition.
In Proceedings of the International Conference on Embedded Wireless Systems and Networks, pages 163--168, United States, 12 2017. Association for Computing Machinery (ACM).
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| [6] |
Understanding the quality of calibrations for indoor localisation.
In 2018 IEEE 4th World Forum on Internet of Things (WF-IoT 2018), United States, 11 2017. Institute of Electrical and Electronics Engineers (IEEE).
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| [5] |
Album cover generation from genre tags.
In 10th International Workshop on Machine Learning and Music, 10 2017.
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| [4] |
Sphere in a box: Practical and scalable eurvalve activity monitoring smart home kit.
In 2017 IEEE 42nd Conference on Local Computer Networks Workshops (LCN Workshops 2017), pages 128--135, United States, 10 2017. Institute of Electrical and Electronics Engineers (IEEE).
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| [3] |
Censorship and surveillance in the digital age: The technological
challenges for academics.
Journal of Global Security Studies, 1(4):346--355, 11 2016.
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| [2] |
Accelerating large scale centroid-based clustering with locality sensitive hashing.
In 2016 IEEE 32nd International Conference on Data Engineering (ICDE 2016), pages 649--660, United States, 8 2016. Institute of Electrical and Electronics Engineers (IEEE).
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| [1] |
Vertex clustering of augmented graph streams.
In Proceedings of the 2015 SIAM International Conference on Data Mining (SDM 2015), pages 109--117, United States, 3 2015. Society for Industrial and Applied Mathematics.
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