08:00 - 19:00 K Foyer HS1 Rechts
(OC 9a WIN_JKU)
QAE – Quantum Algorithm Engineering: Bridging the Gap to Industrial Applications
The COMET module Quantum Algorithm Engineering (QAE) closes the addressed gap connecting industrial applications with the existing quantum ecosystem and thus making the advantages of this new technology usable. To this end, the project is investigating for different areas of application (with a focus on combinatorial quantum optimisation and quantum machine learning) whether and which quantum algorithms are practically usable. In addition, the integration of quantum algorithms into hybrid systems is being researched, as well as the development of a necessary software environment that will ultimately provide all the tools needed to evaluate practical applications for quantum computers. This project requires investment in basic research on quantum algorithms, their applicability, advantages and disadvantages, and theoretical guarantees in combination with the development of methods and software tools.
Contact: Manuel Wimmer, Stefan Klikovits, Rajas Dalvi
CLEM - Combining Live and Exploratory Modeling
Behavioral models are widely used in science and engineering for representing different kinds of systems, such as software-intensive, cyber-physical, and economic systems. Such models usually need to be first designed, then implemented, and finally executed before results can be observed to answer particular questions about the systems. Each time the model is changed to reflect evolving requirements, alternative scenarios or potential improvements, the entire process must be restarted. The initial model state must be prepared and the full previous execution history must be replayed to see the effects on the results. Live modeling challenges the strict design-first/execute-later approach by enabling users to seamlessly transition between design and execution phases. This makes it possible to render the effects of a design change visible directly on an already running execution without requiring a full restart and replay of the execution history. Furthermore, combining live modeling with exploratory modeling enables the direct exploration of a model’s design space as well as its runtime states. This allows design alternatives to be compared in experimental settings and accelerates the exploration of the design space. This project develops a tool-supported methodology to enable live and exploratory modeling. In particular, scenarios such as the interactive use of live modeling in the context of the exploration and the efficient comparison of several alternative model designs will be studied for the first time. This sound combination of live and exploratory modeling will provide the necessary support for design space exploration, trade-off analysis, and decision making.
Contact: Manuel Wimmer, Stefan Klikovits, MohammadHadi Dehghani
Roots of Change
“Roots of Change” emphasizes that meaningful transformation begins with small, individual actions that take root, grow, and collectively shape a more sustainable future. Sustainability thus transforms from an abstract concept into a tangible, shared experience that everyone can see, feel, and contribute to daily. By using recycled plastic (JKU) for the flowerpots, the project creates a visible cycle that connects local waste streams with meaningful action. Specifically, JKU staff members and students receive small flowerpots made from recycled material, produced locally at the LIT Factory, in exchange for a personal sustainability pledge. Their individual actions are based on the understanding that small commitments are powerful catalysts for lasting behavioral change, especially when reinforced by positive experiences and shared visibility. These contributions are integrated into a digital platform, a JKU-run herb garden, an educational installation in the lecture hall building, and a demonstration garden showcasing the potential of plants to cool overheated campus areas. Together, these elements create a continuous feedback loop between individual behavior and collective progress, fostering a growing awareness of shared responsibility for sustainability at JKU.
Contact: Martin Reiter, Richard Heininger, Christian Stary
ACE - gAmified Coaching of project-based lEarning facilitators
Project-based learning (PBL) is a suitable learning format for supporting pedagogical and didactic development processes both at the individual learner level and at the organizational level of educational institutions. It enables all participants to benefit equally from the learning opportunities and supports them in critically engaging with new developments in our increasingly digital society. Coaching supports PBL instructors in implementing this methodology in a structured way together with their learners. Within this project, a web-based coaching tool is being developed, integrated into a metaverse application, and enhanced with gamification and visualization. It is designed to help instructors easily understand coaching and integrate it into their daily teaching practice. For the digital implementation of an existing coaching methodology in PBL, an engaging virtual learning environment will be created and tested with instructors.
Contact: Iniga Antonia Baum, Martin Melichar, Christian Stary
Foyer Hörsaal 1 Rechts - Keplergebäude, JKU Campus
Chairs
- Christian Stary - Johannes Kepler University Linz - christian.stary@jku.at
- Manuel Wimmer - Johannes Kepler University Linz - manuel.wimmer@jku.at
- Michael Schrefl - JKU Linz - schrefl@dke.uni-linz.ac.at
- Barbara Krumay - Johannes Kepler University Linz - barbara.krumay@jku.at
