Title: Wi-Fi Enabled Edge Intelligence Framework for Smart City Traffic Monitoring using Low-Power IoT Cameras Authors: Raphael Walcher, Kurt Horvath, Dragi Kimovski, Stojan Kitanov Abstract: Real-time traffic monitoring in smart cities demands ultra-low latency processing to support time-critical decisions such as incident detection and congestion management. While cloud-based solutions offer robust computation, their inherent latency […]
Title: 6G Network O-RAN Energy Efficiency Performance Evaluation Authors:Ivan Petrov, Kurt Klaus Horvath, Stojan Kitanov, Dragi Kimovski, Fisnik Doko, Toni Janevski Abstract: The Open Radio Access Network (O-RAN) paradigm introduces disaggregated and virtualized RAN elements connected through open interfaces, enabling AI-driven optimization across the RAN. It allows flexible energy management strategies by leveraging intelligent RIC […]
Paper Title: STEP-MR: A Subjective Testing and Eye-Tracking Platform for Dynamic Point Clouds in Mixed Reality Conference Details: 32nd International Conference on Multimedia Modeling; Jan 29 – Jan 31, 2026; Prague, Czech Republic Authors: Shivi Vats (AAU, Austria), Christian Timmerer (AAU, Austria), Hermann Hellwagner (AAU, Austria) Abstract: The use of point cloud (PC) streaming in mixed reality (MR) environments […]
Paper Title: Eye-Tracking, Quality Assessment, and QoE Prediction Models for Point Cloud Videos: Extended Analysis of the ComPEQ-MR Dataset Link: https://ieeexplore.ieee.org/document/11263821 Authors: Shivi Vats (AAU, Austria), Minh Nguyen (Fraunhofer FOKUS, Berlin), Christian Timmerer (AAU, Austria), Hermann Hellwagner (AAU, Austria) Abstract: Point cloud videos, also termed dynamic point clouds (DPCs), have the potential to provide immersive experiences with six […]
Predicting Encoding Energy from Low-Pass Anchors for Green Video Streaming Authors: Zoha Azimi (AAU, Austria), Reza Farahani (AAU, Austria), Vignesh V Menon (Fraunhofer HHI, Berlin), Christian Timmerer (AAU, Austria) Event: 1st International Workshop on Intelligent and Scalable Systems Across the Computing Continuum (ScaleSys ’25), November 18, 2025, Vienna, Austria, https://scalesys2025.itec.aau.at/ Abstract: Video streaming now represents the dominant share of Internet traffic, […]
Title: Data-Efficient Learning for Generalizable Surgical Video Understanding Author: Sahar Nasirihaghighi Venue: Doctoral Consortium MICCAI 2025, 23 – 27 September 2025, Daejeon, South Korea Abstract: Advances in surgical video analysis are transforming operating rooms into intelligent, data-driven environments. Computer-assisted systems now support the full surgical workflow, from preoperative planning to intraoperative guidance and postoperative assessment. However, developing robust and […]
Title: GynSurg: A Comprehensive Gynecology Laparoscopic Surgery Dataset Authors: Sahar Nasirihaghighi, Negin Ghamsarian, Leonie Peschek, Matteo Munari, Heinrich Husslein, Raphael Sznitman, Klaus Schoeffmann Venue: ACM Multimedia 2025, 27 – 31 October 2025, Dublin, Ireland Abstract: Recent advances in deep learning have transformed computer-assisted intervention and surgical video analysis, driving improvements not only in surgical training, intraoperative decision support, and patient outcomes, but also in postoperative documentation […]
1st Edition of the ScaleSys Workshop, International Workshop on Intelligent and Scalable Systems across the Computing Continuum @ The 15th International Conference on the Internet of Things ⭐ Keynotes: Atakan Aral (University of Veinna), Scaling Brain-Inspired Edge Computing Lauri Lovén (University of Oulu), Agentic Edge Intelligence: Past, Present and Future
On November 14, Dr Felix Schniz held a workshop for Master Students wishing to pursue an academic career related to game studies and game engineering. Invited by ÖH representatives, he focused on the first conference presentation, including topics such as abstract writing, conference etiquette, and publishing a conference paper.
Title: Agentic Edge Intelligence: A Research Agenda Authors: Lauri Lovén, Reza Farahani, Ilir Murturi, Stephan Sigg, Schahram Dustdar Abstract: Agentic AI is rapidly transforming autonomous decision-making, yet its deployment across the edge-cloud continuum remains poorly understood. This paper introduces the concept of agentic edge intelligence, an emerging paradigm in which autonomous agents operate across the computing […]