I am Research and Technology Associate at LIST (Luxembourg Institute of Science and Technology, ITIS department). My research interests focus on Mobile and Ubiquitous Computing, IoT and Smart Mobility.
Recent publications (full list)
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F. Melakessou, P. Kugener, N. Alnaffakh, S. Faye, and D. Khadraoui, “Heterogeneous Sensing Data Analysis for Commercial Waste Collection,” Sensors, vol. 20, iss. 4, p. 978, 2020.
@article{melakessou2020heterogeneous, title={Heterogeneous Sensing Data Analysis for Commercial Waste Collection}, author={Melakessou, Foued and Kugener, Paul and Alnaffakh, Neamah and Faye, S{\'e}bastien and Khadraoui, Djamel}, journal={Sensors}, volume={20}, number={4}, pages={978}, year={2020}, publisher={Multidisciplinary Digital Publishing Institute}, doi={10.3390/s20040978}, pdf={https://www.mdpi.com/1424-8220/20/4/978/pdf} } - S. Faye, G. Arnould, F. Ferrero, I. Mahjri, and D. Khadraoui, “Simulating Cooperative, Connected and Automated Mobility in Luxembourg,” ERCIM NEWS, p. 17, 2019.
@article{faye2019simulating, title={Simulating Cooperative, Connected and Automated Mobility in Luxembourg}, author={Faye, S{\'e}bastien and Arnould, G{\'e}rald and Ferrero, Francesco and Mahjri, Imen and Khadraoui, Djamel}, journal={ERCIM NEWS}, pages={17}, year={2019}, pdf={https://ercim-news.ercim.eu/images/stories/EN117/EN117-web.pdf} } - C. Guerlain, S. Renault, F. Ferrero, and S. Faye, “Decision Support Systems for Smarter and Sustainable Logistics of Construction Sites,” Sustainability, vol. 11, iss. 10, p. 2762, 2019.
@article{guerlain2019decision, title={Decision Support Systems for Smarter and Sustainable Logistics of Construction Sites}, author={Guerlain, Cindy and Renault, Samuel and Ferrero, Francesco and Faye, S{\'e}bastien}, journal={Sustainability}, volume={11}, number={10}, pages={2762}, year={2019}, publisher={Multidisciplinary Digital Publishing Institute}, pdf={https://www.mdpi.com/2071-1050/11/10/2762/pdf}, doi={10.3390/su11102762} } - I. Mahjri, S. Faye, and D. Khadraoui, “On building cooperative intelligent transportation systems over public transports,” in 2019 15th International Wireless Communications & Mobile Computing Conference (IWCMC), 2019, p. 489–495.
@inproceedings{mahjri2019building, title={On building cooperative intelligent transportation systems over public transports}, author={Mahjri, Imen and Faye, S{\'e}bastien and Khadraoui, Djamel}, booktitle={2019 15th International Wireless Communications \& Mobile Computing Conference (IWCMC)}, pages={489--495}, year={2019}, organization={IEEE} } - S. Faye, F. Melakessou, P. Gautier, and D. Khadraoui, “No Time to Waste, with SWAM!,” in Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, 2019, p. 342–343.
@inproceedings{faye2019no, title={No Time to Waste, with SWAM!}, author={Faye, S{\'e}bastien and Melakessou, Foued and Gautier, Prune and Khadraoui, Djamel}, booktitle={Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation}, pages={342--343}, year={2019} } - I. Mahjri, S. Faye, and D. Khadraoui, “Impact and Deployment of Dynamic Traffic Light Control Strategies using a City-wide Simulation Scenari,” in 2019 IEEE Intelligent Transportation Systems Conference (ITSC), 2019, p. 2213–2219.
@inproceedings{mahjri2019impact, title={Impact and Deployment of Dynamic Traffic Light Control Strategies using a City-wide Simulation Scenari}, author={Mahjri, Imen and Faye, S{\'e}bastien and Khadraoui, Djamel}, booktitle={2019 IEEE Intelligent Transportation Systems Conference (ITSC)}, pages={2213--2219}, year={2019}, organization={IEEE} } - S. Faye, F. Melakessou, W. Mtalaa, P. Gautier, N. AlNaffakh, and D. Khadraoui, “SWAM: A Novel Smart Waste Management Approach for Businesses using IoT,” in Proceedings of the 1st ACM International Workshop on Technology Enablers and Innovative Applications for Smart Cities and Communities, 2019, p. 38–45.
@inproceedings{faye2019swam, title={SWAM: A Novel Smart Waste Management Approach for Businesses using IoT}, author={Faye, S{\'e}bastien and Melakessou, Foued and Mtalaa, Wassila and Gautier, Prune and AlNaffakh, Neamah and Khadraoui, Djamel}, booktitle={Proceedings of the 1st ACM International Workshop on Technology Enablers and Innovative Applications for Smart Cities and Communities}, pages={38--45}, year={2019} } - M. A. A{u{g}}ca, D. Khadraoui, and S. Faye, “Persisting Trust In Intrusted Varying Resilient Citv Context V,” in Proceedings on the International Conference on Artificial Intelligence (ICAI), 2019, p. 312–318.
@inproceedings{augca2019persisting, title={Persisting Trust In Intrusted Varying Resilient Citv Context V}, author={A{\u{g}}ca, Muhammed Akif and Khadraoui, Djamel and Faye, S{\'e}bastien}, booktitle={Proceedings on the International Conference on Artificial Intelligence (ICAI)}, pages={312--318}, year={2019}, organization={The Steering Committee of The World Congress in Computer Science, Computer~…} } - S. Faye and D. Khadraoui, “Interpreting Contextual Information through User-centric Network Discovery,” in The 16th ACM Conference on Embedded Networked Sensor Systems (SenSys 2018), Shenzhen, China, 2018.
@inproceedings{SF-SENSYS-POSTER-18, Address = {Shenzhen, China}, Author = {S{\'e}bastien Faye and Djamel Khadraoui}, Booktitle = {The 16th ACM Conference on Embedded Networked Sensor Systems (SenSys 2018)}, Doi = {10.1145/3274783.3275175}, Month = nov, Organization = {ACM}, Title = {Interpreting Contextual Information through User-centric Network Discovery}, Year = {2018}, Bdsk-Url-1 = {http://dx.doi.org/10.1145/3274783.3275175}} - S. Faye, F. Melakessou, and D. Khadraoui, “DISCO: Ultra-Lightweight Mobility Discovery,” in The 16th ACM Conference on Embedded Networked Sensor Systems (SenSys 2018), Shenzhen, China, 2018.
@inproceedings{SF-SENSYS-DEMO-18, Address = {Shenzhen, China}, Author = {S{\'e}bastien Faye and Foued Melakessou and Djamel Khadraoui}, Booktitle = {The 16th ACM Conference on Embedded Networked Sensor Systems (SenSys 2018)}, Doi = {10.1145/3274783.3275173}, Month = nov, Organization = {ACM}, Title = {DISCO: Ultra-Lightweight Mobility Discovery}, Year = {2018}, Bdsk-Url-1 = {http://dx.doi.org/10.1145/3274783.3275173}}
Research
DISCO: Ultra-Lightweight Mobility Discovery
Capturing individual mobility patterns has become a crucial issue for a tremendous number of applications, often requiring the use of privacy-invasive or energy-consuming sensors and online services. In parallel to this, the proliferation of wireless network access points (APs), scattered in a very dense manner in many geographical areas, is now opening up new technological […]
Read MoreInterpreting Contextual Information through User-centric Network Discovery
At a time when wireless network access nodes are being massively deployed all around the world, it is possible to take advantage of the information they naturally emit, in order to draw relevant and contextual indicators of a user’s situation. In this work, we propose to use discovery data passively sent by wireless network nodes […]
Read MoreMAMBA: A Platform for Personalised Multimodal Trip Planning
In recent years, multimodal transportation has become a challenging approach to route planning. Most existing planning systems usually rely on data sourced from different organisations, enabling the user to select a limited number of routing strategies. As part of the MAMBA project, developed in Luxembourg until 2017, we have been interested in the potential benefits […]
Read MoreCharacterizing Driving Behaviors Through a Car Simulation Platform
Human mobility has opened up to many themes in recent years. Human behavior and how a driver might react to certain situations, whether dangerous (e.g. an accident) or simply part of the evolution of new technologies (e.g. autonomous driving), leaves many avenues to be explored. Although experiments have been deployed in real situations, it remains […]
Read MoreAn Open Dataset for Human Activity Analysis using Smart Devices
The study of human mobility and activities has opened up to an incredible number of studies in the past, most of which included the use of sensors distributed on the body of the subject. More recently, the use of smart devices has been particularly relevant because they are already everywhere and they come with accurate […]
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