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)
My 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