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

2014

Dawud Gordon, Martin Wirz, Daniel Roggen, Gerhard Tröster, Michael Beigl (2014) Group Affiliation Detection Using Model Divergence for Wearable Devices, International Symposium on Wearable Computers (ISWC) 2014, pdf

Dawud Gordon, Markus Scholz, Michael Beigl (2014) Group Activity Recognition Using Belief Propagation for Wearable Devices, International Symposium on Wearable Computers (ISWC) 2014, ACM, pdf

Dawud Gordon (2014) Group Activity Recognition Using Wearable Sensing Devices, p. 1-242, CreateSpace, pdf

2013

Dawud Gordon, Sven Frauen, Michael Beigl (2013) Reconciling Cloud and Mobile Computing using Predictive Caching, International Conference on Mobile Computing, Applications and Services (MobiCASE), Paris, France: Springer Verlag, Best Paper Award

Markus Scholz, Dawud Gordon, Leonardo Ramirez, Stephan Sigg, Tobias Dyrks, Michael Beigl (2013) A Concept for Support of Firefighter Frontline Communication, Future Internet 5(2), p. 113-127, url, doi:10.3390/fi5020113

Dawud Gordon, Jan-Hendrik Hanne, Martin Berchtold, Ali Asghar Nazari Shirehjini, Michael Beigl (2013) Towards Collaborative Group Activity Recognition Using Mobile Devices, Mobile Networks and Applications 18(3), p. 326-340, url, doi:10.1007/s11036-012-0415-x

Dawud Gordon, Jürgen Czerny, Michael Beigl (2013) Activity recognition for creatures of habit, Personal and Ubiquitous Computing, url, doi:10.1007/s00779-013-0638-2

2012

Philipp M. Scholl, Kristof Van Laerhoven, Dawud Gordon, Markus Scholz, Matthias Berning (2012) jNode: A sensor network platform that supports distributed inertial kinematic monitoring, 2012 Ninth International Conference on Networked Sensing (INSS), p. 1-4, IEEE, pdf, doi:10.1109/INSS.2012.6240553

Dawud Gordon (2012) Group Activity Recognition using Mobile Devices, Doctoral Consortium at the Tenth International Conference on Pervasive Computing (Pervasive 2012), Newcastle, UK: Adjunct Proceedings, pdf

Dawud Gordon, Matthias Berning, Rayan El Masri, Michael Beigl, Johannes Blanckenstein, Jirka Klaue (2012) WoR-MAC: Combining Wake-on-Radio with Quality-of-Service for intelligent environments, 2012 Ninth International Conference on Networked Sensing (INSS), p. 1-8, IEEE, url, doi:10.1109/INSS.2012.6240534

Stephan Sigg, Dawud Gordon, Georg Von Zengen, Michael Beigl, Sandra Haseloff, Klaus David (2012) Investigation of Context Prediction Accuracy for Different Context Abstraction Levels, IEEE Transactions on Mobile Computing 11(6), p. 1047-1059, pdf

Dawud Gordon, Jurgen Czerny, Takashi Miyaki, Michael Beigl (2012) Energy-Efficient Activity Recognition Using Prediction, 16th International Symposium on Wearable Computers, p. 29-36, IEEE, Best Paper Nominee, Honorable Mention Award, pdf, doi:10.1109/ISWC.2012.25

Yong Ding, Martin Alexander Neumann, Dawud Gordon, Till Riedel, Takashi Miyaki, Michael Beigl, Wenzhu Zhang, Lin Zhang (2012) A Platform-as-a-Service for in-situ development of wireless sensor network applications, 2012 Ninth International Conference on Networked Sensing (INSS), p. 1-8, Antwerp, Belgium: IEEE, url, doi:10.1109/INSS.2012.6240527

2011

Yong Ding, Matthias Budde, Dawud Gordon, Dimana Shishkova, Nadezda Sackmann, Hedda R Schmidtke, Michael Beigl (2011) Ubiquitous Know-How Transfer Based on a Mobile Learning and Classification System, Seventh International and Interdisciplinary Conference on Modeling and Using Context (CONTEXT'11) Adjunct Proceedings, p. 3-4, pdf

Dawud Gordon, Martin Alexander Neumann, Michael Beigl (2011) Program Your Reality with dinam-mite, Demonstration at the Ninth International Conference on Pervasive Computing Pervasive11, Best Demo Nominee, pdf

Dawud Gordon, Jan-Hendrik Hanne, Martin Berchtold, Takashi Miyaki, Michael Beigl (2011) Recognizing Group Activities using Wearable Sensors, 8th International ICST Conference on Mobile and Ubiquitous Systems (MobiQuitous 2011), p. 350 - 361, Copenhagen, Denmark: Springer Berlin Heidelberg, url

Dawud Gordon, Stephan Sigg, Yong Ding, Michael Beigl (2011) Using prediction to conserve energy in recognition on mobile devices, 2011 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops), p. 364-367, IEEE, url, doi:http://dx.doi.org/10.1109/PERCOMW.2011.5766907

Dawud Gordon, Markus Scholz, Yong Ding, Michael Beigl (2011) Global Peer-to-Peer Classification in Mobile Ad-Hoc Networks: A Requirements Analysis, The 7th International and Interdisciplinary Conference on Modeling and Using Context 6967, Michael Beigl, Henning Christiansen, Thomas R. Roth-Berghofer, Anders Kofod-Petersen, Kenny R. Coventry, Hedda R. Schmidtke (ed.), p. 108-114, Karlsruhe, Germany: Springer Berlin Heidelberg, url, doi:10.1007/978-3-642-24279-3

Dawud Gordon, Jan-Hendrik Hanne, Martin Berchtold, Takashi Miyaki, Michael Beigl (2011) An Experiment in Hierarchical Recognition of Group Activities Using Wearable Sensors, The 7th International and Interdisciplinary Conference on Modeling and Using Context 6967, Michael Beigl, Henning Christiansen, Thomas R. Roth-Berghofer, Anders Kofod-Petersen, Kenny R. Coventry, Hedda R. Schmidtke (ed.), p. 104-107, Karlsruhe, Germany: Springer Berlin Heidelberg, url, doi:10.1007/978-3-642-24279-3

Wenzhu Zhang, Lin Zhang, Yong Ding, Takashi Miyaki, Dawud Gordon, Michael Beigl (2011) Mobile Sensing in Metropolitan Area: Case Study in Beijing, Mobile Sensing: Challenges, Opportunities and Future Directions (Ubicomp2011 workshop), pdf

Behnam Banitalebi, Dawud Gordon, Stephan Sigg, Takashi Miyaki, Michael Beigl (2011) Collaborative Channel Equalization: Analysis and Performance Evaluation of Distributed Aggregation Algorithms in WSNs, 2011 IEEE Eighth International Conference on Mobile Ad-Hoc and Sensor Systems, p. 450-459, Valencia: IEEE, url, doi:10.1109/MASS.2011.51

2010

Dawud Gordon, H Schmidtke, Michael Beigl (2010) Introducing new sensors for activity recognition, How To Do Good Research In Activity Recognition: Experimental methodology, performance evaluation and reproducibility. Workshop in conjunction with Pervasive 2010, pdf

Dawud Gordon, Florian Witt, Hedda Schmidtke, Michael Beigl (2010) A long-term sensory logging device for subject monitoring, Pervasive Computing Technologies for Healthcare (PervasiveHealth), 2010 4th International Conference on, p. 1-4, IEEE, url, doi:10.4108/ICST.PERVASIVEHEALTH2010.8826

Dawud Gordon, Hedda Rahel Schmidtke, Michael Beigl, Georg von Zengen (2010) A novel micro-vibration sensor for activity recognition: Potential and limitations, International Symposium on Wearable Computers (ISWC) 2010, p. 1-8, IEEE, Best Paper Nominee, url, doi:10.1109/ISWC.2010.5665861

Dawud Gordon, Michael Beigl, Martin Alexander Neumann (2010) Dinam: A wireless sensor network concept and platform for rapid development, 2010 Seventh International Conference on Networked Sensing Systems (INSS), p. 57-60, IEEE, url, doi:10.1109/INSS.2010.5573290

Martin Berchtold, Matthias Budde, Dawud Gordon, Hedda R. Schmidtke, Michael Beigl (2010) ActiServ: Activity Recognition Service for mobile phones, International Symposium on Wearable Computers (ISWC) 2010 i, p. 1-8, IEEE, Best Paper Nominee, url, doi:10.1109/ISWC.2010.5665868

Dawud Gordon, Matthias Berning, Hedda Schmidtke, Michael Beigl (2010) Rapid Prototyping for Urban Sensing, UBI Challenge Workshop in conjunction with Ubicomp 2010, p. 5-8, pdf

2009

Dawud Gordon, Michael Beigl, Masayuki Iwai (2009) A Study on the Use of Wireless Sensor Networks in a Retail Store, Workshop in Conjunction with the 7th International Conference on Pervasive Computing 2009, pdf

Dawud Gordon, Michael Beigl (2009) D-Bridge: A platform for developing low-cost WSN product solutions, 2009 Sixth International Conference on Networked Sensing Systems INSS, p. 62-65, IEEE, url, doi:10.1109/INSS.2009.5409950

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.