I am a research associate at the University of Luxembourg (SnT) and an active member of the VehicularLab team (Security and Networking Research Group). My research interests focus on sensor networks and can be decomposed into three complementary topics: intelligent transportation, sensing and distributed systems
Recent publications (full list)
- S. Faye, W. Bronzi, I. Tahirou, and T. Engel, “Characterizing User Mobility Using Mobile Sensing Systems,” International Journal of Distributed Sensor Networks, vol. 13, iss. 8, 2017. |
![[PDF]](http://www.sfaye.com/wp-content/plugins/papercite/img/pdf.png)
Paper | ![[DOI]](http://www.sfaye.com/wp-content/plugins/papercite/img/external.png)
Link | Bibtex citation
@article{SF-IJDSN-17, author = {S{\'e}bastien Faye and Walter Bronzi and Ibrahim Tahirou and Thomas Engel}, title = {Characterizing User Mobility Using Mobile Sensing Systems}, journal = {International Journal of Distributed Sensor Networks}, volume = {13}, number = {8}, year = {2017}, doi = {10.1177/1550147717726310}, Pdf = {http://journals.sagepub.com/doi/pdf/10.1177/1550147717726310} } - B. Toader, F. Sprumont, S. Faye, M. Popescu, and F. Viti, “Usage of Smartphone Data to Derive an Indicator for Collaborative Mobility between Individuals,” ISPRS International Journal of Geo-Information, vol. 6, iss. 3, 2017. | Paper | Link | Bibtex citation
@article{BG-IJGI-17, Author = {Toader, Bogdan and Sprumont, François and Faye, S{\'e}bastien and Popescu, Mioara and Viti, Francesco}, Journal = {ISPRS International Journal of Geo-Information}, Pdf = {http://www.sfaye.com/data/faye_jowua_2016.pdf}, Title = {Usage of Smartphone Data to Derive an Indicator for Collaborative Mobility between Individuals}, Doi = {10.3390/ijgi6030062}, Volume = 6, Number = 3, Url = {http://www.mdpi.com/2220-9964/6/3/62}, Pdf = {http://www.mdpi.com/2220-9964/6/3/62/pdf}, ISSN = {2220-9964}, Year = 2017} - T. Derrmann, S. Faye, R. Frank, and T. Engel, “Poster: LuST-LTE: A Simulation Package for Pervasive Vehicular Connectivity,” in 2016 IEEE Vehicular Networking Conference (VNC) (IEEE VNC 2016), Columbus, USA, 2016. | Bibtex citation
@inproceedings{TD-POSTER-VNC-16, Address = {Columbus, USA}, Author = {Thierry Derrmann and S{\'e}bastien Faye and Raphael Frank and Thomas Engel}, Booktitle = {2016 IEEE Vehicular Networking Conference (VNC) (IEEE VNC 2016)}, Keywords = {MAMBA}, Month = dec, Title = {Poster: {LuST-LTE:} A Simulation Package for Pervasive Vehicular Connectivity}, Year = 2016} - L. Codeca, R. Frank, S. Faye, and T. Engel, “Luxembourg SUMO Traffic (LuST) Scenario: Traffic Demand Evaluation,” IEEE Intelligent Transportation Systems Magazine, 2016. | Bibtex citation
@article{LC-ITSM-16, Author = {Lara Codeca and Raphael Frank and S{\'e}bastien Faye and Thomas Engel}, Journal = {IEEE Intelligent Transportation Systems Magazine}, Title = {Luxembourg SUMO Traffic (LuST) Scenario: Traffic Demand Evaluation}, Year = 2016} - S. Faye, I. Tahirou, and T. Engel, “Demo Abstract: Human Mobility Profiling Using Privacy-Friendly Wi-Fi and Activity Traces,” in The 14th ACM Conference on Embedded Networked Sensor Systems (SenSys 2016), Stanford, CA, USA, 2016. | Paper | Link | Bibtex citation
@inproceedings{SF-SENSYS-DEMO-16, Address = {Stanford, CA, USA}, Author = {S{\'e}bastien Faye and Ibrahim Tahirou and Thomas Engel}, Booktitle = {The 14th ACM Conference on Embedded Networked Sensor Systems (SenSys 2016)}, Doi = {10.1145/2994551.2996530}, Keywords = {MAMBA}, Month = nov, Organization = {ACM}, Pdf = {http://www.sfaye.com/data/faye_sensys_2016.pdf}, Title = {Demo Abstract: Human Mobility Profiling Using Privacy-Friendly Wi-Fi and Activity Traces}, Year = {2016}, Bdsk-Url-1 = {http://dx.doi.org/10.1145/2994551.2996530}}
Research
Characterizing User Mobility Using Mobile Sensing Systems
Recent technological advances and the ever-greater developments in sensing and computing continue to provide new ways of understanding our daily mobility. Smart devices such as smartphones or smartwatches can, for instance, provide an enhanced user experience based on different sets of built-in sensors that follow every user action and identify its environment. Monitoring solutions such […]
Read MoreUsage of Smartphone Data to Derive an Indicator for Collaborative Mobility between Individuals
The potential of geospatial big data has been drawing attention for a few years. Despite the larger and larger market penetration of portable technologies (nomadic and wearable devices like smartphones and smartwatches), their opportunities for travel behavior analysis are still relatively unexplored. The main objective of our study is to extract the human mobility patterns […]
Read MoreLuST-LTE: A Simulation Package for Pervasive Vehicular Connectivity
Recent technological advances in communication technology have provided new ways to understand human mobility. Connected vehicles with their rising market penetration rate are particularly representative of this trend. They become increasingly interesting not only as sensors but also as participants in Intelligent Transportation System (ITS) applications. More specifically, their pervasive connectivity to cellular networks enables […]
Read MoreLuxembourg SUMO Traffic (LuST) Scenario: Traffic Demand Evaluation
Both the industrial and the scientific communities are working on problems related to vehicular traffic congestion, intelligent transportation systems, and mobility patterns using information collected from a variety of sources. Usually, a vehicular traffic simulator, with an appropriate scenario for the problem at hand, is used to reproduce realistic mobility patterns. Many mobility simulators are […]
Read MoreHuman Mobility Profiling Using Privacy-Friendly Wi-Fi and Activity Traces
Human mobility is one of the key topics to be considered in the networks of the future, both by industrial and research communities that are already focused on multidisciplinary applications and user-centric systems. If the rapid proliferation of networks and high-tech miniature sensors makes this reality possible, the ever-growing complexity of the metrics and parameters […]
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