Since May 2010 I work on the DFG funded SenseCast Projekt. The aim of the project is to develop new methods for context prediction in wireless sensor networks (WSN) and to utilise these for dynamic adaptation and optimisation of network behaviour.
My research focuses on context recognition and prediction in distributed systems and their resultant feedback control. Especially I'm working on the combination of machine learning techniques and automatic control concepts. On the application side, my major focus will be put on the theme Smart Grid and Smart City.
I am honored to take part in the Software Campus project from 2012, which is a research funding from the BMBF (Federal Ministry of Education and Research). The Software Campus is pursuing a dual strategy for the development of the IT managers of tomorrow: in parallel to the coaching by the industry partners it offers a project-oriented training of master's and doctoral students in the context of publicly funded research projects. The pilot phase of the Software Campus has been started in December 2011 with the Kick-off workshop and the sixth German national IT Summit in Munich.
10.2003-03.2008 Student of Electrical Engineering at the University of Karlsruhe
~ 04.2007-09.2007 Diploma (aka Master) thesis at the University of Karlsruhe, IIIT05.2008-07.2009 15 months Trainee Program in the energy company RWE
08.2009-05.2010 Electrical engineer in the division conveyor equipment and process data processing in the RWE Power AG
05.2010- Research Assistant/PhD Student at TecO
Yong Ding, Behnam Banitalebi, Takashi Miyaki and Michael Beigl, RFTraffic: a study of passive traffic awareness using emitted RF noise from the vehicles, in EURASIP Journal on Wireless Communications and Networking 2012, 2012:8, doi:10.1186/1687-1499-2012-8. (to appear)
Yong Ding, Christian Decker, Iana Vassileva, Fredrik Wallin, and Michael Beigl, A Smart Energy System: Distributed Resource Management, Control and Optimization, in Proceedings of the 2nd international conference on ISGT EUROPE, Manchester, UK, IEEE, December 2011. (to appear)
Iana Vassileva, Fredrik Wallin, Yong Ding, Hedda Schmidtke, and Erik Dahlquist, Indicators for Developing Innovative Feedback Technologies, in Proceedings of the 2nd international conference on ISGT EUROPE, Manchester, UK, IEEE, December 2011. (to appear)
Yong Ding, Matthias Budde, Dawud Gordon, Dimana Shishkova, Nadezda Sackmann, Hedda R. Schmidtke, and Michael Beigl, Ubiquitous Know-How Transfer Based on a Mobile Learning and Classification System, in Proceedings of the 7th international conference adjunct papers on Context'11, Karlsruhe, Germany, Springer, September 2011. (Video)
Dawud Gordon, Markus Scholz, Yong Ding and Michael Beigl, Global Peer-to-Peer Classification in Mobile Ad-Hoc Networks: A Requirements Analysis, In Proceedings of the Seventh International and Interdisciplinary Conference on Modeling and Using Context (CONTEXT'11), Karlsruhe, Germany, 2011, LNCS.
Wenzhu Zhang, Lin Zhang, Yong Ding, Takashi Miyaki, Dawud Gordon, and Michael Beigl. Mobile Sensing in Metropolitan Area: Case Study in Beijing, Mobile Sensing: Challenges, Opportunities and Future Directions (Ubicomp 2011 workshop), 2011.
Yong Ding, Behnam Banitalebi, Takashi Miyaki and Michael Beigl, RFTraffic: Passive Traffic Awareness Based on Emitted RF Noise from the Vehicles, In Proceedings of the 11th International Conference on ITS Telecommunications, Saint-Petersburg, Russia, August 2011, IEEE.
Markus Scholz, Yong Ding, Predrag Jakimovski and Hedda R. Schmidtke, Half a Century of Renovating, In Proceedings of the Intelligent Environments 2011 (IE'11) Workshops, Creative Science Workshop, Nottingham, UK, July 2011.
Naoya Namatame, Till Riedel, Takashi Miyaki, Yong Ding, Hideyuki Tokuda and Michael Beigl. 2011. A distributed resource management architecture for interconnecting Web-of-Things using uBox. In Proceedings of the Second International Workshop on Web of Things (WoT '11). ACM, New York, NY, USA, 6 pages, 2011.
Yong Ding, Naoya Namatame, Till Riedel, Takashi Miyaki and Matthias Budde, SmartTecO: Context-Based Ambient Sensing and Monitoring for Optimizing Energy Consumption, poster at ICAC'11, June 14-18, 2011, Karlsruhe, Germany, ACM Press.
Yong Ding, Wenzhu Zhang, Takashi Miyaki, Till Riedel, Lin Zhang and Michael Beigl, Smart Beijing: Correlation of Urban Electrical Energy Consumption with Urban Environmental Sensing for Optimizing Distribution Planning, Work in Progress (Energy 2011), 1st International Conference on Smart Grids, Green Communications and IT Energy-aware Technologies, Venice/Mestre, Italy, May 22-27, 2011.
T. Miyaki, Y. Ding, B. Banitalebi, and M. Beigl, Things that Hover: Interaction with Tiny Battery-less Robots on Desktop. CHI '11: Adjanct Proceedings of the 29th international conference on Human factors in computing systems, 2011.
Dawud Gordon, Stephan Sigg, Yong Ding, and Michael Beigl, Using prediction to conserve energy in recognition on mobile devices. In Pervasive Computing and Communications: Work in Progress (PERCOM WiP), 9th IEEE International Conference on, Seattle, Washington, IEEE, 2011.
Yong Ding, Hedda R. Schmidtke, Michael Beigl, Beyond Context-Awareness: Context Prediction in an Industrial Application, poster at UbiComp 2010, September 26-29, 2010, Copenhagen, Denmark, ACM Press.
Yong Ding, Friedemann Laue, Hedda R. Schmidtke, Michael Beigl, Sensing Spaces: Light-Weight Monitoring of Industrial Facilities, in BMI'10 Workshop in conjunction with KI 2010, September 21, 2010, Karlsruhe, Germany.
Video/Demo/Poster Co-Chair in The Seventh International and Interdisciplinary Conference on Modeling and Using Context (CONTEXT'11)
Session Chair of Green Computation in The First International Conference on Smart Grids, Green Communications and IT Energy-aware Technologies (Energy 2011)
Sebastian Rogowski, Bachelor's Thesis: "Ubiquitous Know-How Transfer Based on a Mobile Learning and Classification System", KIT, Ongoing
BA/MA or SA/DA: "Web Interface for Energy-aware Applications in Smart Office Environment"
BA/MA/DA: "Energy-aware Umgebung unter Nutzung von ad-hoc RESTful Web Services und Machine Learning Mechanismen"