Professor Nikhil R. Pal

Nikhil R. Pal, Ph.D., FIETE, FNASc., FNAE, FNA, FIFSA, FIEEE is INAE Chair Professor, Electronics and Communication Sciences Unit (ECSU), Indian Statistical Institute. He is the Vice-President for Publications of the IEEE Computational Intelligence Society (CIS) (2013–2016) and the 2017 President-Elect of CIS.
 
His research interests include pattern recognition, medical and satellite image analysis, fuzzy sets theory, neural networks, evolutionary computation, bioinformatics, and brain science.
 
Nik is on the Editorial Boards of IEEE Transactions on Systems Man and Cybernetics – Part B/CYB, International Journal of Approximate Reasoning, International Journal of Knowledge Based Intelligent Engineering Systems, The International Journal of Hybrid Intelligent Systems, Neural Information Processing – Letters and Reviews, Fuzzy Sets and Systems, International Journal of Intelligent Computing in Medical Sciences and Image Processing, Fuzzy Information and Engineering : An International Journal, International Journal of Neural Systems (IJNS), and International Journal of Sensor Networks and Data Communications.
 
His books include Advanced Techniques in Knowledge Discovery and Data Mining (Advanced Information and Knowledge Processing), Pattern Recognition in Soft Computing Paradigm, Advances in Soft Computing – AFSS 2002: 2002 AFSS International Conference on Fuzzy Systems. Calcutta, India, February 3–6, 2002. Proceedings (Lecture Notes in Computer Science), and Fuzzy Models and Algorithms for Pattern Recognition and Image Processing (The Handbooks of Fuzzy Sets).
 
His papers include A review on image segmentation techniques, On cluster validity for the fuzzy c-means model, Some new indexes of cluster validity, A possibilistic fuzzy c-means clustering algorithm, Generalized clustering networks and Kohonen’s self-organizing scheme, Entropy: A new definition and its applications, Two soft relatives of learning vector quantization, A novel approach to design classifiers using genetic programming, and A neuro-fuzzy scheme for simultaneous feature selection and fuzzy rule-based classification. Read the full list of his publications!