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Università della Svizzera italiana (USI)
Faculty of Informatics (D2.06)
Via G. Buffi 13
6900 Lugano, Switzerland
phone: +41 58 666 4851
email: silvia.santini@usi.ch
Silvia Santini is an Associate Professor at the Faculty of Informatics of USI since September 2016. From July 2014 until August 2016, Silvia 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. Previously, from 2009 until 2011, she was a postdoctoral researcher in Prof. Friedemann Mattern’s Distributed Systems Group at the Department of Computer Science of ETH Zurich, Switzerland. From November 2010 until February 2011 she joined Leonidas Guibas’s research group at Stanford University as a visiting scholar. Silvia completed her PhD Thesis 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
2023
(2023) Enhancing XGBoost with Heuristic Smoothing for Transportation Mode and Activity Recognition, Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing, p. 540-545, New York, NY, USA: ACM, url, doi:10.1145/3594739.3610752
(2023) Enhancing XGBoost with Heuristic Smoothing for Transportation Mode and Activity Recognition, Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing, p. 540-545, New York, NY, USA: ACM, url, doi:10.1145/3594739.3610752
2022
(2022) Multi-task Learning for Stress Recognition, Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing, p. 202-206, New York, NY, USA: ACM, doi:10.1145/3544793.3563404 pdf
(2022) Multi-task Learning for Stress Recognition, Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing, p. 202-206, New York, NY, USA: ACM, doi:10.1145/3544793.3563404 pdf
(2022) On the Impact of Lateralization in Physiological Signals from Wearable Sensors, Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing, p. 472-477, New York, NY, USA: ACM, doi:10.1145/3544793.3563427
(2022) Handling Missing Data For Sleep Monitoring Systems, 2022 10th International Conference on Affective Computing and Intelligent Interaction (ACII), p. 1-8, IEEE, url, doi:10.1109/ACII55700.2022.9953832 pdf
2021
(2021) Detecting Verbal and Non-Verbal Gestures Using Earables, Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers, p. 165-170, New York, NY, USA: ACM, url, doi:10.1145/3460418.3479322 pdf
2020
(2020) Detection of Artifacts in Ambulatory Electrodermal Activity Data, Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 4(2), p. 1-31, ACM New York, NY, USA, url, doi:10.1145/3397316 pdf
2016
(2016) Quantifying the Uncertainty of Next-Place Predictions, Proceedings of the The 8th EAI International Conference on Mobile Computing, Applications and Services, Pei Zhang, Mirco Musolesi, Fahim Kawsar (ed.), ACM, url, doi:10.4108/eai.30-11-2016.2267147
2006
(2006) JSense – Prototyping Sensor-Based, Location-Aware Applications in Java, Ubiquitous Computing Systems - Third International Symposium, UCS 2006, Seoul, Korea, October 11-13, 2006, Proceedings 4239, Hee Yong Youn, Minkoo Kim, Hiroyuki Morikawa (ed.), p. 300-315, Berlin Heidelberg New York: Springer, url, doi:10.1007/11890348_23
