Yong Ding

  • Electrical engineer and data scientist
  • mail: KIT – Campus Süd – TECO, Vincenz-Prießnitz-Str. 1, 76131 Karlsruhe, Germany
  • University address: KIT – Campus Süd, Building 07.07, Vincenz-Prießnitz-Str. 1
  • email: ding@teco.edu
  • fon: +49 (721) 608-417-07
  • fax: +49 (721) 608-417-02

Work Experience and Research Interest

    I did my PhD under the supervision of Michael Beigl on the subject of Distributed Market-Grid Coupling Using Model Predictive Control. I studied Electrical Engineering in 2008 at University of Karlsruhe with focus on Automation and Information. My employment experience included 15 months Trainee Program in the energy company RWE and more than one year project management of electrical engineering in the division of conveyor equipment and process data processing. 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 is on the topics in the field of Smart Grid, Smart City and Big Data.

Projects

  • From May 2010 to September 2011 I worked 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.
  • From September 2011 to December 2013 I worked on diverse EIT ICT Labs activities, in particular in the field of Technology Transfer Program and Smart Energy Systems.
  • From July 2012 to June 2014 I worked on the BMBF (Federal Ministry of Education and Research) funded Software Campus project, with which I could push my PhD topic forwards through managing my own micro research project. My research topic in this project is VDAR – Distributed Autonomic Control Systems for Decentralized Energy Markets, which proposes hybrid approaches with distributed control loops to realize a real-time controlled energy market model through interacting with physical power systems.
  • Since September 2014 I work on both projects of SDIL: Smart Data Innovation Lab and SDSC: Smart Data Solution Center

Past Activcities

  • I was 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.
  • I took part in the 2012 Summer School of Young Researchers Transatlantic Academy. The Jülich Aachen Research Alliance (Germany) and the University of Pennsylvania School of Engineering and Applied Science have hosted an interdisciplinary 5-day Young Researchers Transatlantic Academy focusing on transferable skills for doctoral students from Germany and the US with the Theme Energy. This project was financed in part by the Federal Republic of Germany’s Transatlantic Program, with funds from the European Recovery Program (ERP) of the Federal Ministry for Economics and Technology (BMWi).
  • I was honored as one of the Software Campus students to take part in the panel discussion of Tagung zum IT-Gipfel “Wachstum und Internationalisierung im IT-Sektor” and the seventh German national IT Summit in Essen 2012.

Short CV

  • 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, IIIT
  • 05.2008-07.2009 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
  • 05.2010-06.2016 Research Assistant/PhD Student at TECO
    ~ 03.06.2016 defence of PhD thesis: Distributed Market-Grid Coupling Using Model Predictive Control
  • Since 06.2016 Postdoc at TECO

Publications

  • Martin Alexander Neumann, Christoph Tobias Bach, Yong Ding, Till Riedel and Michael Beigl. Seamless and Timely Dynamic Software Updating of Smart Grid Components. In Proceedings of the 2nd International Conference on Smart Grid Inspired Future Technologies (SmartGIFT 2017), London, Great Britain, March, 2017.
  • Antonios Karatzoglou, Julian Janßen, Vethiga Srikanthan, Yong Ding and Michael Beigl. Comfort-Efficiency-Equilibrium: A proactive,at room level individualized climate control system for smart buildings. In Proceedings of the 6th International Conference on Smart Cities and Green ICT Systems (SMARTGREENS 2017), Porto, Portugal, April, 2017.
  • Yong Ding, Axel Morawietz, and Michael Beigl. Investigation of a Grid-Driven Real-Time Pricing in a Simulation Environment. In Proceedings of the IEEE International Energy Conference (ENERGYCON 2016), Leuven, Belgium, April, 2016.
  • Yong Ding, Erwin Stamm, and Michael Beigl. Using Model Predictive Control to Interact Distributed Power Markets and Grids. In Proceedings of the IEEE International Energy Conference (ENERGYCON 2016), Leuven, Belgium, April, 2016.
  • Yong Ding, Julio Borges, Martin Alexander Neumann and Michael Beigl, Sequential Pattern Mining – a Study to Understand Daily Activity Patterns for Load Forecasting Enhancement, 1st IEEE International Smart Cities Conference (ISC2-2015), Guadalajara, Mexico, 25-28 October, 2015.
  • Yong Ding, Sozo Inoue, Martin A. Neumann, Erwin Stamm, Xincheng Pan and Michael Beigl, A Personalized Load Forecasting Enhanced by Activity Information, 1st IEEE International Smart Cities Conference (ISC2-2015), Guadalajara, Mexico, 25-28 October, 2015.
  • Yong Ding, Martin Alexander Neumann, Ömer Kehri, Geoff Ryder, Till Riedel and Michael Beigl, From Load Forecasting to Demand Response – A Web of Things Use Case, 5th International Workshop on the Web of Things (WoT) in conjunction with IoT 2014, ACM, Cambridge, MA, USA, October, 2014.
  • Yong Ding, Per Goncalves Da Silva, Martin Alexander Neumann, Lin Zhang, Michael Beigl, A Control Loop Approach for Integrating The Future Decentralized Power Markets and Grids, 4th International Conference on Smart Grid Communications (SmartGridComm), IEEE, October 2013.
  • Martin Alexander Neumann, Daniel Hassler, Yong Ding, Till Riedel and Michael Beigl, Temporally-Relaxed Conditions for Activation of Services in the Web of Things, 4th International Workshop on the Web of Things (WoT) in conjunction with Ubicomp 2013, ACM, September 2013.
  • Yong Ding, Martin Alexander Neumann, Per Goncalves Da Silva, Michael Beigl, A Framework for Short-Term Activity-Aware Load Forecasting, 2nd International Workshop on AI Problems and Approaches for Intelligent Environments (AI4IE) in conjunction with IJCAI 2013, August 2013.
  • Behnam Banitalebi, Yong Ding, Hedda R. Schmidtke and Michael Beigl, Channel Allocation Modification for Emergency Situations in IEEE 802.11 DCF Based Ad-hoc Networks, in Proceedings of Ninth International Conference on Networked Sensing Systems (INSS 2012), Antwerp, Belgium, June 2012.
  • Yong Ding, Martin Alexander Neumann, Dawud Gordon, Till Riedel, Takashi Miyaki, Michael Beigl, Wenzhu Zhang and Lin Zhang: A Platform-as-a-Service for in-situ Development of Wireless Sensor Network Applications, in Proceedings of Ninth International Conference on Networked Sensing Systems (INSS 2012), Antwerp, Belgium, IEEE.
  • 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.
  • 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.
  • Iana Vassileva, Fredrik Wallin, Yong Ding, Michael Beigl, and Erik Dahlquist, Household Indicators for Developing Innovative Feedback Technologies, in Proceedings of the 2nd international conference on ISGT EUROPE, Manchester, UK, IEEE, December 2011.
  • 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.
  • Takashi Miyaki, Yong Ding, Behnam Banitalebi, and Michael 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.

Academic Activities

Students

  • Kalin Atanasov, Diplom’s Thesis: “Non-Intrusive Appliance Load Classification Based on Hidden Markov Model”, KIT, finished
  • Sebastian Rogowski, Bachelor’s Thesis: “Ubiquitous Know-How Transfer Based on a Mobile Learning and Classification System”, KIT, finished
  • Erwin Stamm and Matthias Harrer, student research project: “Big Data Predictive Analytics Tool on Smart Meters”, KIT and DHBW Stuttgart, finished
  • Ömer Kehri, Diplom’s Thesis: “Correlation Analysis Between Human Behavior and Power Consumption”, KIT, finished
  • Axel Morawietz, Diplom’s Thesis: “Untersuchung eines netzgetriebenen Real Time Pricings in einer Simulationsumgebung”, KIT, finished
  • Christian Voigt, Master’s Thesis: “Deep Learning for Audio-based Classification in Our Daily Life”, KIT, finished
  • Benjamin Maurer, Bachelor’s Thesis: “A Novel Demand Side Management Framework for Developing Incentive-Based Energy Consumption Gambling Mechanisms”, KIT, finished

Open Theses

  • 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”
  • BA/MA/DA: “Co-simulation for Distributed Power Markets and Power Grids”
  • BA/MA/DA: “Big Data Analytics in the energy field”