Silvia Santini

Silvia Santini

Professor
Silvia Santini is an Associate Professor at the Faculty of Informatics of USI since September 2016, where she co-leads the People-Centered Computing Lab together with Prof. Marc Langheinrich. From July 2014 until August 2016 she held an Associate Professor position at TU Dresden, where she led the Embedded Systems Lab. From October 2011 until July 2014 she was an Assistant Professor at the Department of Electrical Engineering and Information Technology of TU Darmstadt, Germany, where she led the Wireless Sensor Networks Lab. From 2009 until 2011 she was a postdoctoral researcher in Prof. Friedemann Mattern’s Distributed Systems Group at ETH Zurich, and from November 2010 until February 2011 she joined Leonidas Guibas’s research group at Stanford University as a visiting scholar. Silvia completed her PhD under the supervision of Prof. Friedemann Mattern at ETH Zurich in 2009, and graduated in Telecommunication Engineering (with honors) from the Sapienza University of Rome, Italy, in May 2004.
Publications
(2013). The influence of temporal and spatial features on the performance of next-place prediction algorithms. The 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp ‘13, Zurich, Switzerland, September 8-12, 2013.
(2013). Towards the benchmarking of ultra-low latency communication protocols for wireless sensor and actuator networks. The 11th ACM Conference on Embedded Network Sensor Systems, SenSys ‘13, Roma, Italy, November 11-15, 2013.
(2013). Using unlabeled Wi-Fi scan data to discover occupancy patterns of private households. The 11th ACM Conference on Embedded Network Sensor Systems, SenSys ‘13, Roma, Italy, November 11-15, 2013.
(2012). CBFR: Bloom filter routing with gradual forgetting for tree-structured wireless sensor networks with mobile nodes. 2012 IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks, WoWMoM 2012, San Francisco, CA, USA, June 25-28, 2012.
(2012). Improving device-level electricity consumption breakdowns in private households using ON/OFF events. SIGBED Rev..
(2012). Towards automatic classification of private households using electricity consumption data. BuildSys ‘12 Proceedings of the Fourth ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings, Toronto, Canada, November 6, 2012.
(2011). Connecting things to the web using programmable low-power WiFi modules. Proceedings of the Second International Workshop on Web of Things, San Francisco, CA, USA, June 16, 2011.
(2011). DISSense: An adaptive ultralow-power communication protocol for wireless sensor networks. Distributed Computing in Sensor Systems, 7th IEEE International Conference and Workshops, DCOSS 2011, Barcelona, Spain, 27-29 June, 2011, Proceedings.
(2011). The Impact of Network Topology on Collection Performance. Wireless Sensor Networks - 8th European Conference, EWSN 2011, Bonn, Germany, February 23-25, 2011. Proceedings.
(2010). Threads2Events: an automatic code generation approach. Proceedings of the 6th Workshop on Hot Topics in Embedded Networked Sensors, HotEmNets ‘10, Killarney, Ireland, June 28-29, 2010.
(2009). Adaptive random sensor selection for field reconstruction in wireless sensor networks. Proceedings of the 6th Workshop on Data Management for Sensor Networks, in conjunction with VLDB, DMSN 2009, Lyon, France, August 24, 2009.
(2008). Data Collection in Wireless Sensor Networks for Noise Pollution Monitoring. Distributed Computing in Sensor Systems, 4th IEEE International Conference, DCOSS 2008, Santorini Island, Greece, June 11-14, 2008, Proceedings.
(2008). First experiences using wireless sensor networks for noise pollution monitoring. Proceedings of the workshop on Real-world wireless sensor networks, REALWSN ‘08, Glasgow, Scotland, April 1, 2008.
(2007). Adaptive model selection for time series prediction in wireless sensor networks. Signal Process..
(2006). - Prototyping Sensor-Based, Location-Aware Applications in Java. Ubiquitous Computing Systems, Third International Symposium, UCS 2006, Seoul, Korea, October 11-13, 2006, Proceedings.
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PhD position: XAI-FinCrime

The People-Centered Computing Lab is looking for a PhD student in machine learning and explainable AI applied to financial crime detection.

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Silvia Santini

Postdoc position: XAI-FinCrime

The People-Centered Computing Lab is looking for a postdoctoral researcher in machine learning and explainable AI for financial crime detection and prevention.

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Silvia Santini

Prof. Silvia Santini’s contribution on La Regione

Professor Silvia Santini discussed how digital devices and apps are increasingly integrated into daily life and how this creates both concerns and opportunities for well-being.

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Silvia Santini

Our group members ranked among the world’s top 2% of scientists

Marc Langheinrich and Martin Gjoreski were included in Stanford University and Elsevier science-wide citation indicator lists for top scientists.

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Silvia Santini

Daniel Gatica-Perez presents Towards Increasing Diversity in Mobile Sensing Research

Professor Silvia Santini hosted Daniel Gatica-Perez from EPFL for a seminar on diversity and mobile sensing research.

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Silvia Santini

Prof. Marc Langheinrich’s contribution on La Regione

Professor Marc Langheinrich discussed digital privacy and the evolution of personal data handling in a feature with La Regione.

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Silvia Santini

Tutorial at the Neuroergonomics 2021 conference in Munich

Martin Gjoreski co-organized a tutorial on machine learning for cognitive load inference from physiological signals at Neuroergonomics 2021.

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Silvia Santini