Joint work with Hongrui Shi, "Data selection for efficient model update in federated learning".
Joint work with Xijia Wei and Zhiqiang Wei, "Sensor-Fusion for Smartphone Location Tracking Using Hybrid Multimodal Deep Neural Networks".
Joint work with Josh Barrows, Matthew Hill and Fabio Ciravegna, "Active Learning with Data Distribution Shift Detection for Updating Localization Systems".
Joint work with Xijia Wei, Zhiqiang Wei, "MM-Loc: Cross-sensor Indoor Smartphone Location Tracking using Multimodal Deep Neural Networks".
Joint work with Hongrui Shi (University of Sheffield), "Towards Federated Learning with Attention Transfer to mitigate System and Data Heterogeneity of Clients".
Joint work with Rik Mulder (University of Edinburgh) and Christophe Dubach (McGill University), "Fast Optimisation of Convolutional Neural Network Inference using System Performance Models".
Joint work with David Strömbäck (University of Edinburgh) and Sangxia Huang (Sony Sweden), "MM-Fit: Multimodal Deep Learning for Automatic Exercise Logging Across Sensing Devices"
Our team in Edinburgh, in collaboration with colleagues at Trinity College Dublin and University of Glasgow - "Performance Aware Convolutional Neural Network Channel Pruning for Embedded GPUs"
Joint work with Maximilian Henne (University of Edinburgh) - "Vision2Sensor: Knowledge Transfer Across Sensing Modalities for Human Activity Recognition"
"The idea is quite interesting as it tackles one of the main challenges of the Ubicomp community when it comes to HAR: the annotation of data." (Anonymous Reviewer)
"Calibrating Recurrent Neural Networks on Smartphone Inertial Sensors for Location Tracking", with Xijia Wei (University of Edinburgh); and "CamLoc: Pedestrian Location Estimation through Body Pose Estimation on Smart Cameras", with Adrian Cosma (University Politehnica of Bucharest) and Ion Emilian Radoi (University Politehnica of Bucharest)
Our research brings intelligence to many of these ubiquitous devices.
I have had the pleasure of working with some amazing people in the Ubiquitous AI Lab:
MSc thesis (2020): Anomaly Detection in Sensor Data through Multimodal Deep Neural Networks
MSc thesis (2019): Multimodal Learning for Automatic Exercise Logging (Best Thesis Awared)
MSc thesis (2019): Efficient Motility Characterization at the Edge
MSc thesis (2019): Multi-task Neural Architecture Search for Edge Computing
MSc thesis (2018): "WiFi-based Indoor Localization using Deep Neural Networks on Smartphones"
MSc thesis (2018): "Smartphone-based Location Tracking using Recurrent Neural Networks"
MSc thesis (2018): "Automatic Ground-truth Collection in Mobile Systems Through Multimodal Sensing"
The full list is on Google Scholar