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.


  • 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


Academic Activities


  • 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”