The approval of this project represents a milestone in the success story of the Departments of Mathematics and Statistics at the University of Klagenfurt. It’s also a great achievement on the part of the participating professors and particularly for the 32-year-old coordinator, Michaela Szölgyenyi. Starting in autumn 2020, the project will employ around one dozen international young scientists in Klagenfurt.
The master thesis will contribute to an experimental research study carried out at the Department of Management Control and Strategic Management. You will work on the platform for an interactive online experiment that involves human decision makers in a laboratory setting. The focus of the experimental study is in the field of task formation in a complex environment.
As soon as possible upon individual agreement
Strong programming skills
Supervision of the master thesis
Univ.-Prof. Dipl.-Ing. Dr. Dietmar Jannach
(dietmar [dot] jannach [at] aau [dot] at)
Department of Applied Informatics
Assoc. Prof. Dr. Alexandra Rausch
(alexandra [dot] rausch [at] aau [dot] at)
Assoc. Prof. Dr. Stephan Leitner
(stephan [dot] leitner [at] aau [dot] at)
Department of Management Control and Strategic Management
The authors J. C. Chedjou, K. Kyamakya und N. A. Akwir could publish in the top-class Open Access Journal “IEEE Access” a journal paper with the title: “An Efficient, Scalable and Robust Neuro-Processor Based Concept for Solving Single-Cycle Traveling Salesman Problems in Complex and Dynamically Reconfigurable Graph Networks,”.
We develop, for the first time, and validate through some illustrative examples a new neuro-processor based concept for solving (single-vehicle) traveling salesman problems (TSP) in complex and dynamically reconfigurable graph networks. Compared to existing/competing methods for solving TSP, the new concept is accurate, robust, and scalable. Also, the new concept guarantees the optimality of the TSP solution and ensures subtours avoidance and thus an always-convergence to a single-cycle TSP solution. These key characteristics of the new concept are not always satisfactorily addressed by the existing methods for solving TSP. Therefore, the main contribution of this paper is to develop a systematic analytical framework to model (from a nonlinear dynamical perspective) the TSP, avoid/eliminate subtours, and guarantee/ensure convergence to the true/exact TSP solution. Using the stability analysis (nonlinear dynamics), analytical conditions are obtained to guarantee both robustness and convergence of the neuro-processor. Besides, a bifurcation analysis is carried out to obtain ranges (or windows) of parameters under which the neuro-processor guarantees both TSP solution’s optimality and convergence to a single-cycle TSP solution. In order to validate the new neuro-processor based concept developed, two recently published application examples are considered for both benchmarking and validation as they are solved by using the developed neuro-processor.
More information: https://ieeexplore.ieee.org/document/8995468
On the 15 January 2020, the research groups of the Institutes of Mathematics and Statistics gave an insight into their current research. Interested students were also given an overview of which topics are suitable for a bachelor or master thesis.
The student representatives provided coffee and cake, so that discussions on research, course offerings and curriculum could be held in a pleasant atmosphere even after the event.
Moving intelligently, robots deployed in a warehouse shift crates from A to B – without getting in each other’s way. What sounds like a very simple example has only recently been made possible thanks to new tools developed in the EU Horizon 2020 project CPSwarm. The project is now in its final phase and the “toolkit” is freely available online for all developers.
We are very happy to welcome our new colleague Martin Stettinger in the Department of Informatics Systems. Martin has finished his PhD in Informatics at the Graz University of Technology. He started his work in the Interactive Systems research group in January 2020 in the Mass Customization 4.0 project. Martin will focus his work on the development of innovative products and services to support small and medium-
A large number of critical infrastructure facilities are located in cities and their surroundings, providing essential services in a compact geographical space and resulting in mutual physical and logical dependencies. The provision of services such as electricity, gas, water, communication, food, fuel, road or rail, in particular, is achieved by operating extensive networks. In the FFG-funded project ODYSSEUS, Stefan Rass (Institute of Applied Informatics) and his team are working on developing a framework for a simulation designed to forecast the consequences of attacks on such interlinked infrastructure facilities.
Researchers investigating autonomous drones can now use a cutting-edge research infrastructure at the University of Klagenfurt, measuring up to 150 square meters and a height of ten meters. This is a tremendous boost for the “Drone-Hub Klagenfurt”, already known for hosting some of the world’s top players in the field.
The paper by Claudia Steinberger and Joachim Frießer “Why and How to Capture the Semantics of Web User Interfaces” was regarded as one of the best papers of ICWI19 and received the Best Paper Award on November 9, 2019 in Cagliari.
Alle Infos findest Du hier: JOBINSERAT _ Webprogrammierer 2019.