Dr Valentin Radu

Department of Computer Science

Visiting academic

Member of the Organisations, Information and Knowledge (OAK) research group

v.radu@sheffield.ac.uk

Regent Court (DCS)

Full contact details

Dr Valentin Radu
Department of Computer Science
Regent Court (DCS)
211 Portobello
Sheffield
S1 4DP

Profile: Valentin joined the Department of Computer Science in August 2020. Before that he was a postdoctoral researcher at the University of Edinburgh, exploring deep learning optimisation for efficient inference on edge computing devices. He received his PhD in 2017 from the University of Edinburgh, where he researched intelligent mobile systems for sensing applications. His research has been influenced by his visits at the University of Cambridge, in the Mobile Systems Group (2016), Intel R&D Ireland (2017) and Samsung (2015).

Research interests

Publications

Wei X, Wei Z & Radu V (2021) Sensor-fusion for smartphone location tracking using hybrid multimodal deep neural networks. Sensors, 21(22).
Strömbäck D, Huang S & Radu V (2020) MM-Fit. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 4(4), 1-22.

Shi H & Radu V (2021) Towards Federated Learning with Attention Transfer to Mitigate System and Data Heterogeneity of Clients. EdgeSys 2021 - Proceedings of the 4th International Workshop on Edge Systems, Analytics and Networking, Part of EuroSys 2021 (pp 61-66)
Mulder R, Radu V & Dubach C (2021) Fast Optimisation of Convolutional Neural Network Inference using System Performance Models (pp 104-110)
Barrows J, Radu V, Hill M & Ciravegna F () Active Learning with Data Distribution Shift Detection for Updating Localization Systems. 2021 International Conference on Indoor Positioning and Indoor Navigation (IPIN), 29 November 2021.

Department of Computer Science