Since 2014, I am 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

I became interested in telecommunication networks as a graduate student at the University of Picardie Jules Verne, Amiens, France. I attended a research-oriented program during which I started working in the field of wireless sensor networks (WSNs). Despite their energy and resource limitations these networks have unrivalled flexibility, which makes them ideal for deployment in a wide variety of environments. Specifically, during my MS thesis, I carried out a number of studies on WSNs and the security mechanisms they offer. Then, as a PhD candidate at Telecom ParisTech, Paris, France, I focused on WSNs applied to intelligent transportation systems (ITS). Specifically, I studied how sensors equipped with magnetometers and short-range wireless radio interfaces can be deployed along the road network so as to detect the passage of vehicles and exchange traffic count information. By means of in-network processing of such data, a WSN can manage traffic flows in a distributed way and without need for a central control point as it happens today – which implies lower latencies as well as more capillary, reactive and fault-resistant management of road traffic. I studied the topological features of WSN architectures for traffic management in large-scale urban areas, and developed distributed algorithms that run on the WSN and ease traffic congestion by means of adaptive traffic light control. Since then, I have been working on other aspects related to sensor networks, including activity detection, mobile and wearable computing.


Recent publications (full list)



Usage 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 […]

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LuST-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 […]

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Luxembourg 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 […]

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Human 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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Understanding User Daily Mobility Using Mobile and Wearable 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 […]

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