Valentin Radu


University of Edinburgh
Informatics Forum, room 1.02
10 Crichton Street
Edinburgh EH8 9AB, UK

Phone: +44 131 651 4161

About me

I am a Research Associate at the University of Edinburgh working in the Horizon 2020 EU project, Bonseyes, looking into accelerating the execution of deep neural networks on resource-constrained devices. I obtained my PhD under the supervison of Dr. Mahesh K. Marina at the University of Edinburgh, Institute of Computer Systems and Architecture (ICSA).

My research interests are in:
  • accelerating deep neural networks running on resource-constrained heterogeneous systems
  • machine learning for context understanding
  • localization and tracking with mobile devices
  • low-energy computer vision systems
  • low-energy audio systems


  • [IISWC'18] Characterising Across-Stack Optimisations for Deep Convolutional Neural Networks
    J. Turner, J. Cano, V. Radu, E. J. Crowley, M. O'Boyle, and A. Storkey
    In the International Symposium on Workload Characterization (IISWC), IEEE, North Carolina, USA, September 2018.
  • [IMWUT'17] Multimodal Deep Learning for Activity and Context Recognition
    Valentin Radu, Catherine Tong, Sourav Bhattacharya, Nicholas D. Lane, Cecilia Mascolo, Mahesh K. Marina, Fahim Kawsar
    In the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies: Volume 1 Issue 4, December 2017.
    [DOI] [PDF]
  • [UbiComp'16] Towards Multimodal Deep Learning for Activity Recognition on Mobile Devices
    Valentin Radu, Nicholas D. Lane, Sourav Bhattacharya, Cecilia Mascolo, Mahesh K. Marina, Fahim Kawsar
    In the Joint Conference on Pervasive and Ubiquitous Computing (UbiComp/ISWC'16) Adjunct, ACM, September 2016, Heidelberg, Germany.
    [DOI] [PDF] [bib]
  • [ATC'15] Impact of Indoor-Outdoor Context on Crowdsourcing based Mobile Coverage Analysis
    Mahesh K. Marina, Valentin Radu, Konstantinos Balampekos
    In All Things Cellular Workshop (ATC) collocated with SIGCOMM'15, ACM, August 2015, London, UK.
    [DOI] [PDF] [bib]
  • [SenSys'14] A Semi-Supervised Learning Approach for Robust Indoor-Outdoor Detection with Smartphones
    Valentin Radu, Panagiota Katsikouli, Rik Sarkar and Mahesh K. Marina
    In the Conference on Embedded Networked Sensor Systems (SenSys), ACM, November 2014, Memphis, USA.
    [DOI] [PDF] [bib]
  • [MobiCom'14] Poster: Am I Indoor or Outdoor?
    Valentin Radu, Panagiota Katsikouli, Rik Sarkar, Mahesh K. Marina
    In the 20th Annual International Conference on Mobile Computing and Networking (MobiCom), ACM, September 2014, Hawaii, USA.
    [DOI] [PDF] [bib] [poster]
  • [IPIN'13] HiMLoc: Indoor Smartphone Localization via Activity Aware Pedestrian Dead Reckoning with Selective Crowdsourced WiFi Fingerprinting - Nominated for Best Paper Award
    Valentin Radu, Mahesh K. Marina
    In the 4th International Conference on Indoor Positioning and Indoor Navigation (IPIN), IEEE, October 2013, Belfort-Montbeliard, France.
    [DOI] [PDF] [bib]
  • [CNSM'13] Pazl: A Mobile Crowdsensing based Indoor WiFi Monitoring System
    Valentin Radu, Lito Kriara, Mahesh K. Marina
    In the 9th International Conference on Network and Service Management (CNSM), IEEE, October 2013, Zurich, Switzerland.
    [DOI] [PDF] [bib] [Presentation]
  • [SICSA'13] Poster: Enhancing mobile crowd-sensing for indoor space characterization (WiFi monitoring)
    Valentin Radu
    In the 5th Annual SICSA PhD Conference, June 2013, Stirling, UK.
  • [MobiSys'12] Poster: A hybrid approach for indoor mobile phone localization
    Valentin Radu, Jiwei Li, Lito Kriara, Mahesh K. Marina, Richard Mortier
    In the 10th International Conference on Mobile Systems, Applications, and Services (MobiSys), ACM, June 2012, Lake District, UK.
    [DOI] [bib] [poster]