Dagmar Niebur


DEGREES: PhD EE, Swiss Federal Institute of Technology
OFFICE: Bossone 402
PHONE: 215-895-6794
EMAIL: niebur @ ece.drexel.edu

Research keywords: Intelligent Systems, Dynamical Systems, Power System Monitoring and Control, Power Quality


Dr. Dagmar Niebur received her MSc in mathematics with a minor in physics from the University of Dortmund, Germany in 1984. She received her MSc in Computer Science (1987), the Postgraduate Certificate in Artificial Intelligence (1987) and her PhD in Electrical Engineering (1994) from the Swiss Federal Institute of Technology, Lausanne, Switzerland. She has joined Drexel University as an Assistant Professor in the Department of Electrical and Computer Engineering in September 1997 where she teaches courses in the area of system theory and dynamics. Prior to her position at Drexel she has held research positions at the Jet Propulsion Laboratory, Pasadena, CA and the Swiss Federal Institute of Technology as well as a computer engineering position at the University of Lausanne. Her research focuses on intelligent information processing techniques for power system monitoring and control.

She is member of IEEE where she was appointed as liaison between the IEEE Power Engineering Society and the IEEE Neural Network Society. She serves as chair of the IEEE-Philadelphia Chapter on Power Engineering, Industry Applications, Professional Communications and Reliability. She also chairs the IEEE-PES Working Group in New Intelligent System Techniques, co-organizer of the 1996 IEEE- PES Tutorial on Applications of Neural Networks for Power Systems and instructor of the Fuzzy Control Applications at the 1997 IEEE- PICA Tutorial on Fuzzy Systems for Power Systems. She is a member of the Editorial Advisory Board of the International Journal of Engineering Intelligent Systems for Electrical Engineering and Communications. Other international activities include participation in technical program committees of the International Conference on Intelligent Systems for Power Systems, the International Conference on Artificial Neural Networks, the Power System Computing Conference and the organization of the ONR Workshop on Electric Shipboard System Modeling, Simulation and Control. She has authored/ co-authored over 40 refereed publications. In addition, she is the co-editor of the first book in the area of neural networks for power systems, the IEEE-PES Tutorial Lecture Notes and the IEEE Educational Video on the same topic.

Research Projects

  • Intelligent Information Processing for Power Systems
  • Symbolic Computation for Power Systems Security
  • Power System Monitoring and Control for Naval Shipboard Electric Power Distribution Systems
  • Development and Comparison of On-line Model Training Techniques for Model-Based FDD Methods Applied to Vapor Compression Equipment

Sample Publications

Liao, H. and Niebur, D., “Load Profile Estimation using Independent Component Analysis,” accepted for publication in the IEEE Transactions on Power Systems.

Stoicescu, R., Miu, K., Nwankpa, C., Niebur, D., Yang, X.., “3-Phase Converter Models for Power Flow Studies of Small Integrated AC/DC Power Systems,” IEEE Transactions on Power Systems, November 2002, 1016 -1021.

Novosel, D., Niebur, D., et al., “State-of-the-Art in Intelligent Controls,” invited chapter in CIGRE TF 38-02-17, Advanced Angle Stability Controls (C. Taylor convener), CIGRE TF38.02.17 Technical Brochure, April 2000.

Sochuliakova, D., Niebur, D., Nwankpa, C.O., Fischl, R. and Richardson, D., “Identification of Capacitor Position in a Radial System,” IEEE Transactions on Power Delivery, Vol. 14, No. 4, October 1999, 1368-1373.

Correia de Barros, M. T., Dillon, T. S., Niebur, D. (Guest Editors) Special Issue on Neural Net Applications to Power Systems, Int. Journal of Engineering Intelligent Systems for Electrical Engineering and Communications, Vol. 7, No. 1, March 1999.

Dillon, T. and Niebur, D. (eds.) Neural Net Applications in Power Systems, CRL Publishing Ltd., Leics, UK, 1996, ISBN 0 9527874 0 7.

Drexel University Department of Electrical and Computer Engineering