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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 Deva, B. (2014). Geofencing 2.0: Taking Location-based Notifications to the Next Level. Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing. ACM, 919–930.


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, B. and Küpper, A. (2016). CATLES: A Crowdsensing-Supported Interactive World-Scale Environment Simulator for Context-Aware Systems. Proceedings of the International Conference on Mobile Software Engineering and Systems. Association for Computing Machinery, 77–87.


Rodriguez Garzon, S. and Arbuzin, D. and Küpper, A. (2017). Geofence Index: A Performance Estimator for the Reliability of Proactive Location-Based Services. 2017 18th IEEE International Conference on Mobile Data Management (MDM), 1-10.


Rodriguez Garzon, S. and Deva, B. (2019). Sensafety: Crowdsourcing the Urban Sense of Safety. Advances in Cartography and GIScience of the ICA. Copernicus Publications, 12.


Rodriguez Garzon, S. and Pöllabauer, T. and Zickau, S. and Küpper, A. (2019). Interactive Design of Geofences for Proactive Location-based Services in Smart Cities. Proceedings of the 16th IEEE International Conference on Ubiquitous Intelligence and Computing (UIC 2019). IEEE.


Rodriguez Garzon, S. and Walther, S. and Pang, S. and Deva, B. and Küpper, A. (2018). Urban Air Pollution Alert Service for Smart Cities. Proceedings of the 8th International Conference on the Internet of Things. Association for Computing Machinery.


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.


Salem, M. and Ruppel, P. and Bareth, U. and Küpper, A. (2012). X-centric Positioning: A Combination of Device-centric and Multi-RAT Network-centric Positioning Approaches. Globecom Workshops (GC Wkshps 2012). IEEE, 1741-1746.


Salem, M. and Schonowski, J. and and Küpper, A. (2013). Citizen-centric Smart Cities: M-Technology for realizing Smart Participatory Urban Sensing in E-Government. International Journal of Information Technology & Computer Science (IJITCS). IISRC, 82-92.


Salem, M. and Deva, B. (2013). 3rd Party Geolocation Messaging: A Positioning Enabler Middleware for Realizing Context-aware Polling. Proceedings of the 6th International Conference on Mobile Wireless Middleware, Operating Systems, and Applications. IEEE, 100-109.


Schanzenbach, M. and Zickau, S. (2017). Identity and Access Management in a Doping Control Use Case. Datenschutz und Datensicherheit - DuD


Sharhan, S. and Zickau, S. (2015). Indoor Mapping for Location-based Policy Tooling using Bluetooth Low Energy Beacons. Proceedings of the 8th IEEE International Workshop on Selected Topics in Wireless and Mobile computing (STWiMob 2015). IEEE.


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.


Uzun, A. and Neidhardt, E. and Küpper, A. (2013). OpenMobileNetwork - A Platform for Providing Estimated Semantic Network Topology Data. International Journal of Business Data Communications and Networking (IJBDCN). IGI Global, 46-64.


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