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April 2, 2025

Prof. Seufert receives IEEE Senior Member Plaque

Today Prof. Seufert received the IEEE Senior Member Plaque. The IEEE Senior Member Award is given to professionals who have many years of experience and significant achievements in their field. It recognizes not only outstanding technical achievements, but also commitment and contribution to the IEEE community.

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Prof. Seufert has received the IEEE Senior Member Plaque
March 6, 2025

Prof. Seufert speaks at the IfI-colloquium at the 伟德国际_伟德国际1946$娱乐app游戏 of Zurich

Today, Prof. Michael Seufert will give a talk on Machine Learning-supported Network Management for User-centric Communication Networks at the IfI Colloquium at the 伟德国际_伟德国际1946$娱乐app游戏 of Zurich. In his talk, he will discuss how machine learning techniques can be used to optimize and control modern communication networks in order to improve the user experience.
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March 1, 2025

New research assistant at the Chair of Networked Embedded Systems and Communication Systems

We are pleased to welcome Samuel Hufen as a new research assistant at our chair starting today. We look forward to working together and wish him a great start!
Feb. 18, 2025

To Cap or Not to Cap: Bandwidth Capping Effects on Network Interactions and QoE of Competing Short Video Streams

Our research paper titled "To Cap or Not to Cap: Bandwidth Capping Effects on Network Interactions and QoE of Competing Short Video Streams," co-authored by our chair in collaboration with researchers from the 伟德国际_伟德国际1946$娱乐app游戏 of Würzburg and AT&T Labs in the USA, has been accepted to the 16th ACM Multimedia Systems Conference (MMSys).
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Jan. 27, 2025

Resource Allocation is All You Need: The Routing and Scheduling Problem in 6TiSCH Networks

The paper "Resource Allocation is All You Need: The Routing and Scheduling Problem in 6TiSCH Networks" has been accepted for presentation at the IEEE Wireless Communications and Networking Conference (WCNC) 2025.
In a collaboration between the Organic Computing and NETCOM research groups, a method was developed to maximize the number of latency-critical data flows in 6TiSCH networks.
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Resource Allocation is All You Need
Oct. 28, 2024

Agree to Disagree: Exploring Consensus of XAI Methods for ML-based NIDS

Today our paper “Agree to Disagree: Exploring Consensus of XAI Methods for ML-based NIDS” was presented at the 1st Workshop on Network Security Operations (NecSecOr). This paper examines the effectiveness and consensus of various explainable AI (XAI) methods in enhancing the interpretability of machine learning-based Network Intrusion Detection Systems (ML-NIDS), finding that while some methods align closely, others diverge, underscoring the need for careful selection to build trust in real-world cybersecurity applications.
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Oct. 28, 2024

Certainly Uncertain: Demystifying ML Uncertainty for Active Learning in Network Monitoring Tasks

Today our paper “Certainly Uncertain: Demystifying ML Uncertainty for Active Learning in Network Monitoring Tasks” got presented at the 20th International Conference on Network and Service Management (CSNM). This paper explores the use of Active Learning (AL) to enhance Machine Learning (ML) models in network monitoring by incorporating expert input, aiming to increase model trust, adaptability, and performance, with a comprehensive evaluation of uncertainty-based AL approaches across various datasets and scenarios.
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Certainly Uncertain: Demystifying ML Uncertainty for Active Learning in Network Monitoring Tasks
Oct. 7, 2024

Prof. Seufert Once Again Ranked Among the Top 2% Scientists Worldwide (Stanford/Elsevier List)

Prof. Seufert was ranked in the prestigious Stanford/Elsevier Top 2% Scientists list for the fourth time in a row. This list includes the world's 100,000 highest ranked scientists, as well as the top 2% in each of 174 disciplines. The repeated listing of Prof. Seufert underlines the outstanding research at his chair and the 伟德国际_伟德国际1946$娱乐app游戏 of Augsburg.
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Sept. 2, 2024

Research Article in ACM TOMM on Improved Bandwidth Utilization and QoE for Video Streaming

Our latest research paper in ACM TOMM focuses on how video streaming systems can better utilize available bandwidth to provide users with an improved Quality of Experience (QoE).
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COBIRAS: Offering a Continuous Bit Rate Slide to Maximize DASH Streaming Bandwidth Utilization
July 22, 2024

(Not) The Sum of Its Parts: Relating Individual Video and Browsing Stimuli to Web Session QoE

Our paper “(Not) The Sum of Its Parts: Relating Individual Video and Browsing Stimuli to Web Session QoE” got presented at the 16th International Conference on Quality of Multimedia Experience (QoMEX). This paper investigates the Quality of Experience (QoE) in web sessions that combine both web browsing and video streaming stimuli, addressing the gap in understanding session-level QoE and proposing models to estimate it based on individual stimuli.
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(Not) The Sum of Its Parts: Relating Individual Video and Browsing Stimuli to Web Session QoE
July 22, 2024

QoEXplainer: 伟德国际_伟德国际1946$娱乐app游戏iating Explainable Quality of Experience Models with Large Language Models

Unser Paper ?QoEXplainer: 伟德国际_伟德国际1946$娱乐app游戏iating Explainable Quality of Experience Models with Large Language Models“ wurde auf der 16th International Conference on Quality of Multimedia Experience (QoMEX) vorgestellt. Das Papier stellt QoEXplainer vor, ein Dashboard, das gro?e Sprachmodelle und die Verwendung von 伟德国际_伟德国际1946$娱乐app游戏iatoren verwendet, um erkl?rbare, datengesteuerte Quality of Experience (QoE) Modelle zu veranschaulichen und den Benutzern zu helfen, die Beziehungen zwischen den Modellen durch eine interaktive Chatbot-Schnittstelle zu verstehen.
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QoEXplainer: 伟德国际_伟德国际1946$娱乐app游戏iating Explainable Quality of Experience Models with Large Language Models
July 22, 2024

Sitting, Chatting, Waiting: Influence of Loading Times on Mobile Instant Messaging QoE

Our paper “Sitting, Chatting, Waiting: Influence of Loading Times on Mobile Instant Messaging QoE” got presented at the 16th International Conference on Quality of Multimedia Experience (QoMEX). The paper examines the relationship between loading times and user experience (QoE) in mobile instant messaging applications and shows that longer loading times reduce user acceptance and satisfaction, although they do not directly influence QoE ratings.
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