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!DOCTYPE html>html langen>head>meta charsetUTF-8>meta http-equivX-UA-Compatible contentIEEdge>meta namedescription contentValentin Radu>meta namekeywords contentValentin Radu>meta nameauthor contentValentin Radu>meta nameviewport contentwidthdevice-width, initial-scale1, maximum-scale1>title>Valentin Radu - Homepage/title>link relstylesheet hrefcss/bootstrap.min.css>link relstylesheet hrefcss/animate.css>link relstylesheet hrefcss/font-awesome.min.css>link relstylesheet hrefcss/valentin-style.css>link relicon typeimage/png sizes32x32 hrefhttps://www.sheffield.ac.uk/polopoly_fs/15.375.1603220905!/assets/images/favicon.ico />link hrefhttps://fonts.googleapis.com/css?familySource+Sans+Pro:300,400,700 relstylesheet>/head>body data-spyscroll data-target.navbar-collapse data-offset50>!-- PRE LOADER -->!--div classpreloader>     div classspinner>          span classspinner-rotate>/span>     /div>/div>-->!-- Navigation Section -->div classnavbar navbar-fixed-top custom-navbar rolenavigation>     div classcontainer>          !-- navbar header -->          div classnavbar-header>               button classnavbar-toggle data-togglecollapse data-target.navbar-collapse>                    span classicon icon-bar>/span>                    span classicon icon-bar>/span>                    span classicon icon-bar>/span>               /button>               !--a href# classnavbar-brand top-nav-collapse>Valentin Radu/a>-->          /div>          div classcollapse navbar-collapse>               ul classnav navbar-nav navbar-right>                    li>a href#home classsmoothScroll>About/a>/li>                    li>a href#news classsmoothScroll>News/a>/li>                    li>a href#group classsmoothScroll>Research Team/a>/li>                    li>a href#publications classsmoothScroll>Publications/a>/li>!--                    li>a href#experience classsmoothScroll>Media/a>/li>-->                    li>a href#contact classsmoothScroll>Contact/a>/li>               /ul>          /div>     /div>/div>!-- Home Section -->section idhome classparallax-section bg-light-blue>     div classcontainer>          div classrow>               div classcol-md-1>/div>               div classcol-md-3 col-sm-4>               !--div classcol-md-4>-->                    div classhome-img>/div>                    !--img srcimages/valentin_radu3.jpg width90%/>-->               /div>               div classcol-md-8 col-sm-8>                    div classhome-thumb>                         div classsection-title>                              h1 classwow fadeInUp data-wow-delay0.1s>strong>Valentin Radu/strong>/h1>                              h3 classwow fadeInUp data-wow-delay0.11s>Ive recently joined Amazon, where I build edge AI systems./h3>                              h3 classwow fadeInUp data-wow-delay0.12s>I am also a Visiting Lecturer (Assistant Professor) at the University of Sheffield./h3>                              !--span idmore classcollapse>Lorem ipsum dolor text..../span>span classcollapse-button data-togglecollapse data-target#more>more/span>-->div classwow fadeInUp data-wow-delay0.2s>I used to lead the a href#group>b>Ubiquitous AI Lab/b>/a> in the Department of Computer Science.br/>Before joining the University of Sheffield, I was a researcher at the University of Edinburgh working on the EU funded a hrefhttps://www.bonseyes.eu/>Bonseyes project/a>, making AI for edge devices. I received my PhD in Intelligent Systems from the University of Edinburgh./div>br/>div classwow fadeInUp data-wow-delay0.4s>My research interests are in:/div>ul>li classwow fadeInUp data-wow-delay0.4s>multimodal deep learning systems/li>li classwow fadeInUp data-wow-delay0.4s>distributed edge inference and training/li>li classwow fadeInUp data-wow-delay0.4s>deep neural network optimisation/li>li classwow fadeInUp data-wow-delay0.4s>context awareness by mobile sensing/li>/ul>!--div classwow fadeInUp data-wow-delay0.2s>For prospective PhD students (UK/EU): If youre interested in doing research in one of the topics mentioned above, please drop me an a href#contact>email/a>./div>--> !-- Bio: Valentin Radu is a Lecturer in the Department of Computer Science at the University of Sheffield. His research aims to make intelligent systems ubiquitous, by advancing distributed machine learning and efficient edge inference. Before joining the University of Sheffield, Valentin was a researcher at the University of Edinburgh, where he also received his PhD. He is the recipient of a Google IoT Research Award and other local SICSA awards. His research has been influenced by his visits at the University of Cambridge (2016), Intel R&D Ireland (2017) and Samsung (2015). -->!--b>a classwow fadeInUp best-paper data-wow-delay0.2s hrefmailto:valentin.radu@ed.ac.uk>PhD position available. Send me your CV and a few lines if you want to work in neural network optimisation./a>/b>-->                              ul classwow fadeInUp social-icon data-wow-delay0.5s>                                   li>a hrefhttps://scholar.google.co.uk/citations?user5BHrhxQAAAAJ titleGoogle Scholar classfa fa-graduation-cap>/a>/li>                                   li>a hrefhttp://www.linkedin.com/in/vradu10 titleLinkedin classfa fa-linkedin>/a>/li>                                   li>a hrefhttps://twitter.com/vradu10 titleTwitter classfa fa-twitter>/a>/li>                                   !--li>a hrefCV.pdf titleCV classfa fa-file-text>/a>/li>-->                              /ul>                                                                                /div>                    /div>               /div>          /div>     /div>/section>!-- News Section -->section idnews classparallax-section>     div classcontainer>          div classrow>               div classcol-md-12 col-sm-12>                    div classnews-thumb media>                         div classwow section-title> !-- data-wow-delay0.2s -->                              h1>News/h1>                         /div>                         div classwow media>                              div classmedia-body>                                   h3 classmedia-heading>May 2022 Paper accepted at a hrefhttps://euromlsys.eu/>EuroMLSys/a>, 2022./h3>                                   p>Joint work with Hongrui Shi, Data selection for efficient model update in federated learning.                                   /p>                              /div>                         /div>                         div classwow media>                              div classmedia-body>                                   h3 classmedia-heading>Nov. 2021 Paper accepted at Sensors./h3>                                   p>Joint work with Xijia Wei and Zhiqiang Wei, Sensor-Fusion for Smartphone Location Tracking Using HybridMultimodal Deep Neural Networks.                                   /p>                              /div>                         /div>                         div classwow media>                              div classmedia-body>                                   h3 classmedia-heading>Jun. 2021 Two papers accepted at a hrefhttp://ipin-conference.org/2021/>IPIN/a>, 2021./h3>                                   p>Joint work with Josh Barrows, Matthew Hill and Fabio Ciravegna, Active Learning with Data Distribution Shift Detection for Updating Localization Systems.br/>                                   Joint work with Xijia Wei, Zhiqiang Wei, MM-Loc: Cross-sensor Indoor Smartphone Location Tracking using Multimodal Deep Neural Networks.                                   /p>                              /div>                         /div>                         div classwow media>                              div classmedia-body>                                   h3 classmedia-heading>Apr. 2021 Paper accepted at a hrefhttps://edge-sys.github.io/2021/>EdgeSys/a>, collocated with EuroSys 2021./h3>                                   p>Joint work with Hongrui Shi (University of Sheffield), Towards Federated Learning with Attention Transfer to mitigate System and Data Heterogeneity of Clients./p>                              /div>                         /div>                         div classwow media>                              div classmedia-body>                                   h3 classmedia-heading>Mar. 2021 Paper accepted at a hrefhttps://www.euromlsys.eu/>EuroMLSys/a>, collocated with EuroSys 2021./h3>                                   p>Joint work with Rik Mulder (University of Edinburgh) and Christophe Dubach (McGill University), Fast Optimisation of Convolutional Neural Network Inference using System Performance Models./p>                              /div>                         /div>                         div classwow media>                              div classmedia-body>                                   h3 classmedia-heading>Mar. 2021 I became a member of a hrefhttps://www.hipeac.net/network/#/members/list/>HiPEAC/a>, the center of excellence in research for the future of computing systems in Europe./h3>                              /div>                         /div>                         div classwow media>                              div classmedia-body>                                   h3 classmedia-heading>Mar. 2021 I became a member of the a hrefhttps://insigneo.org/>Insigneo Institute for in silico Medicine/a>./h3>                              /div>                         /div>                         div classwow media>                              div classmedia-body>                                   h3 classmedia-heading>Dec. 2020 We released the a hrefhttps://mmfit.github.io/>MM-Fit dataset/a> that accompanies our a href#publications>IMWUT paper/a>./h3>                                   p>Let us know if you find this useful and we can spotlight your research on our project website./p>                                                                 /div>                         /div>                         div classwow media>                              div classmedia-body>                                   h3 classmedia-heading>Oct. 2020 Paper accepted to appear in ACM IMWUT, vol. 4, issue 4 and to be presented at Ubicomp 2021./h3>                                   p>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/p>                                                                 /div>                         /div>                         div classwow media>                              div classmedia-body>                                   h3 classmedia-heading>Aug. 2020 a hrefhttps://www.sheffield.ac.uk/dcs/people/academic/valentin-radu>I joined the University of Sheffield as a Lecturer in the Department of Computer Science/a>./h3>                                                                 /div>                         /div>                         div classwow media>                              div classmedia-body>                                   h3 classmedia-heading>Jul. 2020 Were organising the 3sup>rd/sup> Workshop on Accelerated Machine Learning (a hrefhttp://workshops.inf.ed.ac.uk/accml>AccML/a>) at a hrefhttps://www.hipeac.net/2021/budapest>HiPEAC 2021, Budapest/a>/h3>                                                                 /div>                         /div>                         div classwow media>                              div classmedia-body>                                   h3 classmedia-heading>Aug. 2019 Paper accepted to be presented at IISWC 2019./h3>                                   p>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/p>                                   !--p>i>Neat conclusion about cautioning on the possibility of pruning negatively impacting less-powerful architectures. The paper presents an enormous amount of measurement data./i> (Anonymous Reviewer)/p>-->                              /div>                         /div>                         div classwow media>                              div classmedia-body>                                   h3 classmedia-heading>Jul. 2019 Were organising the Accelerated Machine Learning (a hrefhttp://workshops.inf.ed.ac.uk/accml>AccML/a>) workshop at a hrefhttps://www.hipeac.net/2020/bologna>HiPEAC 2020, Bologna/a> (the largest computing systems research event in Europe)./h3>                                   p>Co-organising with colleagues at University of Glasgow, DeepMind and Google. Consider presenting your work with us!/p>                                                                 /div>                         /div>                         div classwow media>!--                              div classmedia-object media-left>                                   i classfa fa-asterisk>/i>                              /div>-->                              div classmedia-body>                                   h3 classmedia-heading>Jul. 2019 Paper accepted to appear in ACM IMWUT, vol. 3, issue 3 and to be presented at Ubicomp 2019./h3>                                   p>Joint work with Maximilian Henne (University of Edinburgh) - Vision2Sensor: Knowledge Transfer Across Sensing Modalities for Human Activity Recognition/p>                                   p>i>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./i> (Anonymous Reviewer)/p>                              /div>                         /div>                         div classwow media>!--                              div classmedia-object media-left>                                   i classfa fa-asterisk>/i>                              /div>-->                              div classmedia-body>                                   h3 classmedia-heading>Jul. 2019 2 papers accepted to be presented at IPIN 2019. a hrefhttp://ipin2019.isti.cnr.it>See you in Pisa, Italy/a>/h3>                                   p>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)/p>                              /div>                         /div>!--                         div classwow media>                              div classmedia-object media-left>                                   i classfa fa-asterisk>/i>                              /div>                              div classmedia-body>                                   h3 classmedia-heading>Feb. 2019 Were organising a thematic session on Edge AI at HiPEAC CSW 2019. a hrefhttps://www.hipeac.net/csw/2019/edinburgh/#/schedule/sessions/7716/>Join us!/a>/h3>                              /div>                         /div>-->!--                         div classwow fadeInUp media data-wow-delay0.2s>                              div classmedia-body>                                   h3 classmedia-heading>19 Dec 2018 Started project with Sony Mobile to develop multimodal solutions for smart gyms./h3>                              /div>                         /div>-->!--                         div classwow fadeInUp media data-wow-delay0.2s>                              div classmedia-body>                                   h3 classmedia-heading>12 Aug 2018 Were organising the Emerging Deep Learning Accelerators (EDLA) workshop at HiPEAC 2019, Valencia. a hrefhttp://workshops.inf.ed.ac.uk/edla/>Consider submitting your work/a>/h3>                              /div>                         /div>-->                    /div>               /div>          /div>     /div>/section>!-- Trillion Quotes Section -->section idquotes classparallax-section>     div classoverlay>/div>     div classcontainer>          div classrow>               div classcol-md-offset-1 col-md-10 col-sm-12>                    !--i classwow fadeInUp fa fa-star data-wow-delay0.6s>/i>i classwow fadeInUp fa fa-star data-wow-delay0.6s>/i>-->                    h2 classwow fadeInUp data-wow-delay0.3s>One trillion new IoT devices will be produced between 2015 and 2035. (ARM)/h2>                    p classwow fadeInUp data-wow-delay0.5s>Our research brings intelligence to many of these ubiquitous devices./p>               /div>          /div>     /div>/section>!-- Research Group Section -->section idgroup classparallax-section bg-yellow color-white>     div classcontainer>          div classrow>               div classcol-md-10 col-sm-12>                    div classgroup-thumb media>                         div classwow section-title>                              h1>Research Team/h1>                              p>I have had the pleasure of working with some amazing people in the strong>Ubiquitous AI Lab/strong>:/p>                         /div>                         div classwow media>                              div classmedia-body>                                   h3 classmedia-heading>Hongrui Shi (PhD, 2020 - 2025)/h3>                                   p>/p>                              /div>                         /div>                        div classwow media>                              div classmedia-body>                                   h3 classmedia-heading>Xijia Wei (affiliated)/h3>                                   p>/p>                              /div>                         /div>                                                 div classwow media>                              div classmedia-body>                                   h3 classmedia-heading>Zhiqiang Wei (affiliated)/h3>                                   p>/p>                              /div>                         /div>                         div classwow>                              h2 classgroup-h2>Alumni/h2>                         /div>                         div classwow media>                              div classmedia-object media-left>                                   img classresearch-group-member srcimages/sudharshan.jpg/>                              /div>                              div classmedia-body>                                   h3 classmedia-heading>Sudharshan Paindi Jayakumar/h3>                                   p>MSc thesis (2020): Anomaly Detection in Sensor Data through Multimodal Deep Neural Networks/p>                              /div>                         /div>                         div classwow media>                              div classmedia-object media-left>                                   img classresearch-group-member srcimages/david_s.jpg/>                              /div>                              div classmedia-body>                                   h3 classmedia-heading>David Strömbäck/h3>                                   p>MSc thesis (2019): Multimodal Learning for Automatic Exercise Logging span classclassbest-paper stylecolor:#f55a42>(Best Thesis Awared)/span>/p>                              /div>                         /div>                         div classwow media>                              div classmedia-object media-left>                                   img classresearch-group-member srcimages/david_i.jpg/>                              /div>                              div classmedia-body>                                   h3 classmedia-heading>David Ivorra/h3>                                   p>MSc thesis (2019): Efficient Motility Characterization at the Edge/p>                              /div>                         /div>                         div classwow media>                              div classmedia-object media-left>                                   img classresearch-group-member srcimages/luca_m.jpg/>                              /div>                              div classmedia-body>                                   h3 classmedia-heading>Luca McArthur/h3>                                   p>MSc thesis (2019): Multi-task Neural Architecture Search for Edge Computing/p>                              /div>                         /div>                         div classwow media>                              div classmedia-object media-left>                                   img classresearch-group-member srcimages/xingji_c.jpg/>                              /div>                              div classmedia-body>                                   h3 classmedia-heading>Xingji Chen/h3>                                   p>MSc thesis (2018): WiFi-based Indoor Localization using Deep Neural Networks on Smartphones/p>                              /div>                         /div>                         div classwow media>                              div classmedia-object media-left>                                   img classresearch-group-member srcimages/simon_w.jpg/>                              /div>                              div classmedia-body>                                   h3 classmedia-heading>Xijia Wei/h3>                                   p>MSc thesis (2018): Smartphone-based Location Tracking using Recurrent Neural Networks/p>                              /div>                         /div>                         div classwow media>                              div classmedia-object media-left>                                   img classresearch-group-member srcimages/max_h.jpg/>                              /div>                              div classmedia-body>                                   h3 classmedia-heading>Maximilian Henne/h3>                                   p>MSc thesis (2018): Automatic Ground-truth Collection in Mobile Systems Through Multimodal Sensing/p>                              /div>                         /div>                                             /div>               /div>               div classhidden-sm hidden-xs col-md-2>                    div classdevices-img>/div>               /div>          /div>     /div>/section>!-- Publications Section -->section idpublications classparallax-section>     div classcontainer>          div classrow>               div classcol-md-12 col-sm-12>                    div classpublications-thumb>                         div classsection-title>                              h1>Selected publications/h1>                              p>The full list is on a classlink1 hrefhttps://scholar.google.co.uk/citations?hlen&user5BHrhxQAAAAJ>Google Scholar/a>/p>                         /div>            ul>li>b>EuroMLSys21 Fast Optimisation of Convolutional Neural Network Inference using System Performance Models/b>br/>Rik Mulder, b>Valentin Radu/b>, Christophe Dubachbr/>In the ACM Workshop on Machine Learning and Systems, April 2021.br/>a classlink1 hrefhttps://doi.org/10.1145/3437984.3458840 target_blank onclicktrackOutboundLink(https://doi.org/10.1145/3437984.3458840)>DOI/a> a classlink1 hrefpublications/euromlsys_2021.pdf onclicktrackOutboundLink(publications/euromlsys_2021.pdf)>PDF/a>/li>li>b>EdgeSys21 Towards Federated Learning with Attention Transfer to Mitigate System and Data Heterogeneity of Clients/b>br/>Hongrui Shi, b>Valentin Radu/b>br/>In ACM  Edge Systems, Analytics and Networking, April 2021.br/>a classlink1 hrefhttps://dl.acm.org/doi/abs/10.1145/3434770.3459739 target_blank onclicktrackOutboundLink(https://dl.acm.org/doi/abs/10.1145/3434770.3459739)>DOI/a> a classlink1 hrefpublications/edgesys_2021.pdf onclicktrackOutboundLink(publications/edgesys_2021.pdf)>PDF/a>/li>li idimwut2020>b>IMWUT20 MM-Fit: Multimodal Deep Learning for Automatic Exercise Logging Across Sensing Devices/b>br/>David Strömbäck, Sangxia Huang, b>Valentin Radu/b>br/>In ACM Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT): Volume 4 Issue 4, December 2020.br/>a classlink1 hrefhttps://doi.org/10.1145/3432701>DOI/a> a classlink1 hrefhttp://vradu.uk/publications/UbiComp2020.pdf>PDF/a> a hrefpublications/imwut20.bib>bib/a> a classlink1 hrefhttps://mmfit.github.io/>dataset/a>/li>li>b>IMWUT19 Vision2Sensor: Knowledge Transfer Across Sensing Modalities for Human Activity Recognition/b>br/>b>Valentin Radu/b>, Maximilian Hennebr/>In ACM Interactive, Mobile, Wearable and Ubiquitous Technologies: Volume 3 Issue 3, September 2019.br/>a classlink1 hrefhttps://doi.org/10.1145/3351242 target_blank onclicktrackOutboundLink(https://doi.org/10.1145/3351242)>DOI/a> a classlink1 hrefpublications/IMWUT19_no_copyright.pdf onclicktrackOutboundLink(publications/IMWUT19_no_copyright.pdf)>PDF/a> a hrefpublications/imwut19.bib>bib/a>/li>li>b>IISWC19 Performance Aware Convolutional Neural Network Channel Pruning for Embedded GPUs/b>br/>b>V. Radu/b>, K. Kaszyk, Y. Wen, J. Turner, J. Cano, E. J. Crowley, B. Franke, A. Storkey, M. O’Boylebr/>In the International Symposium on Workload Characterization (a classlink1 hrefhttp://www.iiswc.org/iiswc2019/index.html target_blank onclicktrackOutboundLink(http://www.iiswc.org/iiswc2019/index.html)>IISWC/a>), IEEE, Orlando, USA, November 2019.br/>a classlink1 hrefpublications/radu2019performance.pdf onclicktrackOutboundLink(publications/radu2019performance.pdf)>PDF/a>/li>li>b>IPIN19 CamLoc: Pedestrian Location Estimation through Body Pose Estimation on Smart Cameras/b>br/>Adrian Cosma, Ion Emilian Radoi, b>Valentin Radu/b>br/>In IEEE Indoor Positioning and Indoor Navigation (IPIN), Octomber 2019.br/>a classlink1 href target_blank onclicktrackOutboundLink()>DOI/a> a classlink1 hrefpublications/CamLoc_no_copyright.pdf onclicktrackOutboundLink(publications/camLoc_no_copyright.pdf)>PDF/a> a href>bib/a>/li>li>b>IISWC18 Characterising Across-Stack Optimisations for Deep Convolutional Neural Networks/b>br/>J. Turner, J. Cano, b>V. Radu/b>, E. J. Crowley, M. OBoyle, and A. Storkeybr/>In the International Symposium on Workload Characterization (a classlink1 hrefhttp://www.iiswc.org/iiswc2018/index.html target_blank onclicktrackOutboundLink(http://www.iiswc.org/iiswc2018/index.html)>IISWC/a>), IEEE, North Carolina, USA, September 2018.br/>!--a classlink1 hrefhttps://doi.org/10.1145/3161174 target_blank onclicktrackOutboundLink(https://doi.org/10.1145/3161174)>DOI/a> a classlink1 hrefpublications/main_no_copyright.pdf onclicktrackOutboundLink(publications/main_no_copyright.pdf)>PDF/a>-->/li>li>b>IMWUT17 Multimodal Deep Learning for Activity and Context Recognition/b>br/>b>Valentin Radu/b>, Catherine Tong, Sourav Bhattacharya, Nicholas D. Lane, Cecilia Mascolo, Mahesh K. Marina, Fahim Kawsarbr/>In ACM Interactive, Mobile, Wearable and Ubiquitous Technologies: Volume 1 Issue 4, December 2017.br/>a classlink1 hrefhttps://doi.org/10.1145/3161174 target_blank onclicktrackOutboundLink(https://doi.org/10.1145/3161174)>DOI/a> a classlink1 hrefpublications/main_no_copyright.pdf onclicktrackOutboundLink(publications/main_no_copyright.pdf)>PDF/a>/li>li>b>UbiComp16 Towards Multimodal Deep Learning for Activity Recognition on Mobile Devices/b>br/>b>Valentin Radu/b>, Nicholas D. Lane, Sourav Bhattacharya, Cecilia Mascolo, Mahesh K. Marina, Fahim Kawsarbr/>In the Joint Conference on Pervasive and Ubiquitous Computing (UbiComp/ISWC16) Adjunct, ACM, September 2016, Heidelberg, Germany.br/>a classlink1 hrefhttp://dx.doi.org/10.1145/2968219.2971461 target_blank onclicktrackOutboundLink(http://dx.doi.org/10.1145/2968219.2971461)>DOI/a> a classlink1 hrefpublications/ubicomp2016.pdf onclicktrackOutboundLink(publications/ubicomp2016.pdf)>PDF/a> a classlink1 hrefpublications/ubicomp2016.bib>bib/a>/li>li>b>ATC15 Impact of Indoor-Outdoor Context on Crowdsourcing based Mobile Coverage Analysis/b>br/>a classlink1 hrefhttp://homepages.inf.ed.ac.uk/mmarina>Mahesh K. Marina/a>, b>Valentin Radu/b>, Konstantinos Balampekosbr/>In All Things Cellular Workshop (a classlink1 hrefhttp://conferences.sigcomm.org/sigcomm/2015/atc.php>ATC/a>) collocated with SIGCOMM15, ACM, August 2015, London, UK.br/>a classlink1 hrefhttp://dx.doi.org/10.1145/2785971.2785976 target_blank onclicktrackOutboundLink(http://dx.doi.org/10.1145/2785971.2785976)>DOI/a> a classlink1 hrefpublications/atc2015.pdf onclicktrackOutboundLink(publications/atc2015.pdf)>PDF/a> a classlink1 hrefpublications/atc2015.bib>bib/a>/li>li>b>SenSys14 A Semi-Supervised Learning Approach for Robust Indoor-Outdoor Detection with Smartphones/b>br/>b>Valentin Radu/b>, a classlink1 hrefhttp://homepages.inf.ed.ac.uk/s1271067/>Panagiota Katsikouli/a>, a classlink1 hrefhttp://homepages.inf.ed.ac.uk/rsarkar/>Rik Sarkar/a> and a classlink1 hrefhttp://homepages.inf.ed.ac.uk/mmarina>Mahesh K. Marina/a>br/>In the Conference on Embedded Networked Sensor Systems (a classlink1 hrefhttp://sensys.acm.org/2014/>SenSys/a>), ACM, November 2014, Memphis, USA.br/>a classlink1 hrefhttp://dx.doi.org/10.1145/2668332.2668347 target_blank onclicktrackOutboundLink(http://dx.doi.org/10.1145/2668332.2668347)>DOI/a> a classlink1 hrefpublications/sensys14.pdf onclicktrackOutboundLink(publications/sensys14.pdf)>PDF/a> a classlink1 hrefpublications/sensys14.bib>bib/a>!--a classlink1 hrefdata_sensys14>data/a>-->/li>li>b>MobiCom14 Poster: Am I Indoor or Outdoor?/b>br/>b>Valentin Radu/b>, a classlink1 hrefhttp://homepages.inf.ed.ac.uk/s1271067/>Panagiota Katsikouli/a>, a classlink1 hrefhttp://homepages.inf.ed.ac.uk/rsarkar/>Rik Sarkar/a>, a classlink1 hrefhttp://homepages.inf.ed.ac.uk/mmarina>Mahesh K. Marina/a>br/>In the 20th Annual International Conference on Mobile Computing and Networking (a classlink1 hrefhttp://www.sigmobile.org/mobicom/2014/>MobiCom/a>), ACM, September 2014, Hawaii, USA.br/>a classlink1 hrefhttp://dx.doi.org/10.1145/2639108.2642916 target_blank onclicktrackOutboundLink(http://dx.doi.org/10.1145/2639108.2642916)>DOI/a> a classlink1 hrefpublications/mobicom14.pdf onclicktrackOutboundLink(publications/mobicom14.pdf)>PDF/a> a classlink1 hrefpublications/mobicom14.bib>bib/a> a classlink1 hrefpublications/Mobicom_poster_2014.pdf onclicktrackOutboundLink(publications/Mobicom_poster_2014.pdf)>poster/a>/li>li>b>IPIN13 !--a classlink1 hrefhttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp&arnumber6817916>-->HiMLoc: Indoor Smartphone Localization via Activity Aware Pedestrian Dead Reckoning with Selective Crowdsourced WiFi Fingerprinting!--/a>--> - a classbest-paper hrefhttp://www.ipin-conference.org/2013/best-paper-nommination/>Nominated for the Best Paper Award/a>/b>br/>b>Valentin Radu/b>, a classlink1 hrefhttp://homepages.inf.ed.ac.uk/mmarina>Mahesh K. Marina/a>br/>In the 4th International Conference on Indoor Positioning and Indoor Navigation (a classlink1 hrefhttp://ipin-conference.org>IPIN/a>), IEEE, October 2013, Belfort-Montbeliard, France.br/>a classlink1 hrefhttp://dx.doi.org/10.1109/IPIN.2013.6817916 target_blank onclicktrackOutboundLink(http://dx.doi.org/10.1109/IPIN.2013.6817916)>DOI/a> a classlink1 hrefpublications/HiMLoc.pdf onclicktrackOutboundLink(publications/HiMLoc.pdf)>PDF/a> a classlink1 hrefpublications/HiMLoc.bib>bib/a> !--a classlink1 hrefpublications/HiMLoc-prez.pdf>Presentation/a>-->/li>li>b>CNSM13 Pazl: A Mobile Crowdsensing based Indoor WiFi Monitoring System/b>br/>b>Valentin Radu/b>, a classlink1 hrefhttp://homepages.inf.ed.ac.uk/s0972763> Lito Kriara/a>, a classlink1 hrefhttp://homepages.inf.ed.ac.uk/mmarina>Mahesh K. Marina/a>br/>In the 9th International Conference on Network and Service Management (a classlink1 hrefhttp://www.cnsm-conf.org/2013/>CNSM/a>), IEEE, October 2013, Zurich, Switzerland.br/>a classlink1 hrefhttp://dx.doi.org/10.1109/CNSM.2013.6727812 target_blank onclicktrackOutboundLink(http://dx.doi.org/10.1109/CNSM.2013.6727812)>DOI/a> a classlink1 hrefpublications/Pazl.pdf onclicktrackOutboundLink(publications/Pazl.pdf)>PDF/a> a classlink1 hrefpublications/Pazl.bib>bib/a> a classlink1 hrefpublications/Pazl-prez.pdf>Presentation/a>/li>!--li>b>SICSA13 Poster: Enhancing mobile crowd-sensing for indoor space characterization (WiFi monitoring)-->!-- - a classimportant hrefhttps://sites.google.com/site/sicsaconf2013/talk-slides-videos>Runner-up poster/a>--> !--/b>br/>b>Valentin Radu/b>br/>In the 5th Annual a classlink1 hrefhttps://sites.google.com/site/sicsaconf2013/>SICSA PhD Conference/a>, June 2013, Stirling, UK.br/>a classlink1 hrefpublications/SICSA_PhD_Conference_2013.pdf>poster/a>/li>-->!--  li>b>SCONE13 Poster: a classlink1 hrefpublications/Scone_8_02_2013_Poster_mBSense_test.pdf>Mobile Network Measurement via Crowdsourcing/a>/b>br/>Konstantinos Balampekos, Iliyan Ivanov, Georgi Zlatkov, b>Valentin Radu/b> and a classlink1 hrefhttp://homepages.inf.ed.ac.uk/mmarina>Mahesh K. Marina/a>br/>In a classlink1 hrefhttp://scone.cs.st-andrews.ac.uk/wiki/Meeting08022013>SCONE/a>, February 2013, Edinburgh, UK./li>          -->!--li>b>MobiSys12 Poster: A hybrid approach for indoor mobile phone localization/b>br/>b>Valentin Radu/b>, Jiwei Li, a classlink1 hrefhttp://homepages.inf.ed.ac.uk/s0972763> Lito Kriara/a>, a classlink1 hrefhttp://homepages.inf.ed.ac.uk/mmarina>Mahesh K. Marina/a>, Richard Mortierbr/>In the 10th International Conference on Mobile Systems, Applications, and Services (a classlink1 hrefhttp://www.sigmobile.org/mobisys/2012/>MobiSys/a>), ACM, June 2012, Lake District, UK.br/>a classlink1 hrefhttp://dx.doi.org/10.1145/2307636.2307717 target_blank>DOI/a> a classlink1 hrefpublications/mobisys12.bib>bib/a> a classlink1 hrefpublications/mobisys12-poster.pdf>poster/a>/li>-->                    /div>               /div>          /div>     /div>/section>!-- Exposure Section -->!--section idexperience classparallax-section>     div classcontainer>          div classrow>               div classexperience-thumb section-title color-white>                    h1>In the Media/h1>               /div>          /div>          div classrow>               div classcol-md-6 col-sm-12>                    div classcolor-white video bg-yellow>                         iframe srchttps://www.youtube.com/embed/47FW5Wpb7Mk frameborder0 allowaccelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture allowfullscreen>/iframe>                    /div>               /div>               div classcol-md-6 col-sm-12>                    div classcolor-white video bg-yellow>                         iframe width560 height315 srchttps://www.youtube.com/embed/E1kkgRCGvWc frameborder0 allowaccelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture allowfullscreen>/iframe>                    /div>               /div>          /div>     /div>/section>-->!-- Contact Section -->section idcontact classparallax-section>     div classcontainer>          div classrow>               div classbg-dark col-md-12 col-sm-12>                    div classcontact-thumb>                         div classwow fadeInUp contact-info data-wow-delay0.2s>                              h3 classcolor-white>Contact/h3>                              p>i classfa fa-phone>/i> +44 114 222 1971/p>                              p>i classfa fa-envelope-o>/i> a hrefmailto:valentin.radu@sheffield.ac.uk>valentin.radu@sheffield.ac.uk/a>/p>                         /div>                         div classwow fadeInUp contact-info data-wow-delay0.1s>                              p>University of Sheffield, Department of Computer Science, br/>Regent Court (DCS), 211 Portobello, Sheffield, S1 4DP/p>                         /div>                    /div>               /div>!--               div classbg-dark col-md-6 col-sm-12>                    div classcontact-thumb>                         iframe srchttps://www.google.com/maps/embed?pb!1m14!1m12!1m3!1d1117.1373648208125!2d-3.188005043555455!3d55.94461010432009!2m3!1f0!2f0!3f0!3m2!1i1024!2i768!4f13.1!5e0!3m2!1sen!2suk!4v1560515765632!5m2!1sen!2suk width500 height300 frameborder0 styleborder:0 allowfullscreen>/iframe>                    /div>               /div>-->          /div>     /div>/section>!-- Footer Section -->footer>	div classcontainer>		div classrow>               div classcol-md-12 col-sm-12>                    div classfooter-copyright>                         p>Copyright © 2020‒2022/p>                    /div>               /div>					/div>	/div>/footer>!-- SCRIPTS -->script srcjs/jquery.js>/script>script srcjs/bootstrap.min.js>/script>script srcjs/jquery.parallax.js>/script>script srcjs/smoothscroll.js>/script>script srcjs/wow.min.js>/script>script srcjs/custom.js>/script>/body>/html>

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