Curriculum Vitae: Duy Nguyen-Tuong

Educational Background
07.2007-12.2010Ph.D. Student
 supervised by Jan Peters
 Dept. Empirical Inference, Max-Planck Institute for Intelligent Systems, Tübingen, Germany
11.2006-05.2007Diplomarbeit (Master's thesis)
 Bosch Corporate Research, Schwieberdingen, Germany
 Thesis Title: Fault diagnosis of fully variable valve train using knock sensor signal
03.2006-08.2006Studienarbeit (Research thesis)
 Daimler AG Group Research, Stuttgart, Germany
 Thesis Title: Estimation of vehicle loading state
07.2005-12.2005Studienarbeit (Research thesis)
 Institute for Numerical Mechanics, University Stuttgart, Germany
 Thesis Title: Modeling the impact of planar deformable bodies using a linear complementarity formulation
10.2001-07.2007Studies in Automation Engineering
 University of Stuttgart, Germany
07.2004-08.2005Studies in Control Engineering
 National University of Singapore, Singapore
2000Abitur
 Moll-Gymnasium Mannheim, Germany
 
Research Positions
06.2008-07.2008Visiting Researcher
 Computational Learning and Motor Control Lab (Head: Stefan Schaal), University of Southern California, Los Angeles, USA
10.2005-07.2006Student Researcher
 Bosch Corporate Research, Schwieberdingen, Germany
05.2002-06.2004Student Researcher
 Zentrum für Fertigungstechnik Stuttgart, University Stuttgart, Germany
 
Industrial Experience
03.2011-nowResearcher at Robert Bosch gmbh
 Schwieberdingen, Germany
09.2006-11.2006Internship at Robert Bosch gmbh
 Stuttgart, Germany
02.2002-04.2002Internship at Robert Bosch gmbh
 Stuttgart, Germany
08.2001-10.2001Internship at Heidelberger Druckmaschinen AG
 Waldorf-Heidelberg, Germany
09.2000-08.2001Civil Service at Deutsche Stiftung für Internationale Entwicklung
 Mannheim, Germany
 
Oral Presentations and Workshop Organization
04.2008Learning Inverse Dynamics for Control
 at the European Symposium on Artificial Neural Networks (ESANN).
06.2008Computed Torque Control using Non-parametric Regression Models
 at the American Control Conference (ACC).
08.2008Learning Inverse Dynamics with Local Gaussian Process Regression
 at the Symposium on Learning and Adaptive Behaviour in Robotic Systems.
10.2008Local Gaussian Processes Regression for Real-time Model-based Robot Control
 at IEEE/RSJ Conference on Intelligent Robots and Systems (IROS).
10.2009Sparse Online Model Learning for Robot Control with Support Vector Regression
 at IEEE/RSJ Conference on Intelligent Robots and Systems (IROS).
12.2009Workshop Probabilistic Approaches for Robotics and Control.
 at Neural Information Processing Systems 2009 (NIPS).
05.2010Using Model Knowledge for Learning Inverse Dynamics
 at IEEE International Conference on Robotics and Automation (ICRA).
 
Awards and Honors
2008Finalist for Conference Best Paper Award
 IEEE/RSJ Conference on Intelligent Robots and Systems (IROS)
2004-2005Scholarship from Landesstiftung Baden-Württemberg
2007-2011Ph.D.-Scholarship from the Max-Planck Society
 
Paper Reviewing
2010Transactions on Evolutionary Computation
 International Conference on Robotics and Automation (ICRA)
 Advances in Neural Information Processing Systems (NIPS)
 Robotics: Science and Systems (RSS)
 Journal of Systems and Control Engineering
 International Conference on Robotic Systems (IROS)
2009International Conference on Robotics and Automation (ICRA)
 Advances in Neural Information Processing Systems (NIPS)
 Autonomous Robots Journal
 Neural Computation
 Journal of Systems and Control Engineering
2008International Conference on Robotics and Automation (ICRA)
 Human Movement Science
 International Conference on Neural Information Processing (ICONIP)
 Advances in Neural Information Processing Systems (NIPS)
 International Conference on Robotic Systems (IROS)
 International Symposium on Robot and Human Interactive Communication (RO-MAN)
 International Conference on Cognitive Systems (COGSYS)
 Journal of Systems and Control Engineering
 International Journal of Robotics Research (IJRR)
2007Systems, Man and Cybernetics - Part B
 Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
 
References, etc.
References are available upon request.

  

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