[May 2022] Paper accepted at EuroMLSys, 2022.

Joint work with Hongrui Shi, "Data selection for efficient model update in federated learning".

[Nov. 2021] Paper accepted at Sensors.

Joint work with Xijia Wei and Zhiqiang Wei, "Sensor-Fusion for Smartphone Location Tracking Using Hybrid Multimodal Deep Neural Networks".

[Jun. 2021] Two papers accepted at IPIN, 2021.

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".

[Apr. 2021] Paper accepted at EdgeSys, collocated with EuroSys 2021.

Joint work with Hongrui Shi (University of Sheffield), "Towards Federated Learning with Attention Transfer to mitigate System and Data Heterogeneity of Clients".

[Mar. 2021] Paper accepted at EuroMLSys, collocated with EuroSys 2021.

Joint work with Rik Mulder (University of Edinburgh) and Christophe Dubach (McGill University), "Fast Optimisation of Convolutional Neural Network Inference using System Performance Models".

[Mar. 2021] I became a member of HiPEAC, the center of excellence in research for the future of computing systems in Europe.

[Mar. 2021] I became a member of the Insigneo Institute for in silico Medicine.

[Dec. 2020] We released the MM-Fit dataset that accompanies our IMWUT paper.

Let us know if you find this useful and we can spotlight your research on our project website.

[Oct. 2020] Paper accepted to appear in ACM IMWUT, vol. 4, issue 4 and to be presented at Ubicomp 2021.

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"

[Aug. 2020] I joined the University of Sheffield as a Lecturer in the Department of Computer Science.

[Jul. 2020] We're organising the 3^rd Workshop on Accelerated Machine Learning (AccML) at HiPEAC 2021, Budapest

[Aug. 2019] Paper accepted to be presented at IISWC 2019.

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"

[Jul. 2019] We're organising the Accelerated Machine Learning (AccML) workshop at HiPEAC 2020, Bologna ("the largest computing systems research event in Europe").

Co-organising with colleagues at University of Glasgow, DeepMind and Google. Consider presenting your work with us!

[Jul. 2019] Paper accepted to appear in ACM IMWUT, vol. 3, issue 3 and to be presented at Ubicomp 2019.

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)

[Jul. 2019] 2 papers accepted to be presented at IPIN 2019. See you in Pisa, Italy

"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)