Archived News

REAKT ISA is a joint project with HAW Kiel and the Northern Institute for Tourism in Kiel, funded by BMBFTR. In the ISA project, we jointly develop and test a highly automated, intelligent monitoring and communication system to support, secure, and inform passengers in autonomous local transport trains. The goal is the early detection of safety-critical situations and to provide trustworthy, user-oriented assistance during regular operation, for example, in cases of uncertainty or questions.

Today, Yannick Wölker joins our institute as a research assistant. We warmly welcome him and wish him every success during his time at TUHH.

Congratulations to our PhD students Kainat Altaf and Momin Ali for receiving the best paper award in the distributed systems track at ACM SAC (41st ACM, Association for Computing Machinery/ SIGAPP Symposium On Applied Computing) for their paper "ShipNN: On Device, Ship Identification from Underwater Noise". This work was co-authored by Kainat Altaf, Momin Ali, Laura Harms, Christian Renner, and Olaf Landsiedel.

We congratulate Dr. Tayyaba Zainab on successfully defending her PhD thesis at Kiel University: "From Passive Data Collection to Sensor-Level Intelligence: TinyML in Constrained IoT Environments". This thesis was in part funded by MarData and conducted in collaboration with Geomar.  Supervision: Prof. Dr. Olaf Landsiedel, TU Hamburg & Kiel University Dr. Jens Karstens, Geomar Dr. Laura Harms, Kiel University  Reviewers: Prof. Dr. Olaf Landsiedel, Kiel University Prof. Dr. Anna Förster, Bremen University  Examiner: Prof. Dr.-Ing. Kevin Köser, Kiel University Chairman of the defense: Prof. Dr. Sören Pirk, Kiel University

"From Raw Waveforms to on-device Earthquake Detection: Real-Time Seismic Data Analysis for MCUs" was just accepted at ACM ACM Transactions on Internet of Things (ACM TIOT). The paper presents an on-device earthquake detection system for microcontrollers, showing how raw seismological waveforms can be analyzed using AI  in real time directly on resource-constrained MCUs instead of relying on cloud processing. It targets fast, practical seismic event detection at the edge, reducing latency, communication overhead, and infrastructure demands for earthquake monitoring deployments. Congratulations to the team: Tayyaba Zainab, Patrick Rathje, Laura Harms, Lukas Schattenhofer, Jens Karstens, Olaf Landsiedel.