Today Jennifer Simonjan successfully defended her PhD thesis entitled Resource-efficient and Resilient Self-Calibration in Distributed Visual Sensor Networks. The committee was composed by Prof. Hermann Hellwagner (chair), Prof. Gian Pietro Picco (Univ. Trento) and Prof. Wilfried Elmenreich. Let’s congratulate our most recent PhD graduate!
Author: Bernhard Rinner
About 50 people participated in the NES homecoming event on October 11, 2019. Former PhD students and PostDocs came to Klagenfurt for a reunion with their alma mater. The reunion started with a lab tour, where staff members presented recent topics in research and teaching at our institute. The demonstrations […]
An interview with Subhan Ullah by Romy Müller To simplify our daily routines, devices designed for the “Internet of Things (IoT)” are usually equipped with cameras that can record images and videos, and transmit these to other devices. Subhan Ullah’s research focuses on increasing the security of these systems, which […]
Today Subhan Ullah successfully defended his PhD thesis entitled Secure Camera Nodes for IoT Applications. Subhan participated in our Erasmus Mundus Doctoral School on Interactive and Cognitive Environements. The committee was composed by Prof. Wilfried Elmenreich (chair), Prof. Lucio Marcenaro (University of Genua) and Prof. Bernhard Rinner. Let’s congratulate our […]
Many multi-camera applications rely on the knowledge of the spatial relationship among the individual nodes. However, establishing such a network-wide calibration is typically a time-consuming task and requires user interaction. In her recent work, Jennifer Simonjan developed a decentralized and resource-aware algorithm for estimating the poses of all camera nodes […]
What has started as a bachelor thesis on camera networks has evolved into a startup company with a staff of five people. Bernhard Rinner In 2014 Michael Gruber started his bachelor thesis at the Pervasive Computing group by investigating different software tools for simulating distributed algorithms in multi-camera networks. Together […]