Entries by Verena Stranner

University of Vienna Game Lab Visits Klagenfurt

On 27 February, Sabrina Größing and Dr Felix Schniz welcomed a delegation from the University of Vienna’s Game Lab to Klagenfurt. After exchanging origin stories, concepts and objectives, the warm‑hearted meeting quickly revealed shared ambitions and core values. The participants agreed to schedule follow‑up visits to both Vienna and Klagenfurt, deepening the partnership with the Klagenfurt Critical Game Lab […]

Interview @ Deutschlandfunk Kultur

On 29 January, Dr Felix Schniz held an interview on the topic of Spirituality and Video Games for Deutschlandfunk Kultur. The interviews discussed his las publications and offered an insight into how technology, first and foremost video games, can help with the contemporary crisis of faith.

Paper accepted @ IEEE Access

Title: Lightweight WebAssembly-Based Intrusion Detection for Zero Trust Edge Networks Authors: Jonathan Weber (TU Wien, Austria), Ilir Murturi (University of Prishtina, Kosova), Xhevahir Bajrami (University of Prishtina, Kosova), Reza Farahani (University of Klagenfurt, Austria), Praveen Kumar Donta (Stockholm University, Sweden), Schahram Dustdar (TU Wien, Austria) Venue: IEEE Access Abstract: IoT devices deployed across computing continuum infrastructures present significant security challenges due to resource constraints and decentralization. Traditional centralized […]

Paper accepted @ Internet Technology Letter

Title: Performance Evaluation of Privacy Models for Data Streams on the Edge Authors: Ilir Murturi, Boris Sedlak, Reza Farahani, Schahram Dustdar Venue: Internet Technology Letter Abstract: Recent advances in edge computing enable data stream privacy enforcement directly on resource‐constrained devices, reducing latency and the exposure of sensitive information. In this paper, we extend and validate […]

Paper accepted @ MMSys´26

Paper title: AI-Assisted Energy-Efficient Multimedia Systems Authors: Zoha Azimi Venue:  (Doctoral Symposium) MMSys’26, The 17th ACM Multimedia System Conference, Hong Kong SAR, 4th – 8th April 2026 Abstract: Video streaming constitutes the majority of today’s Internet traffic and is expected to continue growing in scale, complexity, and environmental impact. As video systems, from encoding to delivery, consume substantial computational resources, their energy […]

Paper accepted @ Expert Systems With Applications

Adaptive Compressed Domain Video Encryption Expert Systems With Applications Mohammad Ghasempour (AAU, Austria), Yuan Yuan (Southwest Jiaotong University), Hadi Amirpour (AAU, Austria), Hongjie He (Southwest Jiaotong University), and Christian Timmerer (AAU, Austria) Abstract: With the ever-increasing amount of digital video content, efficient encryption is crucial to protect visual content across diverse platforms. Existing methods often incur excessive bitrate overhead due to content variability. […]

Paper accepted @ IEEE Transactions on Multimedia

Title:  Indistinguishability Analysis of JPEG Image Encryption Schemes Authors: Yuan Yuan,  Lingfeng Qu, Ji Zhang, Ningxiong Mao, Hadi Amirpour Abstract: JPEG images are widely used for communication and storage, making secure encryption essential for privacy protection. Existing JPEG encryption studies primarily rely on empirical metrics such as visual distortion, key space, or correlation, while overlooking the […]

Paper accepted @ IEEE/IFIP Network Operations and Management Symposium (NOMS) 2026

QoE Modeling in Volumetric Video Streaming: A Short Survey IEEE/IFIP Network Operations and Management Symposium (NOMS) 2026 Rome, Italy- 18 – 22 May 2026 [PDF] Mojtaba Mozhganfar (University of Tehran),  Masoumeh Khodarahmi (IMDEA),  Daniele Lorenzi (Bitmovin),  Mahdi Dolati (Sharif University of Technology), Farzad Tashtarian (Alpen-Adria-Universität Klagenfurt),  Ahmad Khonsari (University of Tehran), Christian Timmerer (Alpen-Adria-Universität Klagenfurt) Abstract Volumetric video streaming enables six […]

Paper accepted @ IEEE/IFIP Network Operations and Management Symposium (NOMS) 2026

Resource Management for Distributed Binary Neural Networks in Programmable Data Plane IEEE/IFIP Network Operations and Management Symposium (NOMS) 2026 Rome, Italy- 18 – 22 May 2026 [PDF] Fatemeh Babaei (Sharif University of Technology),  Mahdi Dolati (Sharif University of Technology), Mojtaba Mozhganfar (University of Tehran),  Sina Darabi (Università della Svizzera Italiana),  Farzad Tashtarian (University of Klagenfurt) Abstract Programmable networks enable the deployment of customized network […]