We are the Sensing Group, part of the Institute of Computer Science in Vorarlberg (ICV), within the School of Computer Science at the University of St. Gallen (HSG), in Dornbirn.
Our research explores the different categories of sensors and their communication-related aspects in a wide range of real-world applications, under the lens of performance, efficiency, and security. We actively collaborate with industry partners in the Vorarlberg region and with research groups within the SCS and beyond.
Reading the Wi-Fi, RF, acoustic, and vibration signals a space already carries to understand people, activity, and machines, and finding the limits of what each modality can reveal.
We investigate what wireless and sensor systems fundamentally leak, and how to design architectures that keep inference private, on-device, and under the user's control.
Turning the partial, distrustful views of independent parties into reliable collective defence with no central authority, from cooperative DDoS mitigation to resilient off-grid communication.
Our demonstration Tracing a DSM-5 Depression Assessment from Score to Formula on Edge Hardware has been accepted at IEEE WiMob 2026, the 22nd International Conference on Wireless and Mobile Computing, Networking and Communications, in …
Karim Khamaisi’s demonstration OpenCSI: A Self-Calibrating, Cross-Hardware WiFi Sensing Mesh was accepted at the 51st IEEE Conference on Local Computer Networks (LCN 2026), taking place October 7 to 9, 2026 in Coimbra, Portugal. It …
One of the frustrations of working with agents is that they forget. Every Claude Code [1] session starts fresh, from a system prompt, a project file, and whatever notes you maintain, and all of them share one property, that someone has to …
The latest issue of Alma (3/2026, “Trends”) features our work in its TechTonic column, titled “Der KI wachsen Ohren in Wasserkraftwerken” (“AI grows ears in hydropower plants”). Alma is the quarterly …
Zakaria Omarar completed his Master’s thesis, Multimodal Sensing for Acoustic–Vibration Based Fault Localization in Hydropower (PDF). The thesis combines microphone arrays and vibration sensors to detect and localize faults, and asks …
We currently have one PhD position open. Prospective students, collaborators, and industry partners are welcome to get in touch.
