Senior Research Fellow of School of Electrical & Electronic Engineering
S. Suresh, N. Sundararajan and R. Savitha, Supervised Learning Algorithms with Complex-valued Neural Networks, Studies in Computational Intelligence 421, Springer-Verlag, 2013.
R. Savitha, S. Suresh and N. Sundararajan, “Projection-Based Fast Learning Fully Complex-Valued Relaxation Neural Network ,” IEEE Transactions on Neural Networks, Vol.24, No.4, pp. 529- 54 , April 2013.
K. Subramanian , S. Suresh and N. Sundararajan, “A Meta-Cognitive Neuro-Fuzzy Inference System (McFIS) for Sequential Classification Problems”, IEEE Transactions on Fuzzy Systems, 2013.
R. Savitha, S. Suresh, N. Sundararajan, and H. J. Kim, “A Fully Complex-valued Radial Basis Function Classifier for Real-valued Classification,” Neurocomputing, vol. 78, no. 1, 2012.
R. Savitha, S. Suresh and N. Sundararajan, “Fast Learning Circular Complex-valued Extreme Learning Machine (CC-ELM) for Real-valued Classification Problems,” Information Sciences, vol. 187, no. 1, pp. 277-290, 2012.
R. Savitha, S. Suresh and N. Sundararajan, “Metacognitive Learning in a Fully Complex-Valued Radial Basis Function Neural Network,”, Neural Computation, vol. 24, no. 5, pp. 1297-1328, 2012.
R. Savitha, S. Suresh, and N. Sundararajan, “A Metacognitive Fully Complex-valued Relaxation Network,” Neural Networks, 32, 209-218, 2012.
B.S. Mahanand, S. Suresh, N. Sundararajan and Aswatha Kumar, “Identification of brain regions responsible for Alzheimer’s disease using a Self-adaptive Resource Allocation Network ,” Neural Networks, 32, August, 2012, pp.313-322.
S. Suresh, R. Savitha, and N. Sundararajan, “A Sequential Learning Algorithm for Complex- valued Self-regulatory Resource Allocation Network – CSRAN”, IEEE Transactions on Neural Networks, Vol.22, No.7, pp.1061-107 , July 2011.
Saras Saraswathi, Suresh Sundaram, Narasimhan Sundararajan, Michael Zimmermann, Marit Nilsen-Hamilton, "ICGA-PSO-ELM approach for Accurate Multiclass Cancer Classification Resulting in Reduced Gene Sets in which Genes Encoding Secreted Proteins are Highly Represented, IEEE/ACM Transactions on Computational Biology and Bioinformatics, Vol.8, No.2, pp. 452 -463, March-April, 2011
Rong, H.-J., Sundararajan, N., Huang, G.-B., Zhao, G.-S. “Extended sequential adaptive fuzzy inference system for classification problems”, (2011) Evolving Systems, 2 (2), pp. 71-82.