DAWUD GORDON

address: Telecooperation Office (TecO),
Vincenz-Prießnitz-str. 1, Room 204
76131 Karlsruhe, Germany

Building 07.07, Room 204

email: gordon@teco.edu
phone: +49 (0) 721 608 4-1709
fax: +49 (0) 721 608 4-1702

I am currently working on the project Towards a Mobile, Hybrid Cloud which is funded by the EIT ICT Labs within the Activity Computing in the Cloud. My research interests include context and activity recognition in embedded systems with emphasis on distributed recognition systems and group activity recognition.

News

As of October 2013 I am no longer a TecO employee and am actively working on new application areas for activity recognition at my own startup.  For more recent information check out my personal WEBSITE.

Short CV

Awards and Nominations

  • Best Paper Award for the paper “Reconciling Cloud and Mobile Computing using Activity-Based Predictive Caching” at the Fifth International Conference on Mobile Computing, Applications and Services (MobiCASE 2013)
  • Honorable Mention Award and Best Paper Nominee for the paper Energy-Efficient Activity Recognition using Prediction, the Sixteenth International Symposium on Wearable Computers (ISWC 2012)
  • Best Demo Nominee Program Your Reality with dinam-mite, the Ninth International Conference on Pervasive Computing (Pervasive’11)
  • Best Paper Nominee ActiServ: Activity Recognition Service for Mobile Phones, the Fourteenth International Symposium on Wearable Computers (ISWC 2010)
  • Best Paper Nominee A Novel Micro-Vibration Sensor for Activity Recognition: Potential and Limitations, in Proceedings of the Fourteenth International Symposium on Wearable Computers (ISWC 2010)

Publications

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Activities

Teaching

  • Master’s Course: Context Sensitive Systems, KIT, 2013
  • Benjamin Fischer’s Master’s Thesis: ” Predictive Caching in mobile CRM Systems using Reliable context recognition “, KIT, Ongoing
  • Sven Frauen’s Master’s Thesis: “A Framework for Using Context to Predict Correlated Environmental Parameters”, KIT, March 2013
  • Master’s Course: Context Sensitive Systems, KIT, 2012
  • Jürgen Czerny, Master’s Thesis: “Using Prediction to Conserve Energy in Embedded Systems”, KIT, 2011
  • Jan-Hendrik Hanne, Master’s Thesis: “Embedded sensor data classification with analysis of energy consumption”, TU Braunschweig, 2011
  • Martin Alexander Neumann, Master’s Project: “A Programming and Runtime Environment for WSN Applications on the D-Bridge Platform”, TU Braunschweig, 2010
  • Florian Witt, Bachelor’s Thesis: “Development of a MicroSD Expansion Board for the Akiba Sensor Node”, TU Braunschweig, 2009

Projects

  • Currently: Towards a Mobile, Hybrid Cloud This project is a continuation of the 2012 project Towards a Mobile Cloud and has the goal to deliver concepts and tools for managing specific aspects of hybrid cloud environments, including the optimization of quality of service and resource usage, and the manageability of heterogeneous environments. My research in this project is towards improving the user experience of mobile user devices by deciding in a context-dependent manner at run-time which parts of the required functionality shall be executed on the device and which parts shall be executed in the cloud.
  • Currently: Practical Human Activity Recognition The goal of this project is to create practical approaches to human activity recognition (HAR). My research focus is on group activity recognition with a focus on algorithms and exploratory research
  • Towards a Mobile Cloud This project conducts research in order to support next-generation elastic mobile clouds, where mobile scenarios are consistently supported by cloud environments. My research in this project is towards improving the user experience of mobile user devices by deciding in a context-dependent manner at run-time which parts of the required functionality shall be executed on the device and which parts shall be executed in the cloud.
  • dinam-mite: Platform-as-a-Service for wireless sensor network applications The dinam concept is a novel approach to simplified rapid development of wireless sensor network applications as well as an according WSN platform. My research here was on embedded systems, embedded development environments (IDE) and programming methods and wireless sensor network usability.
  • CHOSeN: Cooperative Hybrid Objects Sensor Networks The goal of this project was to develop adaptable, scalable wireless sensing systems for automotive (FIAT) and aeronautic (EADS/Airbus) applications. My research within this project was on developing scalable wireless communication protocols and a middleware application for the novel wireless sensor network technology developed within the project (Infineon/TU Wien).
  • SenseCAST The aim of the project is to develop new methods for context prediction in wireless sensor networks and to utilise these for dynamic adaptation and optimisation of network behaviour. My research focus was on embedded recognition and prediction algorithms, with emphasis on low-power and low-complexity execution.
  • RELATE The goal of RELATE is to research spatial relationships between tangible objects that together form an interface both in P2P location hardware, software (recognition, protocols, applications) and user applications. As a student my work here was to integrate all partner contributions into a final project demonstrator of generic building blocks for a lightweight short range (room size) location system that does NOT require infrastructure, administration, configuration or management and can be integrated into everyday objects.