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Dr.-Ing. Sandro Rodriguez Garzon
- © Sandro Rodriguez Garzon
Sandro Rodriguez Garzon received his diploma in Computer Engineering at the Technische Universität Berlin in 2005. From 2006 to 2007, he worked as a software engineer for the sd&m AG (Capgemini S.A.) and participated in several software projects for vehicle manufactures like Volkswagen and Audi. In 2007, he started his doctoral research on the context-aware personalization of automotive user interfaces at the Daimler Center for Automotive IT Innovations within the group of Compiler Construction and Programming Languages of Prof. Peter Pepper. Thereby, he worked on the formal specification of automotive user interfaces and their adaptation capabilities as well as on multiple prototypes for mobile platforms e.g. Android and iOS.
In October 2013, he joined the Telekom Innovation Laboratories as a research associate within the group of Service-centric Networking led by Prof. Axel Küpper.
Sandro's research is focused in the fields of Ubiquitous Computing, Distributed Computing and Data Science.
Teaching
Research Interests
- Mobile and Context-Aware Computing
- Adaptation and Personalization of User Interfaces
- User, Context and Situation Modeling
- Data Mining, Spatio-Temporal Reasoning, Pattern Matching
- Internet of Things, Smart Cities, Smart Factories
- Distributed Ledger Technologies, Blockchain
Publications
| Citation key | 9266789 |
|---|---|
| Author | Rodriguez Garzon, S. and Louis, B. |
| Pages | 1-22 |
| Year | 2020 |
| ISSN | 2169-3536 |
| DOI | 10.1109/ACCESS.2020.3040060 |
| Journal | IEEE Access |
| Abstract | A proactive context-aware system automatically adapts its user interface to the user’s situational needs. This is achieved by continuously capturing the environmental properties, reasoning upon the context, and detecting situations where unsolicited adjustments are helpful or notifications informative. If the characteristics of those situations are well known in advance, their occurrence can be detected at runtime by the rule-based processing of raw sensor data. However, rule-based context reasoning methods determine the user’s situation mostly based on present sensor signals instead of considering the situation to be likewise the product of the past context. This article introduces a graph-based situation modeling formalism for the specification of system-relevant environmental circumstances as context flow graphs. A directed cyclic graph represents thereby the distinct contextual characteristics a user’s situation is made of and the temporal order in which these appear and disappear during the evolution of the situation. Complex situations for rule-based proactive context-aware systems can then be expressed at a high level of abstraction and without the need to understand the underlying sensor-related signal processing mechanisms. The technical feasibility is demonstrated by a prototypical distributed proactive context-aware middleware that, in addition, comes up with a web-based user interface for the interactive graphical and logical modeling of situations as context flow graphs. |
| Bibtex Type of Publication | SNET Data Ubiquitous |
Thesis
- Rodriguez Garzon, S. (2013). Kontextsensitive Personalisierung automotiver Benutzerschnittstellen – Entwurf und Anwendung eines regelbasierten Verfahrens zur Erkennung situationsabhängiger Mensch-Maschine-Interaktionen. Doctoral Thesis, Technische Universität Berlin
- Rodriguez Garzon, S. (2005). Investigation of an energy efficient combination MAC/Routing Protocol for sensor nodes with switchable antennas. Diploma Thesis, Technische Universität Berlin
Supervised Theses
- Möller, M. (2020). Development of a Proactive Context-aware Prompt Mechanism for Location-based Crowdsourcing in Sensafety. Master Thesis, Technische Universität Berlin
- Reppenhagen, M. (2020). Traffic Simulation for an Air Pollution-aware Toll System with Dynamic Charging. Master Thesis, Technische Universität Berlin
- Petrich, T. (2020). Development of a Conversational Interface for an Urban Crowdsourcing Service. Bachelor Thesis, Technische Universität Berlin
- Rau, J. (2019).A Mobile Application to Enable Trusted Cross-organizational Deliveries of Sensor-equipped Parcels. Bachelor Thesis, Technische Universität Berlin
- Zoabi, M. (2019). Real-time Detection of Urban Situations using Social Sensors. Master Thesis, Technische Universität Berlin
- Weil, L. (2018). Extending a Context-aware Service with Geofencing Capabilities. Bachelor Thesis, Technische Universität Berlin
- Louis, B. (2017). A Scalable Context-aware Middleware for Multi-user Location-Based Services. Master Thesis, Technische Universität Berlin
- Walther. S. (2017). An Air Quality Monitoring and Alert Service for Mobile Devices. Master Thesis, Technische Universität Berlin
- Roo, M. J. (2017). Utilizing Call Detail Records for Travel Mode Discovery in Urban Areas. Master Thesis, Technische Universität Berlin
- Wiesel, R. (2016). Designing a User-friendly Interface for the Definition of Context-aware Privacy Policies. Bachelor Thesis, Technische Universität Berlin
- Elbehery, M. (2016). An Algorithm to Improve the Reliability of Proactive Location-Based Services. Master Thesis, Technische Universität Berlin
- Pilz, G. (2015). Design and Implementation of a Proactive Context-based Service. Master Thesis, Technische Universität Berlin
- Hanotte, B. (2015). The Analysis of Movement Traces for the Parametrization of Proactive Location-based Services. Master Thesis, Technische Universität Berlin
- Schünemann, S. (2013). Enabling Spatio-temporal Privacy Policies on Mobile Devices. Master Thesis, Technische Universität Berlin
- Calo, J. L. (2013). Towards A Messaging System for Context-aware Polls. Master Thesis, Technische Universität Berlin
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Dr.-Ing. Sandro Rodriguez Garzon
Service-centric Networking
TEL 19
Ernst-Reuter-Platz 7
10587 Berlin
Phone: +49 30 8353 58679
Fax: +49 30 8353 58409
e-mail query
Service-centric Networking
TEL 19
Ernst-Reuter-Platz 7
10587 Berlin
Phone: +49 30 8353 58679
Fax: +49 30 8353 58409
e-mail query
