Title: Serverless Everywhere: A Comparative Analysis of WebAssembly Workflows Across Browser, Edge, and Cloud Authors: Mario Colosi, Reza Farahani, Lauri Lovén, Radu Prodan, Massimo Villari Abstract: WebAssembly (Wasm) is a binary instruction format that enables portable, sandboxed, and near-native execution across heterogeneous platforms, making it well-suited for serverless workflow execution on browsers, edge nodes, and […]
Title: Toward Sustainability-Aware LLM Inference on Edge Clusters Authors: Kolichala Rajashekar, Nafiseh Sharghivand, Radu Prodan, Reza Farahani Abstract: Large language models (LLMs) require substantial computational resources, leading to significant carbon emissions and operational costs. Although training is energy-intensive, the long-term environmental burden arises from inference, amplified by the massive global query volume. Cloud-based inference offers […]
On 22 October 2025, Dr Felix Schniz opened the newly founded Media Club of AAU with a spectacular guest lecture. Founded by the Department of English, the Media Club has been installed to offer students an extracurricular and multidisciplinary journey through a leitmotif every semester. Starting with “Dystopia” in Winter 2025, Felix Schniz took the […]
We are happy to announce that our tutorial “Serverless Orchestration on the Edge-Cloud Continuum: From Small Functions to Large Language Models” (by Reza Farahani) has been accepted for IEEE/ACM UCC 2025, which will take place in Nantes, France, in December 2025. Venue: IEEE/ACM International Conference on Utility and Cloud Computing (UCC) (https://ucc-conference.org/) Abstract: Serverless computing […]
NeVES: Real-Time Neural Video Enhancement for HTTP Adaptive Streaming IEEE VCIP 2025 December 1 – December 4, 2025 Klagenfurt, Austria [PDF] Daniele Lorenzi, Farzad Tashtarian, Christian Timmerer Abstract: Enhancing low-quality video content is a task that has raised particular interest since recent developments in deep learning. Since most of the video content consumed worldwide is delivered […]
Perceptual Quality Assessment of Spatial Videos on Apple Vision Pro ACMMM IXR 2025 October 27 – October 31, 2025 Dublin, Ireland [PDF] Afshin Gholami, Sara Baldoni, Federica Battisti, Wei Zhou, Christian Timmerer, Hadi Amirpour Abstract: Immersive stereoscopic/3D video experiences have entered a new era with the advent of smartphones capable of capturing spatial videos, advanced video […]
SVD: Spatial Video Dataset ACM Multimedia 2025 October 27 – October 31, 2025 Dublin, Ireland [PDF] MH Izadimehr, Milad Ghanbari, Guodong Chen, Wei Zhou, Xiaoshuai Hao, Mallesham Dasari, Christian Timmerer, Hadi Amirpour Abstract: Stereoscopic video has long been the subject of research due to its ability to deliver immersive three-dimensional content to a wide range of […]
Nature-1k: The Raw Beauty of Nature in 4K at 60FPS ACM Multimedia 2025 October 27 – October 31, 2025 Dublin, Ireland [PDF] Mohammad Ghasempour (AAU, Austria), Hadi Amirpour (AAU, Austria), Christian Timmerer (AAU, Austria) Abstract: The push toward data-driven video processing, combined with recent advances in video coding and streaming technologies, has fueled the need for diverse, large-scale, and high-quality video […]
Receiving Kernel-Level Insights via eBPF: Can ABR Algorithms Adapt Smarter? Würzburg Workshop on Next-Generation Communication Networks (WueWoWAS) 2025 6 – 8 Oct 2025, Würzburg, Germany [PDF] Mohsen Ghasemi (Sharif University of Technology, Iran); Daniele Lorenzi (Alpen-Adria-Universität Klagenfurt, Austria); Mahdi Dolati (Sharif University of Technology, Iran); Farzad Tashtarian (Alpen-Adria Universität Klagenfurt, Austria); Sergey Gorinsky (IMDEA Networks Institute, Spain); Christian Timmerer (Alpen-Adria-Universität Klagenfurt & Bitmovin, Austria) Abstract: The rapid […]
Cross-Modal Scene Semantic Alignment for Image Complexity Assessment British Machine Vision Conference (BMVC) 2025 November, 2025 Sheffield, UK [PDF] Yuqing Luo, YIXIAO LI, Jiang Liu, Jun Fu, Hadi Amirpour, Guanghui Yue, Baoquan Zhao, Padraig Corcoran, Hantao Liu, Wei Zhou Abstract: Image complexity assessment (ICA) is a challenging task in perceptual evaluation due to the subjective nature of human perception and the inherent semantic diversity in […]