Personal information

Marco Cattani, m.cattani@tugraz.at, +43 316 8736910
Inffeldgasse 16, 8010 Graz, Austria
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me, being curious


Exploiting Density to Track Human Behavior in Crowded Environments IEEE Comm. Mag. 2017
An Open-Space Museum as a Testbed for Popularity Monitoring in Real-World Settings EWSN 2017
Staffetta: Smart Duty-Cycling for Opportunistic Data Collection  SenSys 2016
Visualizing, Clustering, and Predicting the Behavior of Museum Visitors Perv. Mob. Comp.
Leveraging Proximity Sensing to Mine the Behavior of Museum Visitors PerCom 2016 
Graph Scale-Space Theory for Distributed Peak and Pit Identification IPSN 2015 
Lightweight neighborhood cardinality estimation IPSN 2014  ★ 
SOFA: Communication in Extreme Wireless Sensor Networks EWSN 2014
Think Globally, Act Locally: On the Reshaping of Information Landscapes IPSN 2013
Group monitoring in mobile wireless sensor networks DCOSS 2011

Workshops, Posters and Demos

Adige: An Efficient Smart Water Network Based on Long-Range Wireless Technology CySWater 2017
Gondola – a Parametric Robot Infrastructure for Repeatable Mobile Experiments
 SenSys 2016
Neighborhood Cardinality Estimation in Extreme Wireless Sensor Networks EWSN 2014 
Communication in Extreme Wireless Sensor Networks SenSys 2013


Best paper runner-up at PerCom 2016, IPSN 2014
Best poster runner-up at EWSN 2014

PhD thesis

Opportunistic Communication in Extreme Wireless Sensor Networks
Marco Cattani (Delft University of Technology 2016)

Peer reviewer for

IEEE/ACM Transactions on Networking
ACM Transactions on Sensor Networks
IEEE Transactions on Mobile Computing
ACM Transactions on Embedded Computing Systems
Springer Mobile Networks and Applications
International Conference on Embedded Wireless Systems and Networks (EWSN 2016)
Member of the editorial board of EURASIP Journal on Wireless Communications and Networking

Research projects

Smart Water Management (SWM).  The project aims to develop targeted and robust monitoring and control systems for water distribution networks in China to timely detect and localize water losses due to leaks. In many regions of China Drinking water is a scarce resource. Through developments towards “smart pipe networks”, a reduction of system water losses are achieved.
Extreme Wireless Distributed Systems (EWiDS). In this project, we aim at a better understanding of using wireless, user-centric sensor technology to monitor and manage the behavior of people. Within the EWiDS project I focus on the topics of communication in dense and mobile wireless sensor networks and in-network data aggregation, such as estimating network sizes and densities