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
(2021). Automatic Recognition of Flow During Work Activities Using Context and Physiological Signals. 9th International Conference on Affective Computing and Intelligent Interaction, ACII 2021, Nara, Japan, September 28 - Oct. 1, 2021.
(2021). Biometric recognition using wearable devices in real-life settings. Pattern Recognit. Lett..
(2021). Detecting Verbal and Non-Verbal Gestures Using Earables. UbiComp/ISWC ‘21: 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2021 ACM International Symposium on Wearable Computers, Virtual Event, September 21-25, 2021.
(2021). Hierarchical Classification and Transfer Learning to Recognize Head Gestures and Facial Expressions Using Earbuds. ICMI ‘21: International Conference on Multimodal Interaction, Montréal, QC, Canada, October 18-22, 2021.
(2020). A Multi-Sensor Approach to Automatically Recognize Breaks and Work Activities of Knowledge Workers in Academia. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol..
(2020). Detection of Artifacts in Ambulatory Electrodermal Activity Data. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol..
(2019). Evaluating the accuracy of heart rate sensors based on photoplethysmography for in-the-wild analysis. Proceedings of the 13th EAI International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2019, Trento, Italy, 20-23 May 2019.
(2019). INFAS: In-Network Flow mAnagement Scheme for SDN Control Plane Protection. IFIP/IEEE International Symposium on Integrated Network Management, IM 2019, Washington, DC, USA, April 09-11, 2019.
URL
(2019). Laughter Recognition Using Non-invasive Wearable Devices. Proceedings of the 13th EAI International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2019, Trento, Italy, 20-23 May 2019.
(2019). Whisper: Fast Flooding for Low-Power Wireless Networks. ACM Trans. Sens. Networks.
(2018). 6th DACH+ Conference on Energy informatics (EnInf 2017). Comput. Sci. Res. Dev..
(2018). Energy-efficient SDN control and visualization. 2018 IEEE/IFIP Network Operations and Management Symposium, NOMS 2018, Taipei, Taiwan, April 23-27, 2018.
(2018). REMO: Resource efficient distributed network monitoring. 2018 IEEE/IFIP Network Operations and Management Symposium, NOMS 2018, Taipei, Taiwan, April 23-27, 2018.
(2018). Selecting Individual and Population Models for Predicting Human Mobility. IEEE Trans. Mob. Comput..
(2018). Using Students' Physiological Synchrony to Quantify the Classroom Emotional Climate. Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, UbiComp/ISWC 2018 Adjunct, Singapore, October 08-12, 2018.
(2018). Whisper: Fast Flooding for Low-Power Wireless Networks. CoRR.
URL
(2017). Editorial. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol..
(2017). Energy-aware coflow and antenna scheduling for hybrid server-centric data center networks. IEEE International Conference on Communications, ICC 2017, Paris, France, May 21-25, 2017.
(2017). Every Byte Counts: Selective Prefetching for Mobile Applications. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol..
(2017). In-classroom self-tracking for teachers and students: preliminary findings from a pilot study. Adjunct Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers, UbiComp/ISWC 2017, Maui, HI, USA, September 11-15, 2017.
Related news

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