Tissue Healing in Space
Tissue Healing in Space
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Partner - Data Sciences - Germany

Anna Förster

  Contact :   Institute for Sustainable Communication Networks, Faculty of Engineering, University of Bremen, Germany  phone: +39 0816132374  email:   anna.foerster@uni-bremen.de   Website: https://www.comnets.uni-bremen.de/people/

Contact :

Institute for Sustainable Communication Networks, Faculty of Engineering, University of Bremen, Germany

phone: +39 0816132374

email:  anna.foerster@uni-bremen.de

Website:https://www.comnets.uni-bremen.de/people/

About

Biography:

Anna Förster obtained her MSc degree in computer science and aerospace engineering from the Free University of Berlin, Germany, in 2004 and her PhD degree in self-organising sensor networks from the University of Lugano, Switzerland, in 2009. She also worked as a junior business consultant for McKinsey&Company, Berlin, between 2004 and 2005. From 2010 to 2014, she was a researcher and lecturer at SUPSI (the University of Applied Sciences of Southern Switzerland). Since 2015, she leads the Sustainable Communication Networks group at the University of Bremen.

Interests:

Her main research interests lie in self-organising and autonomous sensor and opportunistic networks. She applies various artificial intelligence techniques, like machine learning and swarm intelligence, to various aspects of wireless communication protocols and applications. Her research group is especially focused to how to achieve better sustainability of communication networks on one side and how to boost everyday sustainability by innovative applications.

Expertise:

Communication architectures and platforms, sensor networks, opportunistic networks, wireless communication protocols, simulation environments and models for wireless networks. We have developed a range of hardware boards for various sensing applications, e.g. MoleNet for wireless underground sensing, TWIN for wireless mobile sensing, etc.

Available equipment and techniques:

The Smart Networks Lab is associated with the institute and offers possibility for students and researchers to build hardware prototypes with various platforms (e.g. RaspberryPi or Arduino), to prepare maock-ups with 3D printing and to evaluate and benchmark wireless communications.

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