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Ubiquitous Computing

Lupe

The Ubiquitous Computing paradigm describes a world in which electronic devices are not only unobtrusively embedded within the human’s environment but also in which electronic devices are interacting with each other to support humans in their daily life. Hence, Ubiquitous Computing deals with a wide range of research topics related to Pervasive Computing, Wearable Computing, Ambient Intelligence, Intelligent Environments, Automotive Computing and Smart Homes. Thereby, the context- and location-awareness of Ubiquitous Computing systems are the key enablers for many application scenarios such as carsharing, navigation systems, location-based marketing, home automation or context-aware services in general. The Ubiquitous Computing field is highly dependent on the underlying wireless communication technologies such as 5G networks, WLAN, Bluetooth, NFC etc., and many research questions deal with the optimization of protocols and algorithms that are applied over these wireless communication networks. 

 

Our research related to Ubiquitous Computing focuses on developing context-aware middlewares for smart mobile devices like smartphones, wearables or tablets. Our work encompasses the design and development of proactive context or location-based service infrastructures for indoor and outdoor environments as well the investigation of new methods for the datafication of mobile data. By enhancing context-aware systems with latest spatiotemporal data analytics techniques, we envision intelligent environments which are able to autonomically learn typical behavior patterns and adapt mobile applications according to situational needs. These self-adaptive systems come along with several interesting research challenges like automatic data processing and analysis, energy-efficient context-awareness and profile-based adaptation of mobile devices, which are all addressed within our research group.

Publications

Rodriguez Garzon, S. and Arbuzin, D. and Küpper, A. (2017). Geofence Index: A Performance Estimator for the Reliability of Proactive Location-based Services. Proceedings of the 18th IEEE International Conference on Mobile Data Management (IEEE MDM 2017). IEEE.


Beierle, F. and Grunert, K. and Göndör, S. and Schlüter, V. (2017). Towards Psychometrics-based Friend Recommendations in Social Networking Services. 2017 IEEE 6th International Conference on AI & Mobile Services (AIMS 2017). IEEE, 105–108.


Zickau, S. (2016). privGardens - Semantic Privacy Areas in Location-based Data Protection Policies. 13. GI/KuVS-Fachgespräch "Ortsbezogene Anwendungen und Dienste". Logos Verlag Berlin GmbH.


Beierle, F. and Grunert, K. and Göndör, S. and Küpper, A. (2016). Privacy-aware Social Music Playlist Generation. Proceedings of the IEEE International Conference on Communications (ICC 2016). IEEE, 5650-5656.


Deva, B. and Rodriguez Garzon, S. and Küpper A. (2016). FlashPoll: A Context-aware Polling Ecosystem for Mobile Participation. Proceedings of the 19th International Conference Innovation in Clouds, Internet and Networks (ICIN 2016). IFIP, 169-176.


Zickau, S. and Thatmann, D. and Butyrtschik, A. and Denisow, I. and Küpper, A. (2016). Applied Attribute-based Encryption Schemes. Proceedings of the 19th IEEE International Conference Innovation in Clouds, Internet and Networks (ICIN 2016). IFIP Open Digital Library, 88-95.


Rodriguez Garzon, S. and Elbehery, M. and Deva, B. and Küpper, A. (2016). Reliable Geofencing: Assisted Configuration of Proactive Location-based Services. Proceedings of the 2016 IEEE International Conference on Mobile Services. IEEE, 204–207.


Rodriguez Garzon, S. and Deva, B. and Hanotte, Benoît and Küpper, A. (2016). CATLES: A Crowdsensing-supported Interactive World-scale Environment Simulator for Context-aware Systems. Proceedings of the 2016 IEEE/ACM International Conference on Mobile Software Engineering and Systems. ACM, 77–87.


Thatmann, D and Zickau, S. and Förster, A and Küpper, A. (2015). Applying Attribute-based Encryption on Publish Subscribe Messaging Patterns for the Internet of Things. Proceedings of the 8th IEEE International. Conference on Internet of Things (iThings 2015). IEEE.


Deva, B. and Rodriguez Garzon, S. and Schünemann, S. (2015). A Context-sensitive Privacy-aware Framework for Proactive Location-based Services. 9th International Conference on Next Generation Mobile Applications, Services and Technologies 2015 (NGMAST'15). IEEE, 138-143.


Clemens, K. (2015). Geocoding with OpenStreetMap Data. GEOProcessing 2015, The Seventh International Conference on Advanced Geographic Information Systems, Applications, and Services. IARIA.


Zickau, S. (2015). Semantic Location Information in Access Control Policy Models. Proceedings of the Location-based Applications and Services (LBAS 2015). IEEE.


Denisow, I. and Zickau, S. and Beierle, F. and Küpper, A. (2015). Dynamic Location Information in Attribute-based Encryption Schemes. Proceedings of the 9th International Conference on Next Generation Mobile Applications, Services and Technologies (NGMAST 2015). IEEE, 240-247.


Rodriguez Garzon, S. and Deva, B. and Pilz, G. and Medack, S. (2015). Infrastructure-assisted Geofencing: Proactive Location-based Services with Thin Mobile Clients and Smart Servers. Proceedings of the 2015 3rd IEEE International Conference on Mobile Cloud Computing, Services, and Engineering. IEEE Computer Society, 61-70.


El-Sobhy, J. and Zickau, S. and Küpper, A. (2015). Proximity-based Services in Mobile Cloud Scenarios using Extended Communication Models. Proceedings of the 4th IEEE International Conference on Cloud Networking (IEEE CloudNet). IEEE.


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