Dr. Indrajit Saha

Activity in Publications

Books

I. Saha, N. Ghosh, D. Plewczynski, eds., "SARS-CoV-2: From Genetic Variability to Vaccine Design", Lausanne: Frontiers Media SA, 2022 (doi: 10.3389/978-2-83250-176-4)
F. Geraci, I. Saha , M. Bianchini, eds., "RNA-Seq Analysis: Methods, Applications and Challenges", Lausanne: Frontiers Media SA, 2020. (doi: 10.3389/978-2-88963-705-8)

Journals
[Total Impact : 234.163]

D. Santoni, N. Ghosh, C. Derelitto, and I. Saha, "Transcription Factor Driven Gene Regulation in COVID-19 Patients", Viruses, Vol. 15, pp. 1188, 2023. [Impact Factor: 4.7]
N. Ghosh, I. Saha, and A. Gambin, "Interactome-Based Machine Learning Predicts Potential Therapeutics for COVID-19", ACS Omega, Vol. 08, pp. 13840-13854, 2023. [Impact Factor: 4.13]
N. Ghosh, I. Saha, and D. Plewczynski, "Unveiling the Biomarkers of Cancer and COVID-19 and Their Regulations in Different Organs by Integrating RNA-Seq Expression and Protein-Protein Interactions", ACS Omega, Vol. 07, pp. 43589-43602, 2022. [Impact Factor: 4.13]
I. Saha, N. Ghosh, and D. Plewczynski, "Identification of Human miRNA Biomarkers targeting SARS-CoV-2 Genome", ACS Omega, Vol. 07, pp. 46411-46420, 2022. [Impact Factor: 4.13]
N. Ghosh, I. Saha, N. Sharma and S. Nandi, "Bioinformatics Pipeline unveils Genetic Variability to Synthetic Vaccine Design for Indian SARS-CoV-2 Genomes", International Immunopharmacology, Vol. 112, pp. 109224, 2022. [Impact Factor: 4.932]
I. Saha, N. Ghosh and D. Plewczynski, "Editorial: SARS-CoV-2: From Genetic Variability to Vaccine Design", Frontiers in Genetics, Vol. 13, pp. 960107, 2022. [Impact Factor: 4.599]
J. P. Sarkar, I. Saha, N. Ghosh, D. Maity and D. Plewczynski, "Online Predictor using Machine Learning to Predict Novel Coronavirus and Other Pathogenic Viruses", ACS Omega, Vol. 7, pp. 23069-23074, 2022. [Impact Factor: 4.13]
N. Ghosh, I. Saha, N. Sharma and J. P. Sarkar, "Human miRNAs to Identify Potential Regions of SARS-CoV-2", ACS Omega, Vol. 7, pp. 21086-21101, 2022. [Impact Factor: 4.13]
N. Ghosh, S. Nandi and I. Saha, "Phylogenetic Analysis of 17271 Indian SARS-CoV-2 Genomes to Identify Temporal and Spatial Hotspot Mutations", PLoS ONE, Vol. 17, pp. e0265579, 2022. [Impact Factor: 3.75]
N. Ghosh, I. Saha, S. Nandi and N. Sharma, "Characterisation of SARS-CoV-2 Clades based on Signature SNPs unveils Continuous Evolution", Methods, Vol. 203, pp. 282-296, 2022. [Impact Factor: 4.647]
N. Ghosh, I. Saha and D. Plewczynski, "Genome-wide Analysis to Identify Palindromes, Mirror and Inverted Repeats in SARS-CoV-2, MERS-CoV and SARS-CoV-1", IEEE Access, Vol. 10, pp. 23708-23715, 2022. [Impact Factor: 3.367]
N. Ghosh, S. Nandi, I. Saha, "A Review on Evolution of Emerging SARS-CoV-2 Variants based on Spike Glycoprotein", International Immunopharmacology, Vol. 105, pp. 108565, 2022. [Impact Factor: 4.932]
N. Ghosh, I. Saha, N. Sharma, "Palindromic Target Site Identification in SARS-CoV-2, MERS-CoV and SARS-CoV-1 by Adopting CRISPR-Cas Technique", Gene, Vol. 818, pp. 146136, 2022. [Impact Factor: 3.688]
D. Santoni, N. Ghosh, I. Saha, "An entropy-based study on mutational trajectory of SARS-CoV-2 in India", Infection, Genetics and Evolution, Vol. 97, pp. 105154, 2022. [Impact Factor: 3.342]
I. Saha, N. Ghosh, N. Sharma, S. Nandi, "Hotspot Mutations in SARS-CoV-2", Frontiers in Genetics, Vol. 12, pp. 753440, 2021. [Impact Factor: 4.599]
N. Ghosh, I. Saha, N. Sharma, "Interactome of Human and SARS-CoV-2 Proteins to Identify Human Hub Proteins Associated with Comorbidities", Computers in Biology and Medicine, Vol. 138, pp. 104889, 2021. [Impact Factor: 4.589]
N. Ghosh, I. Saha, J. P. Sarkar, U. Maulik, "Strategies for COVID-19 Epidemiological Surveillance in India: Overall Policies till June 2021", Frontiers in Public Health, Vol. 9, pp. 708224, 2021. [Impact Factor: 3.709]
N. Ghosh, N. Sharma, I. Saha, "Immunogenicity and Antigenicity based T-cell and B-cell Epitopes Identification from Conserved Regions of 10664 SARS-CoV-2 Genomes", Infection, Genetics and Evolution, Vol. 92, pp. 104823, 2021. [Impact Factor: 3.342]
N. Ghosh, I. Saha, N. Sharma, S. Nandi, D. Plewczynski, "Genome-wide Analysis of 10664 SARS-CoV-2 Genomes to Identify Virus Strains in 73 Countries based on Single Nucleotide Polymorphism", Virus Research, Vol. 298, pp. 198401, 2021. [Impact Factor: 3.303]
I. Saha, N. Ghosh, A. Pradhan, N. Sharma, D. Maity and K. Mitra, "Whole Genome Analysis of more than 10000 SARS-CoV-2 Virus Unveils Global Genetic Diversity and Target region of NSP6", Briefings in Bioinformatics, Vol. 22, pp. 1106–1121, 2021. [Impact Factor: 11.622]
J. P. Sarkar, I. Saha , A. Sarkar and U. Maulik, "Machine Learning Integrated Ensemble of Feature Selection Methods followed by Survival Analysis for Predicting Breast Cancer Subtype specific miRNA Biomarkers", Computers in Biology and Medicine, Vol. 131, pp. 104244, 2021. [Impact Factor: 4.589]
I. Saha , N. Ghosh, D. Maity, A. Seal and D. Plewczynski, "COVID-DeepPredictor: Recurrent Neural Network to Predict SARS-CoV-2 and Other Pathogenic Viruses", Frontiers in Genetics, Vol. 12, pp. 569120, 2021. [Impact Factor: 4.599]
J. P. Sarkar, I. Saha , D. Maity, A. Seal and U. Maulik, "Topological Analysis for Sequence Variability: Case Study on more than 2K SARS-CoV-2 sequences of 54 countries in comparison with SARS-CoV-1 and MERS-CoV", Infection, Genetics and Evolution, Vol. 88, pp. 104708, 2020. [Impact Factor: 3.342]
N. Ghosh, N. Sharma, I. Saha and S. Saha, "Genome-wide Analysis of Indian SARS-CoV-2 Genomes to Identify T-cell and B-cell Epitopes from Conserved Regions based on Immunogenicity and Antigenicity", International Immunopharmacology, Vol. 91, pp. 107276, 2020. [Impact Factor: 4.932]
A. Das, I. Saha and R. Scherer, "GhoMR: Multi-Receptive Lightweight Residual Modules for Hyperspectral Classification", Sensors, Vol. 20(23), pp. 6823, 2020. [Impact Factor: 3.576]
I. Saha , N. Ghosh, D. Maity, N. Sharma and K. Mitra, "Inferring the genetic variability in Indian SARS-CoV-2 genomes using consensus of multiple sequence alignment techniques", Infection, Genetics and Evolution, Vol. 75, pp. 104522, 2020. [Impact Factor: 3.342]
J. P. Sarkar, I. Saha , A. Lancucki, N. Ghosh, M. Wlasnowolski, G. Bokota, A. Dey, P. Lipinski and D. Plewczynski, "Identification of miRNA Biomarkers for Diverse Cancer Types using Statistical Learning Methods at the Whole Genome Scale Provisionally accepted The final", Frontiers in Genetics, Vol. 11, pp. 982, 2020. [Impact Factor: 4.599]
I. Saha , N. Ghosh, D. Maity, N. Sharma, J. P. Sarkar and K. Mitra, "Genome-wide analysis of Indian SARS-CoV-2 genomes for the identification of genetic mutation and SNP", Infection, Genetics and Evolution, Vol. 85, pp. 104457, 2020. [Impact Factor: 3.342]
F. Geraci, I. Saha , M. Bianchini, "Editorial: RNA-Seq Analysis: Methods, Applications and Challenges", Frontiers in Genetics, Vol. 11, pp. 220, 2020. [Impact Factor: 4.599]
M. Denkiewicz, I. Saha, S. Rakshit, J. P. Sarkar and D. Plewczynski, "Identification of Breast Cancer subtype specific MicroRNAs using Survival Analysis to find their role in transcriptomic regulation", Frontiers in Genetics, Vol. 10, pp. 1047, 2019. [Impact Factor: 4.599]
J. P. Sarkar, I. Saha, S. Chakraborty and U Maulik, "Machine Learning Integrated Credibilistic Semi Supervised Clustering for Categorical data", Applied Soft Computing, Vol. 86, pp. 105871, 2019. [Impact Factor: 6.725]
N. Pant, S. Rakshit, S. Paul and I. Saha, "Genome-wide Analysis of Multi-View Data of miRNA-seq to Identify miRNA Biomarkers for Stomach Cancer", Journal of Biomedical Informatics, Vol. 97, pp. 103254, 2019. [Impact Factor: 6.317]
I. Saha, J. P. Sarkar and U Maulik, "Integrated Rough Fuzzy Clustering for Categorical data Analysis", Fuzzy Sets and Systems, Vol. 361, pp. 1-32, 2019. [Impact Factor: 3.343]
S. S. Bhowmick, I. Saha, D. Bhattacharjee, L. M. Genovese and F. Geraci, "Genome-wide analysis of NGS data to compile cancer-specific panels of miRNA biomarkers", Plos One, Vol. 13, e0200353, 2018. [Impact Factor: 3.240]
J. P. Sarkar, I. Saha and U. Maulik, "Rough Possibilistic Type-2 Fuzzy C-Means Clustering for MR Brain Image Segmentation", Applied Soft Computing, Vol. 46, pp. 527-536, 2016. [Impact Factor: 6.725]
I. Saha, B. Rak, S. S. Bhowmick, U. Maulik, D. Bhattacharjee, U. Kochh, M. Lazniewski, D. Plewczynski, "Binding Activity Prediction of Cyclin-Dependent Inhibitors", Journal of Chemical Information and Modeling, Vol. 55, No. 7, pp. 1469-1482, 2015. [Impact Factor: 4.956]
I. Saha, J. P. Sarkar and U. Maulik, "Ensemble based Rough Fuzzy Clustering for Categorical Data", Knowledge-Based Systems, Vol. 77, pp. 114-127, 2015. [Impact Factor: 8.038]
I. Saha, J. Zubek, T. Klingstrom, S. Forsberg, J. Wikander, M. Kierczak, U. Maulik and D. Plewczynski, "Ensemble Learning Prediction of Protein-Protein Interactions using Proteins Functional Annotations", Molecular BioSystems, Vol. 10, No. 4, pp. 820-830, 2014. [Impact Factor: 3.336]
I. Saha and U. Maulik, "Incremental Learning based Multiobjective Fuzzy Clustering for Categorical Data", Information Sciences, Vol. 267, pp. 35-57, 2014. [Impact Factor: 6.795]
S. Dey, I. Saha, U. Maullik and S. Bhattacharyya, "Multi-level Thresholding using Quantum Inspired Meta-heuristics", Knowledge-Based Systems, Vol. 67, pp. 373-400, 2014. [Impact Factor: 8.038]
I. Saha, G. Mazzocco and D. Plewczynski, "Consensus classification of Human Leukocyte Antigens class II proteins", Immunogenetics, Vol. 65, No. 2, pp. 97-105, 2013. [Impact Factor: 2.846]
D. Plewczynski, S, Basu and I. Saha, "AMS 4.0: Consensus Prediction of Post-Translational Modifications in Protein Sequences", Amino Acids, Vol. 43, No. 2, pp. 573-582, 2012. [Impact Factor: 3.520]
I. Saha, D. Plewczynski, U. Maulik and S. Bandyopadhyay, "Improved Differential Evolution for Microarray Analysis", International Journal of Data Mining and Bioinformatics, Vol. 6, No. 1, pp. 86-103, 2012. [Impact Factor: 0.667]
I. Saha, U. Maulik, S. Bandyopadhyay and D. Plewczynski, ""Fuzzy Clustering of Physicochemical and Biochemical Properties of Amino Acids", Amino Acids, Vol. 43, No. 2, pp. 583-594, 2012. [Impact Factor: 3.520]
I. Saha, U. Maulik, S. Bandyopadhyay and D. Plewczynski, "SVMeFC: SVM ensemble Fuzzy Clustering for Satellite Image Segmentation", IEEE Geoscience and Remote Sensing Letters, Vol. 9, No. 1, pp. 52-55, 2011. [Impact Factor: 3.966]
I. Saha, U. Maulik, S. Bandyopadhyay and D. Plewczynski, "Improvement of new automatic differential fuzzy clustering using SVM classifier for microarray analysis", Expert Systems with Applications, Vol. 38, No. 12, pp. 15122-15133, 2011. [Impact Factor: 6.954]
I. Saha, U. Maulik and D. Plewczynski, "A New Multi-objective technique for Differential Fuzzy Clustering", Applied Soft Computing, Vol. 11, No. 2, pp. 2765-2776, 2011. [Impact Factor: 6.725]
I. Saha, U. Maulik, S. Bandyopadhyay and D. Plewczynski, "Unsupervised and Supervised learning approaches together for Microarray Analysis", Fundamenta Informaticae, Vol. 106, No. 1, pp. 45-73, 2011. [Impact Factor: 1.298]
U. Maulik and I. Saha, " Automatic Fuzzy Clustering using Modified Differential Evolution for Image Classification", IEEE Transactions on Geoscience and Remote Sensing, Vol. 48, No. 9, pp. 3503-3510, 2010. [Impact Factor: 5.600]
U. Maulik, S. Bandyopadhyay and I. Saha, "Integrating Clustering and Supervised learning for Categorical Data Analysis", IEEE Transactions on Systems, Man and Cybernetics - Part A, Vol. 40, No. 4, pp. 664-675, 2010. [Impact Factor: 2.180]
U. Maulik and I. Saha, "Modified differential evolution based fuzzy clustering for pixel classification in remote sensing imagery", Pattern Recognition. Vol. 42, No. 9, pp. 2135-2149, 2009. [Impact Factor: 7.740]
I. Saha and A. Mukhopadhyay, "Improved Crisp and Fuzzy Clustering Techniques for Categorical Data", IAENG International Journal of Computer Science. Vol. 35, No. 1, Issue-4, pp. 438-450, 2008. [Impact Factor : 1.680]

Book Chapters

I. Saha and U. Maulik, "Multiobjective Differential Evolution based Fuzzy Clustering for MR Brain Image Segmentation", Advanced Computational Approaches to Biomedical Engineering, P. Saha, U. Maulik and S. Basu, (Eds.), Springer, Heidelberg, Germany, pp. 71-86, 2014 (ISBN 978-3-642-41538-8).
I. Saha and U. Maulik, "Integrated Differential Fuzzy Clustering for Analysis of Microarray Data", Computational Intelligence and Pattern Analysis in Biology Informatics, U. Maulik, S. Bandyopadhyay and J. T. L. Wang (Eds.), John Wiley & Sons, Inc., pp. 257-276, 2010 (ISBN: 978-0-470- 58159-9).
I. Saha and U. Maulik, "Improved Fuzzy Clustering Techniques for Categorical Data", IAENG Transactions on Engineering Technologies, American Institute of Physics, Vol. 1089, pp. 82-93, January 2009.

Conference Proceedings and Posters

S. Guptaa, N. Sharma, N. Ghosh, I. Saha, "Comparative Study of Deep Transfer Learning Techniques for the Detection of COVID-19 using Chest X-Ray Images", In Proc. of National Conference on Engineering Education (NCEE), Kolkata, India, November 2021 (in press).
S. Rajput, A. Yadav, S. Nandi, I. Saha, D. P. Mishra, "Development of Inventory Management System: Case Study of NITTTR Kolkata", In Proc. of National Conference on Engineering Education (NCEE), Kolkata, India, November 2021 (in press).
N. Sharma, S. Gupta, N. Ghosh, I. Saha, "Face Identification and Recognition of STTP Participants of NITTTR Kolkata with the Integration of Feature Extractor and Machine Learning: A Comparative Study", In Proc. of National Conference on Engineering Education (NCEE), Kolkata, India, November 2021 (in press).
N. Ghosh, I. Saha, D. Maity, A. Seal and D. Plewczynski, "Deep Learning for the Prediction of Novel Coronavirus", in Poster of 28th International Conference on Intelligent Systems for Molecular Biology (ISMB), July, 2020.
I. Saha, S. Rakshit, M. Denkiewicz, J. P. Sarkar, D. Maity, U. Maulik and D. Plewczynski, "Survival Analysis with the Integration of RNA-Seq and Clinical Data to Identify Breast Cancer Subtype specific Genes", In Proc. of 8th Int. Conf. on Pattern Recognition and Machine Intelligence (PReMI), Tezpur, India, pp. 139-146, December 2019.
I. Saha, S. Rakshit. M. Wlasnowolski, D. Plewczynski, "Identification of Epigenetic Biomarkers with the use of Gene Expression and DNA Methylation for Breast Cancer Subtypes", In Proc. of IEEE Region 10 Conference TENCON, Kochi, India, pp. 415-420, October 2019.
J. P. Sarkar, I. Saha, S. Rakshit, M. Pal, M. Wlasnowolski, A. Sarkar, U. Maulik, D. Plewczynski, "A New Evolutionary Rough Fuzzy Integrated Machine Learning Technique for microRNA selection using Next-Generation Sequencing data of Breast Cancer", In Proc. of Genetic and Evolutionary Computation Conference (GECCO), Prague, Czech Republic, pp. 1846-1854, July 2019.
S. Rakshit, N. Pant, S. Paul, I. Saha, "Identification of Four miRNAs by Analysing Multi-View miRNA-seq Data of Stomach Cancer", In Proc. of IEEE TENSYMP, Kolkata, India, pp. --, June 2019.
S. Rakshit, I. Saha, D. Plewczynski, "Deep Learning for Detection and Localization of Thoracic Diseases using Chest X Ray Imagery", In Proc. of 18th International Conference on Artificial Intelligence and Soft Computing Research, Zakopane, Poland, pp. 271-282, June 2019.
S. Rakshit, I. Saha, S. S. Chakraborty, D. Plewczynski, "Deep Learning for Integrated Analysis of Breast Cancer Subtype Specific Multi-omics Data", In Proc. of IEEE Region 10 Conference TENCON, Jeju, South Korea, pp. 1917-1922, October 2018.
I. Saha, S. Rakshit, T. Ghosh, "Machine Learning for Object Labelling", In Proc. of IEEE Region 10 Conference TENCON, Jeju, South Korea, pp. 1420-1425, October 2018.
I. Saha and N. Debnath, "Semi-Supervised Learning with the Integration of Fuzzy Clustering and Artificial Neural Network", In Proc. of 17th Int. Conf. HIS, Delhi, India, pp. 20-29, December 2017.
J. P. Sarkar, I. Saha, A. Sarkar and U. Maulik, "Improving Modified Differential Evolution for Fuzzy Clustering", In Proc. of 17th Int. Conf. HIS, Delhi, India, pp. 136-146, December 2017.
A. Dey, I. Saha and U. Maulik, "A Survey on Multiple Sequence Alignment using Metaheuristics", In Proc. of 7th Int. Conf. CSTN, Nagpur, India, pp. 279-284, November 2017.
S. Karmakar, A. Dey and I. Saha, "Use of Quantum-inspired Metaheuristics during Last Two Decades", In Proc. of 7th Int. Conf. CSTN, Nagpur, India, pp. 272-278, November 2017.
S. S. Bhowmick, I. Saha, L. Rato and D. Bhattacharjee, "Integrated Classifier: A Tool for Microarray Analysis", In Proc. of 2nd Int. Conf. CICBA 2017, Kolkata, India, pp. 30-43, March 2017.
S. S. Bhowmick, I. Saha, U. Maulik and D. Bhattacharjee, "Biomarker Identification Using Next Generation Sequencing Data of RNA", In Proc. of Int. Conf. ICACCI 2016, Jaipur, India, pp. 299-303, September 2016.
A. Lancucki, I. Saha, S. S. Bhowmick, U. Maulik and P. Lipinski, "A New Evolutionary MicroRNA Marker Selection using Next-Generation Sequencing Data", In Proc. of Int. IEEE CEC, Vancouver, Canada, pp. 2752-2759, July 2016.
S. S. Bhowmick, I. Saha, U. Maulik and D. Bhattacharjee, "Identification of miRNA Signature using Next-Generation Sequencing data of Prostate Cancer", In Proc. of 3rd Int. Conf. RAIT, Dhanbad, India, pp. 528-533, March 2016.
I. Saha, S. S. Bhowmick, F. Geraci, M. Pellegrini, D. Bhattacharjee, U. Maulik and D. Plewczynski, "Analysis of Next-Generation Sequencing data of miRNA for the Prediction of Breast Cancer", In Proc. of 6th Int. Conf. SEMCCO, Hyderabad, India, pp. 116-127, December 2015.
G. Mazzocco, S. S. Bhowmick, I. Saha , U. Maulik, D. Bhattacharjee and D. Plewczynski, "MaER: A new Ensemble based Multiclass Classifier for Binding Activity Prediction of HLA Class II Proteins", In Proc. of 6th Int. Conf. PReMI, Warsaw, Poland, pp. 462-471, June 2015.
A. Lancucki, I. Saha and P. Lipinski, "A new Evolutionary Gene Selection Technique", In Proc. of Int. IEEE CEC, Sendai, Japan, pp. 1612-1619, May 2015.
J. P. Sarkar, I. Saha and U. Maulik, "A new SVM integrated Rough Type-II Fuzzy Clustering Technique", In Proc. of IEEE Int. Conf. ICIIS, Gwalior, India, pp. 1-6, December 2014.
S. S. Bhowmick, I. Saha, L. Rato and D. Bhattacharjee, "MR Brain Image Classification: A Comparative Study on Machine Learning Methods", In Proc. of 4 as Jornadas de Informatica da Universidade de Evora - JIUE2014 (4th Workshops of Informatics, University of Evora), Portugal, pp. 113-121, 2014.
S. S. Bhowmick, I. Saha, G. Mazzocco, U. Maulik, L. Rato, D. Bhattacharjee and D. Plewczynski, "Application of RotaSVM for HLA class II Protein-Peptide Interaction Prediction", In Proc. of Int. Conf. BIOINFORMATICS 2014, Loire Valley, France, pp. 178-185, March 2014.
I. Saha, T. Klingstrom, S. Forsberg, J. Wikander, J. Zubek, M. Kierczak and D. Plewczynski, "Evaluation of Machine Learning Algorithms on Protein-Protein Interactions", In Proc. of 3rd Int. Conf. ICMMI, Beskids, Poland, pp. 211-218, October 2013.
I. Saha, U. Maullik and D. Plewczynski, "Multiobjective Differential Evolution: A Comparative Study on Benchmark Problems", In Proc. of 3rd Int. Conf. ICMMI, Beskids, Poland, pp. 529-536, October 2013.
S. Dey, I. Saha, U. Maullik and S. Bhattacharyya, "New Quantum Inspired Meta-heuristic Methods for Multi-level Thresholding", In Proc. of 2nd Int. Conf. ICACCI, Mysore, India, pp. 1236-1240, August 2013.
I. Saha, D. Maity and U. Maulik, "Categorical Data Analysis using Multiobjective Differential Evolution based Fuzzy Clustering", In Proc. of 2nd Int. Conf. ICACCI, Mysore, India, pp. 2013-2017, August 2013.
S. S. Bhowmick, I. Saha, L. Rato and D. Bhattacharjee, "Improving Performance of Classifiers using Rotational Feature Selection Scheme", In Proc. of 2nd Int. Conf. CES, Los Angeles, CA, USA, pp. 313-318, July 2013.
S. S. Bhowmick, I. Saha, L. Rato and D. Bhattacharjee, "RotaSVM: A new Ensemble Classifier", In Proc. of Int. Conf. EVOLVE, Leiden, The Netherland, pp. 47-57, July 2013.
I. Saha, D. Plewczynski, J. Zubek, M. Lukasik and S. Basu, " Linking multi-scale properties of biomolecules and machine learning prediction of their biological function ", In Poster of the Workshop on Biomolecules and Nanostructures 4 (BIONANO4), Pultusk, Poland, May 2013.
D. Maity, I. Saha, U. Maulik, and D. Plewczynski, "Soft Computing approach for VLSI Mincut Partitioning: The state of the arts", In Proc. of 2nd Int. Conf. SocProS, Jaipur, India, pp. 895-904 December 2012.
I. Saha, J. P. Sarkar and U. Maulik, "Rough set based Fuzzy K-Modes for Categorical Data", In Proc. of 2nd Int. Conf. SEMCCO, Bhubaneswar, Odisha, India, pp. 323-330, December 2012.
I. Saha, U. Maulik, and D. Plewczynski, " Application of High Quality Amino Acid Indices to AMS 3.0: An Update Note", In Proc. of 7th Int. Conf. BIC-TA, Gwalior, India, pp. 217-225, December 2012.
I. Saha, U. Maulik and D. Plewczynski, "Towards improving self-adaptive Differential Evolution for Numerical Optimization : A Progress Note", In Proc. of 2nd Int. Conf. ICCCS, Rourkela, Odisha, India, pp. 49-56, October 2012.
D. Plewczynski, I. Saha, U. Maulik and S. Basu, "AMS 4.0: 2012 update of AutoMotif phosphorylation sites identification too", In Poster of the 11th European Conference on Computational Biology (ECCB), Basel, Switzerland, September 2012.
I. Saha, G. Mazzocco and D. Plewczynski, "MetaPredictor for Human Leukocyte Antigens class II proteins", In Poster of the 11th European Conference on Computational Biology (ECCB), Basel, Switzerland, September 2012.
I. Saha, U. Maulik and D. Plewczynski, "Multiobjective Differential Crisp Clustering for Evaluation of Clusters Dynamically", In Proc. of 2nd Int. Conf. ICMMI, Beskids, Poland, pp. 307-313, October 2011.
I. Saha, U. Maulik and D. Plewczynski, "PMAFC: A New Probabilistic Memetic Algorithm Based Fuzzy Clustering", In Proc. of 19th Int. Conf. ISMIS, Warsaw, Poland, pp. 602-611, June 2011.
I. Saha, U. Maulik, S. Bandyopadhyay and D. Plewczynski, "Cancer Classification using SVM-boosted Multiobjective Differential Fuzzy Clustering", In Proc. of 19th Int. Conf. ECAI-STAIRS, Portugal, Lisbon, pp. 290-302, August 2010.
I. Saha, D. Plewczynski, U. Maulik and S. Bandyopadhyay, "Real-Coded Differential Crisp Clustering for MRI Brain Image Segmentation", In Proc. of Int. WCCI Conf. IEEE Congress on Evolutionary Computation, Barcelona, Spain, pp. 3912-3919, July 2010.
I. Saha, D. Plewczynski, U. Maulik and S. Bandyopadhyay, "Consensus Multiobjective Differential Crisp Clustering for Categorical Data Analysis", In Proc. of 7th Int. Conf. RSCTS, Warsaw, Poland , pp. 30-39, June 2010.
I. Saha, D. Plewczynski, U. Maulik and S. Bandyopadhyay , "Improvement of Differential Crisp Clustering using ANN Classifier for Unsupervised pixel Classification of Satellite Image", In Proc. of 12th Int. Conf. ICEIS, Funchal, Madeira - Portugal, pp. 21-29, June 2010.
I. Saha, "Use of Multiobjective Differential Fuzzy Clustering with ANN Classifier for Unsupervised Pattern Classification: Application to Microarray Analysis", In Proc. of 4th Int. Conf. RCIS, Nice, France, pp. 647-656, May 2010. (Accepted as Doctoral Paper)
I. Saha, N. Patra and U. Maulik, "Index encoding approach for new Improved Differential Crisp Clustering : Application to Microarray Data", In Proc. of 12th Int. Conf. ICIT, Bhubaneswar, India, pp. 111-117, December 2009.
I. Saha, N. Patra and U. Maulik, "Differential Fuzzy Clustering for Categorical Data", In Proc. of Int. Conf. ICM2CS, Delhi, India, pp. 193-198, December 2009.
I. Saha, U. Maulik and S. Bandyopadhyay, "An Improved Multi-objective Technique for Fuzzy Clustering with Application to IRS Image Segmentation", In Proc. of 11th Int. European Workshop on EvoIASP, Tuebinger, Germany, pp. 426-431, April 2009.
A. Sur, N. Patra, S. Chakraborty and I. Saha, "A new Wavelet based Edge detection Technique for Iris Imagery", In Proc. of Int. Conf. IEEE IACC, Patiala, India, pp. 120-124, March 2009.
I. Saha, U. Maulik and S. Bandyopadhyay, "A new Differential Evolution based Fuzzy Clustering for Automatic Cluster Evolution", In Proc. Int. of Conf. IEEE IACC, Patiala, India, pp. 706-711, March 2009.
I. Saha, A. Mukhopadhyay and U. Maulik, "Combining Fuzzy Clustering with ANN Classifier for Categorical Data", In Proc. of Int. Conf. IEEE IACC, Patiala, India, pp. 44-49, March 2009.
I. Saha, A. Mukhopadhyay and U. Maulik, "Effectiveness of Two Stage Clustering Technique for Categorical Data", In Proc. of Int. Conf. C3IT, Hooghly, India, pp. 585-592, February 2009.
U. Maulik and I. Saha, "Differential Evolution based Fuzzy Clustering Technique: Application to Satellite Image Segmentation", In Proc. of Int. Conf. ICSCI, Hyderabad, India, Vol. 1, No. CI-2.5, pp. 360-366, January 2009.
I. Saha, A. Mukhopadhyay and U. Maulik, "Unsupervised Pattern Classification for Categorical Data : A Two Stage Fuzzy Clustering Approach", In Proc. of Nat. Conf. CoCoSYS, Bardwan, India, pp. 125-130, January 2009.
I. Saha and A. Mukhopadhyay, "Fuzzy Clustering using Optimization Tool with Application to Categorical Data", In Proc. of Int. Conf. PICETE, Nasik, India, December 2008.
I. Saha and A. Mukhopadhyay, "Genetic Algorithm and Simulated Annealing based Approaches to Categorical Data Clustering", In Proc. of Int. Conf. IEEE Region 10 Colloquium and the Third ICIIS, Kharagpur, India, December 2008.
I. Saha, "Effectiveness of Wavelets in Image CODEC", In Proc. of Int. Conf. ICETAETS, Rajkot, India, Vol. 1, No. 51, pp. 269-272, January 2008.
A. Mukhopadhyay and I. Saha, "Simulated Annealing based Approach to Categorical Data Clustering", In Proc. of Int. Conf. ICETAETS, Rajkot, India, Vol. 2, No. 213, pp. 2301-2307, January 2008.