Marc Langheinrich

Marc Langheinrich

Professor

Marc Langheinrich is a Full Professor for Computer Science at the Università della Svizzera italiana (USI) in Lugano, Switzerland, where he co-leads the People-Centered Computing Lab together with Prof. Silvia Santini. Marc received a masters degree (Diplom) in Computer Science from the University of Bielefeld, Germany, in 1997, and his PhD (Dr. sc.) from the ETH Zürich, Switzerland, in 2005. Starting in the fall of 1995, he spent a year as a Fulbright Scholar at the University of Washington, where he also completed his thesis work in the fields of information retrieval and software agents. In the fall of 1997 he joined NEC Research in Japan, where he worked on projects involving personalization and electronic commerce. From October 1999 to August 2008 he was a researcher at the Institute for Pervasive Computing at ETH Zürich, and he joined USI in September 2008.

Research interests

Marc’s main research interest lies at the intersection of privacy and ubiquitous computing. In a world full of invisible sensory systems, comprehensive digital dossiers could be easily and inconspicuously collected. This poses several challenges to the design of ubiquitous systems: Which communication protocols ensure adequate levels of privacy protection? How can user interfaces be structured to give people control over their personal information? And how feasible is comprehensive protection in a world of countless “smart” devices?

Professional service

  • Editor-in-Chief (2018-2023), IEEE Pervasive Computing
  • Editor, Dagstuhl Open Access Series in Informatics (OASIcs)
  • Director, Master in Management and Informatics, USI Lugano
  • Director, Master in Financial Technology and Computing, USI Lugano
  • Member, Equal Opportunities Committee, USI Lugano
Publications
(2024). Differential Privacy for Anomaly Detection: Analyzing the Trade-off Between Privacy and Explainability. CoRR.
(2024). Differential Privacy for Anomaly Detection: Analyzing the Trade-Off Between Privacy and Explainability. Explainable Artificial Intelligence - Second World Conference, xAI 2024, Valletta, Malta, July 17-19, 2024, Proceedings, Part III.
(2024). Federated Behavioural Planes: Explaining the Evolution of Client Behaviour in Federated Learning. Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, BC, Canada, December 10 - 15, 2024.
URL
(2024). Generative Models for Counterfactual Explanations. Proceedings of the KDD Workshop on Human-Interpretable AI 2024 co-located with 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2024), Centre de Convencions Internacional de Barcelona, Spain, August 26, 2024.
PDF
(2024). How to Validate XAI in Longitudinal Studies?. Companion of the 2024 on ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp Companion 2024, Melbourne, VIC, Australia, October 5-9, 2024.
(2024). Multi-Frequency Federated Learning for Human Activity Recognition Using Head-Worn Sensors. International Conference on Intelligent Environments, IE 2024, Ljubljana, Slovenia, June 17-20, 2024.
(2023). A Federated Unsupervised Personalisation for Cognitive Workload Estimation. Proceedings of the 22nd International Conference on Mobile and Ubiquitous Multimedia, MUM 2023, Vienna, Austria, December 3-6, 2023.
(2023). Federated Learning for Privacy-aware Cognitive Workload Estimation. Proceedings of the 22nd International Conference on Mobile and Ubiquitous Multimedia, MUM 2023, Vienna, Austria, December 3-6, 2023.
(2022). Affect and Learning in the LAUREATE Dataset. Adjunct Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2022 ACM International Symposium on Wearable Computers, UbiComp/ISWC 2022, Cambridge, United Kingdom, September 11-15, 2022.
(2022). BayCon: Model-agnostic Bayesian Counterfactual Generator. Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, IJCAI 2022, Vienna, Austria, 23-29 July 2022.
(2022). CONFIG.SYS. IEEE Pervasive Comput..
(2022). Exploring LAUREATE - the Longitudinal multimodAl stUdent expeRience datasEt for AffecT and mEmory research. Adjunct Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2022 ACM International Symposium on Wearable Computers, UbiComp/ISWC 2022, Cambridge, United Kingdom, September 11-15, 2022.
(2022). Federated Learning for Privacy-Aware Human Mobility Modeling. Frontiers Artif. Intell..
(2022). Hello, Goodbye. IEEE Pervasive Comput..
(2022). Introduction of the LAUREATE dataset: the Longitudinal multimodAl stUdent expeRience datasEt for AffecT and mEmory research. Adjunct Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2022 ACM International Symposium on Wearable Computers, UbiComp/ISWC 2022, Cambridge, United Kingdom, September 11-15, 2022.
(2022). Technobubble. IEEE Pervasive Comput..
(2021). A Longitudinal Study of Pervasive Display Personalisation. ACM Trans. Comput. Hum. Interact..
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.

avatar
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.

avatar
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.

avatar
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.

avatar
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.

avatar
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.

avatar
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.

avatar
Silvia Santini