Public events

News: Faculty & Institutes

March 30, 2026

New Publication

Seufferheld, K. D., Batista, P. V. G., Shokati, H., Scholten, T., & Fiener, P. (2026).

A GLUE-based assessment of WaTEM/SEDEM for simulating soil erosion, transport, and deposition in soil conservation optimised agricultural watersheds.

SOIL, 12, 301–319.

 

DOI: https://doi.org/10.5194/soil-12-301-2026

[Water and Soil Resource Research]
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March 30, 2026

ARCS 2026

We are pleased to announce that Thomas Böhme attended the 39th GI/ITG International Conference on Architecture of Computer Systems (ARCS), which took place in Mainz from March 24 to 26, 2026. [Chair of Networked Systems and Communication Networks]
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Bild zeigt Thomas Böhme hinter einem Rednerpult auf der linken Seite. Zudem ist eine Folie aus der Präsentation hinter der Person zu sehen.
March 26, 2026

Research Associate (m/f/d) at postdoctoral level, Faculty of Applied Computer Science

Augsburg Bioinformatics Core Facility - Chair of Modeling and Simulation of Biological Processes (Prof. Dr. Andreas Raue)

 

Application deadline: 30th April 2026

[Stellenangebote]
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March 26, 2026

Announcing the Winner of the MaLeNe 2026 Best Presentation Award

We are pleased to announce that Mr. Jonas Wessner from the University of Ulm has been awarded the Best Presentation Award, presented by Siemens. The award was given at the 7th KuVS Fachgespräch/Workshop on Machine Learning in Networking (MaLeNe 2026), held at the University of Augsburg.

[Chair of Networked Systems and Communication Networks]
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Best presentation award ceremony (from left to right: Dr. Andreas Blenk, Jones Wessner, Prof. Dr. Michael Seufert)
March 24, 2026

7th KuVS Fachgespräch on Machine Learning in Networking (MaLeNe 2026)

On March 19–20, 2026, the Machine Learning in Networking (MaLeNe 2026) KuVS Fachgespräch was successfully hosted at the University of Augsburg. The two-day on-site event brought together around 25 researchers from academia and industry to exchange ideas and discuss emerging challenges in the intersection related to machine learning in networking. [Chair of Networked Systems and Communication Networks]
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Group picutre MaLeNe 2026
March 23, 2026

Geospatial Open Data for Clean Air: A Reproducible Machine-Learning Framework for National Pollution Assessments

A new study by scientists and master's students at the University of Augsburg fills gaps in air monitoring. Using machine learning and open geospatial data, they found that although NO₂ levels are falling, 97% of monitoring stations still exceed WHO guidelines. This open-source project makes important environmental data accessible to everyone, supporting global efforts for clean air. [Institute of Geography]
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Clouds

Map & How to Reach Us

Postal adress:

 

Fakultät für Angewandte Informatik

Universität Augsburg

D - 86135 Augsburg

 

 

For visitors:

 

You will find the bueraus at building N.

 

Faculty of Applied Computer Science,

Universitaetsstr. 6a

86159 Augsburg


Institute of Computer Science (Bldg. N),
Universitaetsstr. 6a

86159 Augsburg

 

Institute of Geography (Bldg. B),
Alter Postweg 118

86159 Augsburg

 


Phone +49 (0) 821 / 598-2250, -2251

 

E-Mail: dekanat@informatik.uni-augsburg.de

 

 


Map & How to Reach Us

 

© University of Augsburg

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