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
(2026). Platform and Study Design for Adaptive EMA Using Smart Glasses to Monitor Affective States. Proceedings of the 24th Annual International Conference on Mobile Systems, Applications and Services Workshops, MobiSys Workshops 2026, University of Cambridge, Cambridge, United Kingdom, June 21-25, 2026.
(2026). The Power of 10: New Rules for the Digital World. CoRR.
(2025). A Review of Methods for Unobtrusive Measurement of Work-Related Well-Being. Mach. Learn. Knowl. Extr..
(2025). A Survey on Federated Learning in Human Sensing. CoRR.
(2025). Causal Concept Graph Models: Beyond Causal Opacity in Deep Learning. The Thirteenth International Conference on Learning Representations, ICLR 2025, Singapore, April 24-28, 2025.
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(2025). Counterfactual Concept Bottleneck Models. The Thirteenth International Conference on Learning Representations, ICLR 2025, Singapore, April 24-28, 2025.
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(2025). LIFETRACE: A Longitudinal Multimodal Dataset on Daily Physical Activity, Well-Being, and Habits. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol..
(2025). On the interplay of Explainability, Privacy and Predictive Performance with Explanation-assisted Model Extraction. CoRR.
(2025). On the Interplay of Explainability, Privacy and Predictive Performance with Explanation-assisted Model Extraction. Joint Proceedings of the xAI 2025 Late-breaking Work, Demos and Doctoral Consortium co-located with the 3rd World Conference on eXplainable Artificial Intelligence (xAI 2025), Istanbul, Turkey, July 9-11, 2025.
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(2024). AnyCBMs: How to Turn Any Black Box into a Concept Bottleneck Model. Joint Proceedings of the xAI 2024 Late-breaking Work, Demos and Doctoral Consortium co-located with the 2nd World Conference on eXplainable Artificial Intelligence (xAI-2024), Valletta, Malta, July 17-19, 2024.
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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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Postdoc position: XAI-FinCrime

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

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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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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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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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