Enhancing Battery Health Monitoring in Battery Assembly Digital Twin (BATCAT)

26^th of November 2024 11:45 – 13:15 V.1.07

Dipl. Ing. Mohamed El Bahnasawi, B.Sc.

Wissenschaftlicher Mitarbeiter
Artificial Intelligence and Cybersecurity (AICS) | Production Systems (PROSYS)
Institute for Smart System Technologies (SST) | Transportation Informatics Group (TIG )

Abstract:

This work is part of the BatCAT project, which aims to advance battery manufacturing through the development of digital twins by integrating multi-physics models, machine learning, and explainable AI. In Work Package 5, we focus on creating machine learning models to monitor battery health, specifically targeting key metrics such as State of Health (SOH) and Remaining Useful Life (RUL). Current efforts include creating and testing hybrid models like Cellular Neural Networks (CeNNs), Transformers, and Autoencoders, which are designed to capture both spatial and temporal patterns in battery systems. To ensure transparency and trust in the predictions, we integrate explainable AI methods, while maintaining high performance. This work contributes to reliable and interpretable tools for monitoring battery health in the battery assembly digital twin (BatCat).

„The Codec of Celovec: Exploring Local Climate (Re-)Actions and Their Implications“

November 5^th 2024 at 11:45 in V.1.07.

Johannes Kröger, BA MA (Institut für Kulturanalyse, IFK – Abteilung Empirische Kulturwissenschaft/Kulturanthropologie)

Abstract of the talk:

Klagenfurt’s aspiration to achieve climate neutrality by 2030 is undermined by its reliance on car-dependent infrastructure, fragmented governance, and policies that fail to foster genuine sustainability. While the city actively promotes various sustainability initiatives, these efforts often rely on compensatory measures—such as offsetting pollution through its natural resources—without addressing the deeper cultural and behavioral factors that drive environmental degradation. This situation raises important questions about the interactions between political structures, social dynamics, and individual behaviors, which together contribute to the gap between the city’s climate neutrality goals and actual environmental practices. Through an interdisciplinary approach, including digital tools, qualitative fieldwork, stakeholder interviews and an in-depth analysis of policy frameworks, this study aspires to offer insights that not only tackle local challenges but also contribute to wider debates on environmental justice and sustainable living at a global scale.

AI in Programming Education

June 25^th 2024 2.00-4.00pm HS outdoor Košuta

Univ.-Ass. Mag. Markus Alfred Wieser (Institute for Informatics Didactics)

Abstract:

Teaching programming poses significant challenges in both school and university contexts. This talk is about the potential of ChatGPT as a sustainable didactic tool to support students, freshmen, and teachers, focusing on the possibilities and problems using ChatGPT as guidance or solver in programming and the opportunities for evaluation and assessment, using ChatGPT.

Bio:

Markus Wieser is a University Assistant at the Institute for Informatics Didactics at the University of Klagenfurt, and his research focuses on the use of AI systems in the didactics of programming. He studied Informatics and Mathematics for a teaching degree at the University of Klagenfurt and is now writing his PhD Thesis in Informatics Didactics titled “Learning Programming in the Dawn of AI.”

Interaction with Artificially Intelligent Digital Humans

4 ^th of June 2024 11.45 – 13.15 HS Košuta (S.2.05 in case of rain)

Univ.-Ass. Tom Tuček, Bsc. Msc.