Biography:

Narasimhan Sundararajan received the B.E in Electrical Engineering with First Class Honors from the University of Madras in 1966, M.Tech from the Indian Institute of Technology, Madras in 1968 and Ph.D.  in Electrical Engineering  from the University of Illinois, Urbana-Champaign in 1971.  

From 1972 to 1991, he was working in the Indian Space Research Organization, Trivandrum, India starting from Control System Designer to Director, Launch Vehicle Design Group contributing to the design and development of the Indian satellite launch vehicles.  He has also worked as a NRC Research Associate at NASA - Ames in 1974 and as a Senior Research Associate at NASA Langley in 1981-86. From February 1991 he is working in the School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, first as an associate professor (from 1991 to August 1999), and presently as a Professor. He was a “Prof. I.G.Sarma Memorial ARDB  Professor (an endowed visiting professor) during Nov.2002 – Feb 2003, at the School of Computer Science and Automation, Indian Institute of Science, Bangalore,  India. 

His research interests are in the areas of aerospace control, neural networks and parallel implementation of neural networks and has published more than 100 papers and also four books titled Fully Tuned Radial Basis Function Neural Networks for Flight Control, Boston MA: Kluwar, 2001, Radial Basis Function Neural Networks with Sequential Learning, World Scientific Publishing Co., 1999, Parallel Architectures for Artificial Neural Networks, IEEE Computer Society Press, 1998, and Parallel Implementation of Backpropagation Neural Networks, World Scientific Publishing Co., 1996. 

Dr. Sundararajan is a Fellow of IEEE, an Associate Fellow of AIAA and also a Fellow of the Institution of Engineers, Singapore. He was an Associate Editor of IEEE Transaction on Control System Technology, IFAC Journal on Control Engineering Practice, IEEE Robotics and Automation Magazine and for Control-Theory and Advanced Technology (C-TAT), Japan. He is also a member of the Board of Governors for the IEEE Control System Society from January 2005. He has contributed as a program committee member in a number of international conferences and was the General Chairman for the Sixth International Conference on Automation, Robotics, Control and Computer Vision ICARCV-2000 held in Singapore on Dec. 2000. He is listed in Marquis Who's Who in Science and Engineering, and  Men of Achievement, International Biographical Center, Cambridge, U.K.

Recent and/or Significant Publications:

1. S. Suresh , S. N. Omkar, V. Mani, and N. Sundararajan, Nonlinear Adaptive Neural Controller for Unstable Aircraft, To Appear in Journal of Guidance Control and Dynamics, 2005.

2. S. Suresh , S. N. Omkar, V. Mani, and N. Sundararajan, Direct Adaptive Neural Flight Controller for F8 Aircraft, To Appear in Journal of Guidance, Control and Dynamics, 2005.

3. Guang-Bin Huang, P. Saratchandran and N. Sundararajan, A Generalized Growing and Pruning RBF Neural Network for Function Approximation, IEEE Transactions on Neural Networks, Vol. , No. , 2004.

4. A. A. Pashilkar, N. Sundararajan, and P. Saratchandran, A Fault-Tolerant Neural Aided Controller for Aircraft Auto-Landing, Aerospace Science and Technology, 2005.

5. Yan Li, N. Sundararajan and P. Saratchandran, Neuro-Controller Design for Nonlinear Fighter Aircraft Maneuver using Fully Tuned RBF Networks, Automatica, Vol. 37, No. 8, pp. 1293-1301, February 2001.

6. Yan Li, N. Sundararajan, P. Saratchandran, Stable Neuro-Flight Controllers using Fully Tuned Radial Basis Function Neural Networks, Journal on Control, Guidance and Dynamics, Vol. 24, No. 4, pp. 665-674, July-August 2000.

7.  Deng Jianping, N. Sundararajan and P.Saratchandran, Communication Channel Equalization Using Complex-Valued Minimal Radial Basis Function Neural Network , IEEE Trans. on Neural Networks, Vol. 13, No. 3, pp. 687-696, May, 2002 .

8. Yingwei Lu, N. Sundararajan, P. Saratchandran, A Sequential Learning Scheme for Function Approximation using Minimal Radial Basis Function Neural Networks, Neural Computation, MIT Press, USA, Vol. 9, No. 2, pp. 461-478, February 1997.

9. Yan Li, N. Sundararajan, P. Saratchandran, Analysis of Minimal Radial Basis Function Network Algorithm for Real-Time Identification of Nonlinear Dynamic Systems, IEE Proceedings Part D - Control Theory and Applications, UK, Vol. 147, No. 4, pp. 476-484, July 2000.

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