Technische Universität München

Dragan Obradovic received his B.E. and M.E. degrees in Mechanical Engineering in 1980 and 1985 from the University of Belgrade, Serbia, the latter parallel to holding a Research Engineer position in the Institute Mihailo Pupin. In 1990 he received the Ph.D. degree in Mechanical Engineering from the Massachusetts Institute of Technology, Cambridge, USA. After finishing his PhD, he stayed at MIT until the end of 1991 in the position of a Postdoctoral Fellow at the Laboratory for Information and Decision Systems (LIDS). Since 1992, Obradovic has been with Siemens Corporate Technology, Information and Communications, in Munich, Germany where he currently holds a position of Principal Research Scientist. In addition, since 2001 Obradovic has been teaching as an Industrial Lecturer in the international “Masters of Science in Communication Engineering (MSCE)” program within the EE Department at Technical University Munich.

1997 SIEMENS INNOVATION PRIZE’97

1985 FULBRIGHT SCHOLARSHIP FOR GRADUATE STUDIES, Awarded by the USA-Yugoslav Commission for Cultural Exchange

Lupas-Scheiterer R., Na C., Obradovic D. and Steindl G. "Synchronization Performance of the Precision Time Protocol in Industrial Automation Networks." To appear in IEEE Transaction on Instrumentation and Measurement (2009).

Lenz H., Parodi B.B., Wang H., Szabo A., Bamberger J., Obradovic D., Horn J. and Hanebeck U. "Adaptive Localization in Wireless Networks" in Signal Processing Techniques for Knowledge Extraction and Information Fusion, Mandic D., Kuhn A., Tanaka T., Golz M., and Obradovic D., editors, Springer Science, (2008).

Na C., Obradovic D., and Szabo A.: "EM based channel estimation method for MIMO-OFDM systems", European Transactions on Telecommunications, Vol. 19, issue 8 (2008).

Obradovic D., Lenz H. and Schupfner M.: “Fusion of sensor data in Siemens car navigation system”, IEEE Trans.on Vehicular Technology, vol 56 (2007).

Obradovic D. and Lenz H., "Stabilizing higher periodic orbits of chaotic discrete-time maps," International Journal of Bifurcation and Chaos, Vol. 9, No. 1, 251-266 (1999).

Obradovic D. and Deco G., "Information Maximization and Independence Component Analysis: Is there a difference?", Neural Computation, vol. 10, no. 8, 2085-2101 (1998).

Obradovic D. and Lenz H., "When is OGY Control more than just Pole Placement," Int. J. Bif. and Chaos, Vol. 7, No. 3, 691-699 (1997).

Obradovic D., "On-line Training of Recurrent Neural Networks with Continuous Topology Adaptation," IEEE Tr. Neural Net., Vol. 7, No. 1, 222-228 (1996).

Deco G. and Obradovic D.: "An Information-Theoretic Approach to Neural Computing," Springer Verlag, New York (1996).

Obradovic D. and Valavani L., "Stability and Performance in the Presence of Magnitude Bounded Real Uncertainty: Riccati Equation Based State Space Approaches," Automatica, Vol. 28, No. 4, 827-830 (1992).

Obradovic’ research interests involve, among others, machine learning applications to signal processing, networked control systems, clock synchronization in automation systems, and control of wind turbines and of smart grid.