Narendra S. Chaudhari

Narendra S. Chaudhari received his B.Tech. (with distinction), M.Tech., and Ph.D. degrees from the Indian Institute of Technology, Mumbai, India, in 1981, 1983, and 1988, respectively. After completing his B.Tech. degree in electrical engineering, he worked on the design of microprocessor-based electronic controllers in the Electronic Controls Division of Larsen and Toubro Ltd, Mumbai, in 1981. After receiving his Ph.D. degree in computer engineering, he was involved in graduate-level training for the defense scientists, Ministry of Defense, Government of India till 1998. He was a Visiting Professor in Southern Cross University, NSW, Australia, and Freie Universitat, Berlin. Currently, he is with School of Computer Engineering, Nanyang Technological University, Singapore, as an Associate Professor since 2001. His research interests are in the areas of neural networks, computational learning, and optimization algorithms. He has more than 100 research publications to his credit. He is a Fellow of Institution of Electronics and Telecommunication Engineers, India, Chartered Engineer of Institution of Engineers, India, Senior Member of Computer Society of India, and member of many professional societies, including Singapore Computer Society, and Pattern Recognition and Machine Intelligence Association, Singapore.

Biography Updated on 7 May 2007

Articles in Scholarly Journals [Incomplete List]

  1. Strategic Team AI Path Plans: Probabilistic Pathfinding
    International Journal of Computer Games Technology, vol. 2008, Article ID 834616, 6 pages, 2008
  2. Cascaded bidirectional recurrent neural networks for protein secondary structure prediction
    IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 4, no. 4, pp. 572–582, 2007
  3. A fast modified constructive-covering algorithm for binary multi-layer neural networks
    Neurocomputing, vol. 70, no. 1-3, pp. 445–461, 2006
  4. Auto-compensation of nonlinear influence of environmental parameters on the sensor characteristics using neural networks
    ISA Transactions, vol. 44, no. 2, pp. 165–176, 2005
  5. Bidirectional segmented-memory recurrent neural network for protein secondary structure prediction
    Soft Computing, vol. 10, no. 4, pp. 315–324, 2005
  6. Neural-Network-Based Smart Sensor Framework Operating in a Harsh Environment
    EURASIP Journal on Applied Signal Processing, vol. 2005, no. 4, pp. 558–574, 2005
  7. An approach for construction of Boolean neural networks based on geometrical expansion
    Neurocomputing, vol. 57, pp. 455–461, 2004
  8. Binary neural network training algorithms based on linear sequential
    International Journal of Neural Systems, vol. 13, no. 5, p. 333, 2003
  9. Formulation and analysis of parallel context-free recognition and parsing on a PRAM model
    Parallel Computing, vol. 22, no. 6, pp. 845–868, 1996
  10. Knowledge representation using fuzzy deduction graphs
    IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), vol. 26, no. 6, pp. 848–854, 1996
  11. Efficient parallel recognition of context-free languages
    Parallel Computing, vol. 20, no. 9, pp. 1303–1321, 1994