Dr. Anirban Mukhopadhyay
M.E., Ph.D.(Engg.), Senior Member, IEEE
Professor & Head
Department of Computer Science and Engineering
University of Kalyani
Kalyani-741235, Nadia, West Bengal, India
Phone: +91 33 2580 9614 / 9615, Fax: +91 33 2582 82 82
Email: anirban@klyuniv.ac.in / anirban@ieee.org

Book Chapter

  1. A. Mukhopadhyay, U. Biswas, M. K. Naskar, U. Maulik, and S. Bandyopadhyay, “Minimization of Number of SADMs for Traffic Grooming in SONET/WDM Rings using Genetic Algorithm”, Handbook of Bioinspired Algorithms and Applications, Chapter 14, pp. 209-218, Chapman and Hall/CRC, 2006.

  2. A. Mukhopadhyay and U. Maulik and S. Bandyopadhyay, “Multiobjective Evolutionary Approach to Fuzzy Clustering of Microarray Data”, Analysis of Biological Data: A Soft Computing Approach, Vol. 3, Chapter 13, pp. 303-326, World Scientific, 2007.

  3. A. Mukhopadhyay and U. Maulik and S. Bandyopadhyay, “Identifying Potential Gene Markers using SVM Classifier Ensemble”, Computational Intelligence and Pattern Analysis in Biological Informatics, Chapter 12, pp. 277-291, Wiley, 2010.

  4. K. C. Mondal, A. Mukhopadhyay, U. Maulik, S. Bandhyapadhyay and N. Pasquier, "MOSCFRA: A Multi-objective Genetic Approach for Simultaneous Clustering and Gene Ranking", Computational Intelligence Methods for Bioinformatics and Biostatistics, LNCS, Vol. 6685, pp. 174-187, Springer-Verlag, 2011.

  5. A. Mukhopadhyay and S. Poddar, "A Matlab GUI Package for Comparing Data Clustering Algorithms", Soft Computing Techniques in Engineering Applications, Studies in Computational Intelligence, Vol. 543, pp. 33-48, Springer-Verlag, 2014.

  6. A. Mukhopadhyay, "MRI Brain Image Segmentation Using Interactive Multiobjective Evolutionary Approach", Handbook of Research on Natural Computing for Optimization Problems, Chapter 2, pp. 10-29, IGI Global, 2016.

  7. S. Mallik, U. Maulik, N. Tomar, T. Bhadra, A. Mukhopadhyay and A. Mukherji, "Machine Learning and Rule Mining Techniques in the Study of Gene Inactivation and RNA Interference", In Modulating Gene Expression - Abridging the RNAi and CRISPR-Cas9 Technologies, Interopen, Chapter 7, pp. 105-124, 2019.