Remarkable success for Mathematics and Statistics at the University of Klagenfurt: funding for 14 new PhD students in the field of optimization in FWF doc.funds project

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.

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Master’s Thesis: Development of a software environment for an online study in management


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

Project team

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

IEEE Access Journal Paper: “An Efficient, Scalable and Robust Neuro-Processor Based Concept for Solving Single-Cycle Traveling Salesman Problems in Complex and Dynamically Reconfigurable Graph Networks,”

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:

Information event for students of Mathematics

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.

Lecture slides:

Presentation lectures on 15.1.2020
Dynamic Systems (ad Presentation lectures on 15.1.2020)


New tools for swarms of machines

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.   

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New Colleague @ IAS

Portrait: Martin Stettinger
Martin Stettinger

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-sized enter­pri­ses (SME) in ques­tions of mass cust­om­i­zation. Regard­ing ser­vices, tools are de­ve­loped to sur­vey the status of know­ledge in mass cust­o­mi­zation on the one hand, and to train comp­anies to extend their know­ledge in this do­main on the other hand. Regard­ing pro­ducts, Martin and coll­eagues will deve­lop a smart home con­fi­gu­rator to en­able SME to cust­o­mize the sys­tems and pro­ducts they offer to the cust­omers’ needs. The con­fi­gu­rator will con­sist of two main parts: an AI-based back­end and an appro­pri­ate user in­ter­faces that allow cust­omers to easily convey their needs to the supplier (the SMEs).

Simulating cyber-physical threats to the City of Vienna

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.  

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Europe’s largest Dronehall is open for business

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.

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Best Paper Award ICWI19

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.

Best Paper Awadr ICWI2019

Stellenausschreibung Webprogrammierer (m/w)

Suchst du während des IT-Studiums einen Job in einem abwechslungsreichen Aufgabengebiet und verfügst du über gute Kenntnisse in HTML, CSS, JavaScript, MySQL-Datenbank? Dann wartet Werkportal auf Deine Bewerbung!

Alle Infos findest Du hier: JOBINSERAT _ Webprogrammierer 2019.