15

Projects

442

Publications

36

Awards

33

Dissertations


Collaborative Research Center

SFB-TRR 161

Quantitative Methods for Visual Computing

We are living in a data society in which data is generated at amazing speed; individuals, companies, organizations, and governments are on the brink of being drawn into a massive deluge of data. The great challenge is to extract the relevant information from vast amounts of data and communicate it effectively.

Typical scenarios include decision and policy making for urban and environmental planning or understanding relationships and dependencies in complex networks, e.g., social networks or networks from the field of bioinformatics. These scenarios are not only of interest to specialized experts; in fact, there is a trend toward including the broad public, which requires the information to be presented in a reliable, faithful, and easy-to-understand fashion.

Visual computing can play a key role in extracting and presenting the relevant information.

In visual computing research the aspect of quantification is often neglected. The SFB-TRR 161 seeks to close this gap.

The long-term goal is to strengthen the research field by establishing the paradigm of quantitative science in visual computing.

News

June 2024

June 24, 2024
QoMEX 2024 Best Reviewer Award

Dietmar Saupe and Mohsen Jenadeleh honored for their dedication during the reviewing process
» more »

June 11, 2024
ETRA Best Short Paper Honorable Mention

Paper from Project B01 wins award at ACM Symposium on Eye Tracking Research & Applications
» more »

May

May 24, 2024
SFB-TRR 161 Project Leaders Successful in the 10th Edition of the Research.com Best Scientists Ranking

Professors from Konstanz, Munich, and Stuttgart among the top 10 % in the field of computer science
» more »


SFB-TRR 161 Events

Jul 12th, 2024, 10.30 am

University of Stuttgart and online --- THE TALK HAD TO BE CANCELLED !!! ---

Talk | Human Centred Information Visualisation for the Energy Sector

Held by:

Dr. Sarah Goodwin, Monash University, Australia

Abstract:

This presentation showcases a number of energy data visualisation projects, ranging from immersive tabletop devices for casual data collaboration and knowledge sharing through to measuring cognitive load of energy control room operators. The presentation will highlight the benefits of human-centred approaches and demonstrate further capabilities for improved geospatial data analysis and innovation for geospatial network visualisation. It will also draw on other work, such as the design and development of Gazealytics, the visual eye tracking analysis software, which helped to identify patterns in typical energy control room operator gaze behaviour.

Bio:

Sarah Goodwin is a Senior Lecturer at Monash University, Australia and a member of the Embodied Visualisation Group. She is co-Director of Monash Energy Institute’s Grid Innovation Hub and Director of Engagement for the Department of Human-Centred Computing.  Her research focuses on multi-dimensional geospatial data and co-designing with experts.  In her work she seeks to improve human-centred methodologies for domain knowledge extraction for visualisation design, interaction and task analysis.  She has worked over 20 years in the field of geospatial analysis and information visualisation in professional and academic roles with many of the leading research centres for spatial analysis and visualisation, including the giCentre, City University of London, UK; the g2Lab, HafenCity University, Germany, Geospatial Science, RMIT University, Australia. She was co-General Chair for IEEE VIS 2023 and co-chairs two international workshop series: Urban Data Visualisation (CityVis) and Energy Data Visualisation (EnergyVis).


Location:

Visualization Research Center (VISUS), University of Stuttgart, Room 00.012

The talk will be available online via Webex.

Meeting number (access code): 2731 094 5646

Meeting password: aPPEyiCK822

 


Jul 18th, 2024, 3 pm

University of Stuttgart and online

Talk | New Perspectives on Hypergraph Analysis and Visualization

Held by:

Bei Wang Phillips, University of Utah

Abstract:

Hypergraphs capture multi-way relationships in data, and they have consequently seen a number of applications in higher-order network analysis, computer vision, geometry processing, and machine learning. We discuss a number of new perspectives on hypergraph analysis and visualization, at the intersection of topological data analysis, optimal transport, and data visualization. First, we discuss recent efforts in hypergraph simplification, using topological and optimization techniques. Second, we develop theoretical foundations for studying the space of hypergraphs using ingredients from optimal transport. Finally, we demonstrate the versatility of our framework through various examples.


Bio:

Dr. Bei Wang Phillips is an Associate Professor in the School of Computing and a faculty member in the Scientific Computing and Imaging (SCI) Institute, University of Utah. She obtained her Ph.D. in Computer Science from Duke University. Her research focuses on topological data analysis, data visualization, and computational topology. She works on combining topological, geometric, statistical, data mining, and machine learning techniques with visualization to study large and complex data for information exploration and scientific discovery. Some of her current research activities involve the analysis and visualization of high-dimensional point clouds, scalar fields, vector fields, tensor fields, networks, and multivariate ensembles. Dr. Phillips is a DOE Early Career Research Program (ECRP) awardee in 2020 and an NSF CAREER awardee in 2022. Her research has been supported by multiple awards from NSF, NIH, and DOE.


Location:

Visualization Research Center (VISUS), University of Stuttgart, Room 00.012

The talk will be available online via Webex.

Meeting-ID (Zugriffscode): 2783 380 7973
Meeting Password: tMAM5SumC9m

In case of questions or problems regarding the online transmission please contact David Hägele (+49 711 685 88625)


22.-24. Juli 2024

Universität Konstanz

PROGRAMMIERKURS für Schülerinnen ab Klasse 7 | Computergrafik mit Processing

Mit wem?

Thomas Ningelgen war vor seiner Pensionierung Informatiklehrer am Heinrich-Suso-Gymnasium in Konstanz und ist Mitautor des Buches "Programmieren lernen mit Comutergrafik".

Wann?

3 x 4 Stunden mit Pausen am
22. Juli 2024 von 14 bis 18 Uhr,
23. Juli 2024 von 14 bis 18 Uhr und
24. Juli 2024 von 8 bis 12 Uhr

Wo?

Universität Konstanz, Gebäude C, Raum 252


Was ?

In diesem Kurs lernt ihr “Processing” kennen – einen einfach zu bedienenden Editor, mit dem ihr schnell wunderschöne Grafiken, Computeranimationen und interaktive kleine Spiele programmieren könnt. Processing wurde am MIT entwickelt und wird von vielen Künstlern und Mediengestaltern verwendet. Es basiert auf der Programmiersprache Java, die auch die Grundlage unseres Kurses ist. Anstelle aber irgendwelche langweiligen Beispiele zu programmieren, werdet ihr die Programmierung anhand von Computergrafik lernen, was wesentlich mehr Spaß macht. Dennoch gibt es auch genug zu knobeln.

Der Kurs ist eine Einführung in die Programmierung.
Vorkenntnisse sind nicht erforderlich.

Anmeldung:

Schreibt uns einfach eine Email an: sfbtrr161@uni-konstanz.de

 

Download Flyer


Nov 5th, 2024, 9 am - 12 pm

Online

WS | Inclusive Leadership Training (for PLs, postdoctoral and doctoral researchers)

Held by:

Dr. Susanne Hamscha, factor-D Diversity Consulting GmbH

Abstract:

Leading a diverse research team successfully can be a challenge at first. Inclusive leaders express appreciation and trust to grow, in order to strengthen collaboration and to use the diversity (of perspectives) in their teams effectively– because an inclusive work environment promotes creativity, innovation and productivity.
Based on an anti-bias approach, the offered Inclusive Leadership Training guides participants to fulfil their role as leaders more consciously. The workshop focuses around the following topics:
•    Diversity, Equity & Inclusion (DEI): Definition and dimensions as well as barriers to implementation
•    Unconscious biases: examples (aha effects)
•    Unconscious bias as a barrier to an inclusive culture, with special consideration of the university context
•    Characteristics of an inclusive culture and principles of an inclusive leadership style
•    Strategies, tools and options for inclusive leaders
•    Personal implementation plan: What will I take away? What will I implement or change?

The workshop is designed to be interactive and includes a mix of theoretical input, discussion, individual and group exercises.

Bio:
Dr Susanne Hamscha holds a PhD in Cultural Studies and is a certified Diversity Trainer.  She is an expert for the implementation of diversity strategies in higher education, science and research. Moreover, she has extensive experience in research, publishing and teaching at several universities in Germany, Austria and the USA. 

Registration:

Please register via email to elisabeth.hutter@uni-konstanz.de

Location:
The talk will be available online. The link will be provided to the participants.


Further Information & Resources

YouTube

The SFB-TRR 161 produces videos to give insights into the projects and the ongoing research. Please visit our YouTube Channel.



Go to YouTube

Graduate School

Graduate School

PhD students of the projects at the Universities of Stuttgart and Konstanz learn and do research together on their way to their doctoral degree in visual computing.



Graduate School

Visual Computing Blog

Visual Computing Blog

The scientists of the SFB-TRR 161 as well as guest authors blog about their activities in computer graphics, visualization, computer vision, augmented reality, human-computer interaction, and psychology.


Visual Computing BLOG

Partners of the SFB-TRR 161