Ongoing Projects
A prism that separates pink and purple into red and blue.

Blind Source Separation in Time and Space

There is nowadays an abundance of measurements which are taken at specific locations and / or repeatedly over time. For the resulting multivariate spatial, temporal and spatio-temporal data it can often be assumed that there is a lot of noise in the data and only a few latent signal components carry all the relevant information.

DeVisOR - Detection and Visualization of unexploded Ordnance Risks

Analysis of historic air photos (images) with the goal of detecting unexploded bombs is a niche task, yet extremely important for preventing great damage or even loss of life. The computer science techniques and software tools currently available are of general nature, like Geographic Information Systems (GIS) and graphics editing programs.

GuidedVA: Guidance-Enriched Visual Analytics for Temporal Data

Although Visual Analytics provides advanced techniques to tackle complex analysis scenarios, it still challenging for analysts to discern which VA methods to use for particular data and tasks. Guidance is hence needed to come up with reliable data analysis, visualization, and interpretations, but this is a largely uncharted territory in VA research. The aim of this project is to break new ground in the field of Visual Analytics by incorporating guidance to support users in their exploration and decision-making processes as well as in making continuous progress. 

IMMV: Interactive Music Mapping Vienna: Exploring a City, 1945 up to the present day

The questions of how music acts in the urban context as a social identification instrument and how music is functionalized to urban symbolic politics form the starting point of the research project conducted by the MUK (Music and Arts University of The City of Vienna). The music component of mental determination of urbanity is created using the example of City of Vienna: How the "sensual" medium of music, generator of atmosphere and mood, produces not only ideological subjects, but also the notion of specific urban spheres?

KnoVA – Knowledge–Assisted Visual Analytics

Nowadays increasing amounts of data about complex phenomena are collected, stored, and made available for analysis.  Visual Analytics (VA), “the science of analytical reasoning facilitated by interactive visual interfaces”, is a multidisciplinary approach to make sense of this data, combining the enormous processing power of computers with the outstanding perceptual and cognitive capabilities of humans. Users of VA systems need to rely on prior knowledge to gain insights from data, formulate and test hypotheses, interpret results, and discover new knowledge.

polycube - Towards Integrated Mental Models of Cultural Heritage Data

Web-based databases of museums’ and cultural institutions’ collections enable fast access to important cultural assets for everyone: Millions of paintings, sculptures, music, and artworks can be reached with only a few clicks. Current research shows that interested visitors like to explore digital collections - often without a concrete goal. They like their observations to add up and make sense and to learn something new.

Smart Communities and Technologies (SmartCT)

Cities are ever-evolving, complex cyber physical systems of systems covering a magnitude of different areas. The initial concept of a smart city started with cities utilizing communication technologies to deliver services to their citizens and evolved to using information technology to be smarter and more efficient about the utilization of their resources. In recent years however, information technology has changed significantly, and with it the resources and areas addressable by a smart city have broadened considerably. They now cover areas like smart buildings, smart traffic systems and roads, autonomous driving, energy hubs, electric car utilization, water/waste and pollution management, as well as concepts like urban farming. Therefore, we must enable an open adaptive interconnected approach that is able to incorporate new areas on demand overcoming potentially limiting compartmentalization. Smart cities exchanging their capabilities in an organic elastic manner, being able to address whatever challenge and opportunity they face with the expertise, data, and knowledge of a global network of expert stakeholders form the basis of our vision for an Internet of Cities.  Our central focus is to create the scientific underpinnings for a future Internet of Cities infrastructure. We will create a comprehensive set of methodologies, models, and tools for design, development, management, and evolution of next-generation smart city applications.

VISSECT - Visual Segmentation and Labeling of Multivariate Time Series

The overarching objective of this research project is the combination of the three most relevant steps in the process of segmenting and labeling multivariate time series: algorithm selection, parametrization, and uncertainty analysis. Each of these steps is a research problem on its own, and we will contribute novel solutions to all of them. However, only the combination of the different aspects will comprehensively address the important challenge of visual analytics as identified by Jarke van Wijk: "Which model? Which parametrization?

Finished Projects


User and task analysis

To illustrate the problem, all tasks and the currently used software were investigated. We found many usability problems in the existing software system (SAP CRM). The process of an incoming call is illustrated here:

AsbruFlow - Interactive Information Visualization to Support Protocol-based Care

Based on the Software Prototype CareVis, this project is an approach to communicate the complex logic of Asbruplans to domain experts like physicians or nursing staff. 


CareVis - Interactive Visualization Methods to Support Protocol-Based Care

We provide multiple simultaneous views to cover different aspects of a complex underlying data structure of treatment plans and patient data. The tightly coupled views use visualization methods well-known to domain experts and are designed to facilitate users' tasks. CareVis enables a meaningful navigation, provides annotations on demand for not overwhelming the viewer, and helps to keep orientation by using focus+context techniques, thus increasing the flexibility in working with treatment plans and patient data.

CPGPro – Extracting Process Information from Clinical Practice Guidelines

Like in many other domains, computerization is seen as a means to facilitate the effective use of Clinical Practice Gudelines (CPGs). Therefore, transforming CPGs in a machine-readable and executable format has been the gist of research. Consequently, many guideline representation languages are developed and modelling tools are designed which convert CPGs in their corresponding models defined in these guideline representation languages. Available modelling tools are restricted in the way that they only allow a manual computerization process.

CVAST - Centre for Visual Analytics Science and Technology

CVAST aims to design and  develop innovative methods for data interpretation to capture the daily flood of information in interactive visualizations and analyses. Scenarios that involve temporal properties of such data are in the focus of our scientific interest.

DAD - Digital Aided Guide for Fathers-to-be

The aim of this project is the implementation of the “Digital Aided Guide for Fathers-to-be” in several participating partner countries. This guide has been well established in Austria since 2004 and has evolved from a project at the Danube University Krems (Austria). In order to achieve a successful market launch, the project’s partners from Poland, the Czech Republic, Romania and the Netherlands will adopt the Austrian service according to their national cultural, social and legal circumstances.

DeTable – A Wrapper for Complex HTML Tables

The main purpose of this student project is a wrapper that transforms complex HTML tables into an XML format. The complexity of the HTML tables is defined by the occurrence of spanned cells.

DisCō - Visual DIScovery and COmmunication of complex time patterns in non regularly gathered multigranular and multivariate data

DisCo The capabilities to generate and collect data and information have seen an explosive growth and overwhelm traditional methods of data analysis such as spreadsheets, ad-hoc queries, or simple visualizations. Exploring trends, patterns, and relationships are particularly important when dealing with large amounts of data. The human perceptual system is highly sophisticated and specifically suited to spot visual patterns.

Doctoral College: Environmental Informatics

Environmental InformaticsIn recent years, Environmental Informatics has emerged as a new interdisciplinary research field that can facilitate decisions regarding social, economic, ecological, and environmental goals based on a variety of information technology measures.

Dynamic XML Query Table Editor (DQT)

DQT supports the creation of such databases as well as their presentation and includes the following features:

EvalBench: A Software Library for Visualization Evaluation

To pave the way for future experimenters in the HCI field, the Java software library EvalBench was developed that focused on flexibility and reusability and should be easy to integrate into existing Java visualization applications.

EviGuiDe –  Embedding the Evidence Information in Computer-Supported Guidelines into the Decision-Making Process

In this project we propose a methodology that supports guideline users during the decision-making process on the basis of a semi-formal representation of the evidence information that can be found in Clinical Practice Guidelines (CPGs). A semi-formal representation is required to handle evidence information in computer-interpretable guideline representation languages. For this purpose, we have developed a meta schema that covers various kinds of grading systems including graded and ungraded evidence informaton.

EviX – Facilitating Evidence-based Decision Support Using Information Extraction and Clinical Guidelines

The goal of the proposed project is the experimental application and further development of promising approaches in the area of semi-automatic creation of computer-interpretable clinical guidelines and the execution of evidence-based recommendations. We expect contributions to ease the creation of computer-interpretable guidelines and support of the medical staff in their daily routine and decision-making.

EXPAND: EXploratory Visualization of PAtent Network Dynamics

The distributed nature of modern research and development has lead to a highly differentiated knowledge and technology landscape, which forms the complex and continuously evolving environment for individual and organizational actors in the economy, science, and technology realm. Public patent databases, which are regulating these developments by ongoing accumulation of semi-structured patent documents, are a rich source of information that has not been sufficiently leveraged for synoptic science and business analytical tasks yet.

FinanceVis - Design and Evaluation of Visualization Methods to Compare Multivariate Time Series

The comparison of several stocks against each other is an important task in financial analysis. The data is usually compared by juxtaposition or by superimposition. But even a large enough difference between the price ranges can make a simple comparison of the data difficult.

Stock market data is not limited to stocks. It also includes stock (market) indices such as the Dow Jones and NASDAQ. Stock indices have their own proprietary unit, which is different to the unit of a stock. Time series which have different units are also called heterogeneous data.

FishEye JTree

The Java Swing element "JTree" allows representation and navigation in tree structures. But as soon as the amount of hierarchical data structures increases (e.g. the file system) one can easily lose overview and orientation while navigating through different nodes on deep hierarchic levels.