معرفی
Marc Langheinrich is a Full Professor and Dean at the Faculty of Computer Science, Università della Svizzera italiana (USI), where he also leads the Research Group for Ubiquitous Computing. His academic journey includes a PhD from ETH Zurich and prior roles at NEC Research and the University of Washington. He is affiliated with the Institute of Information Systems (SYS) at USI.
Education:
- PhD (Dr. sc.) in Computer Science, ETH Zurich, Switzerland (2005)
- Master’s degree (Dipl.-Inf.) in Computer Science, University of Bielefeld, Germany (1997)
Marc Langheinrich's research centers on privacy, security, and usability in ubiquitous and pervasive computing environments. His work explores how communication protocols, user interfaces, and system designs can protect personal data while enabling seamless interactions with smart devices. Key interests include lifelogging, memory augmentation, IoT privacy, and ethical design frameworks. He investigates technical and human factors in privacy-aware systems, often integrating insights from human-computer interaction and social computing.
His recent publications demonstrate a strong focus on privacy-preserving machine learning (e.g., federated learning), mobility modeling, affective computing, and dataset development (e.g., LAUREATE). The research spans theoretical frameworks and practical implementations, often involving wearable sensing, multimodal data, and real-world user studies.
Scientific Awards:
- Best Paper Award at DIS '18 for Roaming Objects: Encoding Digital Histories of Use into Shared Objects and Tools
- Best Paper Honorable Mention at MUM '16 for Design and evaluation of a wearable AR system for sharing personalized content on ski resort maps
Marc Langheinrich has supervised numerous PhD and Master’s students, including Anton Fedosov, Evangelos Niforatos, and Matias Laporte. He has led multiple funded research projects in privacy, IoT, and human-computer interaction. He serves as Editor-in-Chief of IEEE Pervasive Magazine and on the steering committee of the IoT Conference Series, reflecting his leadership in the academic community.
He leads the Research Group for Ubiquitous Computing at USI, which focuses on privacy-aware systems, digital memory augmentation, and interactive public displays. The group develops technologies that enhance user control over personal data while enabling novel applications in smart environments.
