Impact Factors of top 10 journals papers: IEEE T. Pattern Analysis and Machine Intelligence (24.343), Nucleic Acids Research (19.16), Nature Communications (17.694), Journal of extracellular vesicles (17.337), ACM Computing Survey (16.6), IEEE T. Evolutionary Computation (16.496), Briefings in Bioinformatics (13.99), IEEE T. Industrial Informatics (11.648), Applied Energy (11.446), Genome Research (9.438), IEEE Transactions on Knowledge and Data Engineering (9.235),
Paper in Nature group and Bioinformatics journals:
R. Mitra, X. Chen, E. J Greenawalt, U. Maulik, W. Jiang, Z. Zhao, and C. Eischen, "Decoding critical long non-coding RNA in Ovarian cancer epithelian-to-mesenchymal transition", Nature Communications, 1604, 2017.
S. Ray and U. Maulik, “Identifying differentially co-expressed module during HIV disease progression: A multiobjective approach”, Scientific Reports, 7 (1), 86, 2017.
U. Maulik, S. Basu, and S. Ray, "Identifying protein complexes in PPI network using non-cooperative sequential game", Scientific Reports, pp. 19-25, 12(1), 2018.
A. Sarkar, A. Sarkar and U. Maulik, "Molecular docking study of potential phytochemicals and their effects on the complex of SARS-CoV2 spike protein and human ACE2 ", Scientific Reports, 10 (1), 1-15, 2020.
S. Sen, A. Dey and U. Maulik, "Studying the Effect of Alpha-Synuclein and Parkinson's Disease Linked Mutants on Inter Pathway Connectivities", Scientific Reports (Nature Publishing Group), vol. 11, Article number: 16365, 2021.
A. Dey, S. Sen and U. Maulik, ``Study of Transcription Factor Druggabilty for Prostate Cancer Using Structure Information Gene Regulatory Networks, and Protein Moonlighting", Briefings in Bioinformatics, vol. 23(1), 2022, (https://doi.org/10.1093/bib/bbab465)
S. Bose, R. Sur Chowdhury, R. Das and U. Maulik, ``Dense Dilated Deep Multiscale Supervised U-Network for Biomedical Image Segmentation", Computers in Biology and Medicine, vol. 143, pp. 1-15, 2022 (https://doi.org/10.1016/j.compbiomed.2022.105274).
R. K. Barman, A. Mukhopadhyay, U. Maulik, S. Das, ``Machine learning approaches for discriminating bacterial and viral targeted human proteins", Processes, vol. 10(2), 1-14, 2022.
R. K. Barman, A. Mukhopadhyay, U. Maulik, S. Das, ``A network biology approach to identify crucial host targets for COVID-19", Methods, vol. 203, pp. 108-115, 2022.
S. Saikia, T. Si, D. Deb, K. Bora, S. Mallik, U. Maulik and Z. Zhao, "Lesion Detection in Women Breasts Dynamic Contrast-Enhanced Magnetic Resonance Imaging using Deep Learning", Scientific Report, vol. 13, Article number: 22555, 2023.
R. Das; S. Bose; R. Sur Chowdhury and U. Maulik, ``Dense Dilated Multi-Scale Supervised Attention-Guided Network for Histopathology Image Segmentation", Computers in Biology and Medicine, vol. 23, pp. 1-18, 2023.
Selected List:
IEEE/ACM Transaction:
S. Dutta, M. Das , U. Maulik, ``Towards Causality-Based Explanation of Aerial Scene Classifiers", IEEE Geoscience and Remote Sensing Letters, no. 21, pp. 1-5, 2024.
S. Roy Chowdhury, S. Basu, U. Maulik, "Disastrous Event And Sub-Event Detection from Microblog Posts using Bi-clustering Method", IEEE Transactions on Computational Social Systems", 11(1), pp. 161-170, 2024.
U. Maulik and S. Kundu, ``Automatic Vehicle Pollution Detection using Feedback based Iterative Deep Learning", IEEE Transactions on Intelligent Transportation Systems, vol. 24, no. 5, pp. 4804-4814, 2023.
S. Kundu, U. Maulik, R. Sheshanarayana and S. Ghosh ``Vehicle Smoke Synthesis and Attention-based Deep Approach for Vehicle Smoke Detection", IEEE Transactions on Industry Applications, vol. 59, no. 2, pp. 2581-2589, 2022.
T. Bhadra and U. Maulik, ``Unsupervised Feature Selection using Iterative Shrinking and Expansion Algorithm", IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 6(6), pp. 1453-1462, 2022.
S. Roy Chowdhury, S. Basu, U. Maulik, ``Disastrous Event And Sub-Event Detection from Microblog Posts using Bi-clustering Method",
IEEE Transactions on Computational Social Systems, pp. 1-10, 2022.
R. Das, S. Sen and U. Maulik, “A Survey on Fuzzy Deep Neural Networks”, ACM Computing Survey, 53(3), 54:1-54:25, 2020.
S. Ghosh, I. Das, N. Das and U. Maulik, “Understanding Deep Learning Techniques for Image Segmentation”, ACM Computer Surveys, 52(4), pp.1-35, 2019.
S. Ray and U. Maulik, ``Discovering Perturbation of Modular Structure in HIV Progression by Integrating Multiple Data Sources Through Non-Negative Matrix Factorization”, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 15(3), pp. 869-877, 2018.
S. Ray, S. Alberuni and U. Maulik, ``Computational prediction of HCV-human protein-protein interaction via topological analysis of HCV infected PPI modules”, IEEE Transactions on NanoBioscience, 17(1), pp. 55-61, 2018.
U. Maulik and D. Chakraborty, ``A Survey of SVM-based Advanced Technique for Remote Sensing Image Classification", IEEE Geoscience and Remote Sensing Magazine, DOI:10.1109/MGRS.2016.2641240, 2017.
S. Mallik, T. Bhadra and U. Maulik, ``Identifying Epigenetic Biomarkers using Maximal Relevance and Minimal Redundancy Based Feature Selection for Multi-Omics Data”, IEEE Transactions on Nanobioscience, 16(1), pp. 3-10, 2017.
S. Basu and U. Maulik, ``A Game Theory Inspired Approach to Stable Core Decomposition on Weighted Networks"", IEEE Transactions on Knowledge and Data Engineering (TKDE), 28(5): 1105-1117, 2016.
S. Basu, U. Maulik and O. Chatterjee, ``Stability of Consensus Node Orderings Under Imperfect Network Data", IEEE Transactions on Computational Social Systems, 3(3): 120-131, 2016.
S. Mallik, T. Bhadra and U. Maulik, ``Identifying Epigenetic Biomarkers using Maximal Relevance and Minimal Redundancy Based Feature Selection for Multi-Omics Data", IEEE Transactions on Nanobioscience, 14 (1), 59-66, 2015.
B. K. Sriwastava, S. Basu and U. Maulik, ``Predicting protein-protein interaction sites with a novel membership based Fuzzy SVM classifier", IEEE/ACM Transactions Computational Biology and Bioinformatics" , 12(6), 1394-1404, 2015.
A. Sarkar and U. Maulik, "Rough Based Symmetrical Clustering for Gene Expression Profile Analysis", IEEE Transactions on NanoBioScience, 14(4):360-367, 2015.
S. Mallik, A. Mukhopadhyay and U. Maulik, ``RANWAR: Rank-Based Weighted Association Rule Mining from Gene Expression and Methylation Data", IEEE Transactions on NanoBioscience, 14(4), 360-367, 2015.
A. Mukhopadhyay, U. Maulik and S. Bandyopadhyay, "A Survey of Evolutionary Multiob-objective Clustering", ACM Computing Surveys", vol. 47, No. 4, pp. 61:1-61:46, 2015.
K. Basu, V. Debusschere, S. Bacha, U. Maulik and S. Bandyopadhyay, "Non Intrusive Load Monitoring: A Temporal Multi-Label Classification Approach", IEEE Transactions on Industrial Informatic, 11(1), pp. 262-270, 2015.
A. Mukhopadhyay, U. Maulik, S. Bandyopadhyay and C. A. Coello Coello, ``A Survey of Multi-objective Evolutionary Algorithms for Data Mining - Part I", IEEE Transactions on Evolutionary Computation,vol. 18, no. 1, pp. 4-19, 2014.
A. Mukhopadhyay, U. Maulik, S. Bandyopadhyay and C. A. Coello Coello, ``A Survey of Multi-objective Evolutionary Algorithms for Data Mining - Part II", IEEE Transactions on Evolutionary Computation, vol. 18, no. 1, pp. 20-35, 2014.
U. Maulik and D. Chakraborty, ``Fuzzy Preference Based Feature Selection and Semi supervised SVM for Cancer Classification", IEEE Transaction on Nano BioScience, 13 (2), 152-160, 2014.
D. Chakraborty and U. Maulik, "Identifying Cancer Biomarkers from Microarray Data Using Feature Selection and Semi supervised Learning", IEEE Journal of Biomedical and Health Informatics", 2, 2-11, 2014.
U. Maulik, A. Mukhopadhyay, D. Chakraborty, ``Gene-expression Based Cancer Subtypes Prediction through Feature Selection and Transductive SVM", IEEE Transaction on Biomedical Engineering, vol. 60, no. 4, pp. 1111-1117, 2013.
A. Mukhopadhyay and U. Maulik, "An SVM-wrapped Multiobjective Evolutionary Feature Selection Approach for Identifying Cancer-MicroRNA Markers", IEEE Transactions on NanoBioScience, vol. 12, no. 4, pp. 275-281, 2013.
D. Sengupta, A. Pyne, U. Maulik, and S. Bandyopadhyay, ``Reformulated Kemeny Optimal Aggregation with Application in Consensus Ranking of microRNA Targets", IEEE/ACM Transaction on Computational Biology and Bioinformatics (TCBB), vol. 10, no. 3, pp. 742-751, 2013.
U. Maulik, A. Mukhopadhyay, M. Bhattacharyya, L. Kaderali, B. Brors, S. Bandyopadhyay, and R. Eils, ``Mining Quasi-Bicliques from HIV-1-Human Protein Interaction Network: A Multiobjective Biclustering Approach", IEEE/ACM Transaction on Computational Biology and Bioinformatics (TCBB), vol. 10, no. 2, pp. 423-435, 2013.
D. Sengupta, S. Bandyopadhyay and U. Maulik, “Weighted Markov Chain Based Aggregation of Bio-molecule Orderings”, IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB), vol. 9,no. 3, pp. 924-933, 2013.
A. Mukhopadhyay, U. Maulik and S. Bandyopadhyay, "An Interactive Approach to Multiobjective Clustering of Gene Expression Patterns", IEEE Transaction on Biomedical Engineering, vol. 60, no. 1, pp. 35-41, 2012.
I. Saha, U. Maulik, S. Bandyopadhyay and D. Plewczynsk, “VMeFC: SVM ensemble Fuzzy Clustering for Satellite Image Segmentation”, IEEE Transaction on Geoscience and Remote Sensing Letters, vol. 9, No. 1, pp. 52-55, 2010.
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.
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.
U. Maulik, “Medical Image Segmentation using Genetic Algorithms”, IEEE Transactions on Information Technology in BioMedicine, vol. 13, no. 2, pp. 166-173, 2009.
A. Mukhopadhyay and U. Maulik, “Unsupervised Pixel Classification in Satellite Imagery using Multiobjective Fuzzy Clustering Combined with SVM Classifier”, IEEE Transactions on Geoscience and Remote Sensing, vol. 47, no. 4, pp. 1132 - 1138, 2009.
U. Maulik, A. Mukhopadhyay and S. Bandyopadhyay, “Finding Multiple Coherent Biclusters in Microarray Data using Variable String Length Multiobjective Genetic Algorithm”, IEEE Transactions on Information Technology in BioMedicine, vol. 13, no. 6, pp. 969-975, 2009.
A. Mukhopadhyay, U. Maulik and S. Bandyopadhyay, “Multi-objective Genetic Algorithm based Fuzzy Clustering of Categorical Attributes”, IEEE Transactions on Evolutionary Computation, vol. 13, no. 5, pp. 991-1005, 2009.
U. Maulik, “Hierarchical Pattern Discovery in Graphs”, IEEE Transactions on Systems, Man and Cybernetics, Part C, vol. 38, no. 6, pp. 867-872, 2008.
S. Bandyopadhyay, S. Saha, U. Maulik and K. Deb, “A Simulated Annealing Based Multi-objective Optimization Algorithm: AMOSA”, IEEE Transactions on Evolutionary Computation, vol. 12, no. 3, pp. 269-283, 2008.
S. Bandyopadhyay, U. Maulik and D. Roy, “Gene Identification: Classical and Computational Intelligence Approaches”, IEEE Transactions on Systems, Man and Cybernetics, Part C, pp. 55-68, 2008.
S. Bandyopadhyay, U. Maulik and A. Mukhopadhyay, “Multiobjective Genetic Clustering for Pixel Classification in Remote Sensing Imagery”, IEEE Transactions on Geoscience and Remote Sensing, vol. 45, no. 5, pp. 1506-1511, 2007.
U. Maulik and S. Bandyopadhyay, “Fuzzy Partitioning Using Real Coded Variable Length Genetic Algorithm for Pixel Classification”, IEEE Transactions on Geosciences and Remote Sensing, vol. 41, no. 5, pp. 1075-1081, 2003.
U. Maulik and S. Bandyopadhyay, “Performance Evaluation of Some Clustering Algorithms and Validity Indices”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 24, no. 12, pp. 1650-1654, 2002.
S. Bandyopadhyay and U. Maulik, “Non-parametric Genetic Clustering : Comparison of Validity Indices”, IEEE Transactions on Systems, Man and Cybernetics Part-C, vol. 31, no. 1, pp. 120-125, 2001.
Computational Biology/Bioinformatics Journals:
A. Dey, S. Sen and U. Maulik, “Unveiling SARS-COV-2 associated Organ Specific Cell Types and Cell Specific Pathway Cascade”, Briefings in Bioinformatics (accepted).
K. Gupta, M. Lalit, A. Ghosh, U. Maulik. G. Ahuja, S. Bandyopadhyay, D. Sengupta, "Modeling expression ranks for noise-tolerant differential expression analysis of scRNA-Seq data", Genome Research (accepted).
S. Sen, A. Dey, S. Bandyopadhyay, V. N. Uversky and U. Maulik, "Understanding Structural Malleability of the SARS-CoV-2 Proteins and relation to the Comorbidities", Briefings in Bioinformatics (Oxford Academy) (accepted).
S. Chowdhury, S. Sen, A. Banerjee, V. N. Uversky, U. Maulik, and K. Chattopadhyay, "Network mapping of the conformational heterogeneity of SOD1 by deploying statistical cluster analysis of FTIR spectra", Cellular and Molecular Life Sciences (accepted).
. J. P. Sarkar, I. Saha, A. Seal, D. Maity, U. Maulik, "Topological Analysis for Sequence Variability: Case Study on more than 2K SARS-CoV-2 sequences of COVID-19 infected 54 countries in comparison with SARS-CoV-1 and MERS-CoV", Infection, Genetics and Evolution (accepted).
J. P. Sarkar, I. Saha, A. Sarkar, U. Maulik, "Machine Learning Integrated Ensemble of Feature Selection Methods, followed by Survival Analysis for Predicting Breast Cancer Subtype specic miRNA Biomarkers", Computers in Biology and Medicine (accepted).
A. Dey, S. Sen, V. N. Uversky, and U. Maulik, “Structural Facets of POU2F1 in Light of the Functional Annotations and Sequence-Structure Patterns”, Journal of Biomolecular Structure and Dynamics , pp.1-13, 2020.
R. K. Barman, A. Mukhopadhyay, U. Maulik and S. Das, “Identification of infectious disease-associated host genes using machine learning techniques.” BMC Bioinformatics, 20(1), p.736, 2020.
S. Sen, A. Dey, S. Chowdhury, K. Chattopadhyay, U. Maulik, “Understanding the Evolutionary Trend of Intrinsic Structural Disorders in Cancer Relevant Proteins as probed by Shannon Entropy Scoring and Structure Network Analysis”, BMC Bioinformatics, 19(13), pp. 231-242, 2019.
A. Sannigrahi, D. Mullick, D. Sanyal, S. Sen, U. Maulik, K. Chattopadhyay, “Effect of Ergosterol on the Binding of KMP-11 with Phospholipid Membranes: Implications in Leishmaniasis”, American Chemical Society Omega, 4(3), pp. 5155-5164, 2019.
A. Sharma, A. Biswas, H. Liu, S. Sen, A. Paruchuri, P. Katsonis, O. Lichtarge, T. C. Dakal, U. Maulik, M. M. Gromiha, S. Bandyopadhyay, M. Ludwig, F. G. Holz, K. U. Loeffler1 and M. C. Herwig-Carl,“Mutational landscape of the BAP1 locus reveals an intrinsic control to regulate the miRNA network and the binding of protein complexes in Uveal Melanoma”, Cancers, 11(10), p.1600, 2019.
S. Chowdhury, S. Sen, A. Banerjee, V. N. Uversky, U. Maulik, and K. Chattopadhyay, “Network mapping of the conformational heterogeneity of SOD1 by deploying statistical cluster analysis of FTIR spectra”, Cellular and Molecular Life Sciences, PP.1-10, 2019.
A. Sannigrahi, D. Mullick, D. Sanyal, S. Sen, U. Maulik, K. Chattopadhyay, "Effect of Ergosterol on the Binding of KMP-11 with Phospholipid Membranes: Implications in Leishmaniasis", American Chemical Society Omega, 4(3), pp. 5155-5164, 2019.
Sen, A. Dey, S. Chowdhury, K. Chattopadhyay and U. Maulik, "Understanding the Evolutionary Trend of Intrinsic Structural Disorders in Cancer Relevant Proteins as probed by Shannon Entropy Scoring and Structure Network Analysis", BMC Bioinformatics, 19(13), pp. 231-242, 2019.
S. Sen and U. Maulik, "Recent advancement toward significant association between disordered transcripts and virus-infected diseases: a survey", Briefing in Functional Genomics, 17(6), pp. 458-470, 2018.
U. Maulik, S. Sen, S. Maulik and S. Bandyopadhyay, “Detecting TF-MiRNA-Gene Network Based Modules for 5hmC and 5mC Brain Samples: A Intra- and Inter-Species Case-Study Between Human and Rhesus”, BMC genetics 19(9), 2018.
S. Ray, A. Mukhopadhyay and U. Maulik, “A review of Computational Approaches for analysis of Hepatities C Virua (HCV)-mediated Liver disease”, Briefings in Functional Genomics, 2017, ( https://doi.org/10.1093/bfgp/elx040).
S. Mallik, S. Sen and U. Maulik, “IDPT: Insights into Potential Intrinsically Disordered Proteins Through Transcriptomic Analysis of Genes for Prostate Carcinoma Epigenetic Data”, Gene, vol. 586, pp. 87-96, 2016.
S. 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, 55 (7), pp. 1469-1482, 2015.
S. Mallik and U. Maulik, “MiRNA-TF-Gene Network Analysis through Ranking of Biomolecules for Multi-Informative Uterine Leiomyoma Dataset”, Journal of Biomedical Informatics, Elsevier, vol. 57, pp. 308-319, 2015.
M. Aqil, S. Mallik, S. Bandyopadhyay, U. Maulik and S. Jameel, “Transcriptomic analysis of mRNAs in human monocytic cells expressing the HIV-1 Nef protein and their exosomes”, special issue titled “Application of Systems Biology and Bioinformatics Methods in Biochemistry and Biomedicine”, BioMed Research International Article ID 492395, 2015, http://dx.doi.org/10.1155/2015/492395.
U. Maulik, S. Mallik, A. Mukhopadhyay and S. Bandyopadhyay, ”Analyzing Large Gene Expression and Methylation Data Profiles using StatBicRM: Statistical Biclusteringbased Rule Mining”, PLOS ONE, Vol. 10, No. 4, pid: e0119448, 2015.
S. Bandyopadhyay, S. Ray, A. Mukhopadhyay and U. Maulik, ``A Review of In Silico Approaches for Analysis and Prediction of HIV-1-Human Protein-Protein Interactions", Briefings in Bioinformatics, 16(5), pp. 830-851, 2015.
S. Bandyopadhyay, S. Ray, A. Mukhopadhyay and U. Maulik, “A multiobjective approach for identifying protein complexes and studying their association in multiple disorders”, Algorithms for Molecular Biology, 10: 24, 2015.
M. Aqil, A. R. Naqvi, S. Mallik, S. Bandyopadhyay, U. Maulik, S. Jameel, "The HIV Nef protein modulates cellular and exosomal miRNA profiles in human monicytic cells", Journal of extracellular vesicles, 3(1), 23129, 2014.
A. Mukhopadhyay and U. Maulik, "Network-based Study Reveals Potential Infection Pathways of Hepatitis-C Leading to Various Diseases". PLoS ONE, vol. 9, no. 4, 2014
A. Mukhopadhyay, S. Ray and U. Maulik, "Incorporating the Type and direction information in predicting novel regulatory interaction between HIV-1 and human proteins using a bi-clustering approach, BMC Bioinformatics, vol. 15, no. 26, 2014.
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.
A. Bhar, M. Haubrock, A. Mukhopadhyay, U. Maulik, S. Bandyopadhyay, and E. Wingender, "Coexpression and Coregulation Analysis of Time-Series Gene Expression Data in Estrogen-Induced Breast Cancer Cell", Algorithms for Molecular Biology, vol. 8, No. 9, 2013.[Highly Accessed]
S. Bandyopadhya, D. Sengupta and U. Maulik, "GRF: A Greedy Rank Fusion Algorithm for Combining MicroRNA Target Orderings", Molecular Informatics, vol. 32, No. 8, pp., 685-691, 2013.
B. K. Sriwastava, S. Basu, U. Maulik and D. Plewczynski, ``PPICons: identification of protein-protein interaction sites in selected organism", Journal of molecular modeling, pp. 1-12, 2013.
A. Sarkar and U. Maulik, ``Searching Remote Homology with Spectral Clustering with Symmetry in Neighborhood Cluster Kernels", PLoS ONE , vol. 8, no. 2, 2013.
I. Saha, U. Maulik, S. Bandyopadhyay and D. Plewczynsk, “Fuzzy Clustering of Physicochemical and Biochemical Properties of Amino Acids”, Amino Acids, Vol. 43, No. 2, pp. 583-594, 2012.
A. Mukhopadhyay, U. Maulik and S. Bandyopadhyay, "A Novel Biclustering Approach to Association Rule Mining for Predicting HIV-1--Human Protein Interactions", PLoS One, Vol. 7, No. 4, 2012.
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.
A. Mukhopadhyay, U. Maulik and S. Bandyopadhyay, "Gene Expression Data Analysis using Multiobjective Clustering Improved with SVM based Ensemble", In Silico Biology, Vol. 11, No. 1-2, pp. 19-27, 2012.
A. Chakraborty, S. Ghosh, G. Chowdhary, U. Maulik and S. Chakrabarti, “DBETH: A Database of Bacterial Exotoxins for Human”, Nucleic Acids Research first published online November 18, 2011 [doi:10.1093/nar/gkr942].
U. Maulik, M. Bhattacharyay, A. Muhopadhyay and S. Bandyopdhyay, “Identifying the Immunodeficiency Gate way Proteins in Human and their involvement in microRNA regulation”, Molecular Biosystem (Royal Society of Chemistry), Molecular Biosyst., vol. 7, no. 6, pp. 1842-1851, 2011.
A. Mukhopadhyay, S. Bandyopadhyay and U. Maulik, “Multiclass Clustering of Cancer Subtypes through SVM based Ensemble of Pareto-optimal Solutions for Gene Marker Identification”, PLoS One, vol. 5, no. 11, 2010.
S. Bandyopadhyay, R. Mitra, U. Maulik and M. Q. Zhang, “Development of the Human Cancer microRNA Network”, BMC Silence, 1:6, 2010.
R. Mitra, S. Bandyopadhyay, U. Maulik and M. Q. Zhang, “SFSSClass: An integrated approach for miRNA based tumor classification”, BMC Bioinformatics, 11(Suppl 1):S22, 2010.
A. Mukhopadhyay, U. Maulik and S. Bandyopadhyay, “On Biclustering of Gene Expression Data”, Current Bioinformatics, vol. 5, no. 3, pp. 204-216, 2010.
U. Maulik, A. Mukhopadhyay and S. Bandyopadhyay, “Combining Pareto-Optimal Clusters using Supervised Learning for Identifying Co-expressed Genes”, BMC Bioinformatics, 10:27, 2009.
A. Mukhopadhyay, U. Maulik and S. Bandyopadhyay, “A Novel Coherence Measure for Discovering Scaling Biclusters from Gene Expression Data”, Journal of Bioinformatics and Computational Biology, vol. 7, no. 5, pp. 853-868, 2009.
S. Bandyopadhyay, A. Mukhopadhyay and U. Maulik, “An Improved Algorithm for Clustering Gene Expression Data”, Bioionformatics, Oxford University Press, vol. 23, no. 21, pp. 2859-2865, 2007.
S. Bandyopadhyay, A. Bagchi and U. Maulik, “Active Site Driven Ligand Design: An Evolutionary Approach”, Journal of Bioinformatics and Computational Biology, vol. 3, no. 5, pp. 1053-1070, 2005.
IEE Journals:
S. Roy, U. Maulik, S. Bandyopadhyay, S. Basu and B. K. Sikdar,“Fan-in-Factor & Fan-out-Factor (FiF-FoF) Oriented BIST Design for Sequential Machine”, Proceedings IEE Computers and Digital Techniques, vol. 150, no. 3, pp. 183-188, 2003.
S. Roy, S. Bandyopadhyay, and U. Maulik, “Proof Regarding the NP-Completeness of the Unweighted Complex Triangle Elimination (CTE) Problem for General Adjacency Graphs”, Proceedings IEE-Computers and Digital Techniques, vol. 148, no. 6, pp. 238-244, 2001.
Elsevier Journals:
M. Bakshi, C. Chowdhury and U. Maulik, “Energy Efficient Cluster Head Selection Algorithm for IoT using Modified Glow-worm swarm Optimization”, Journal of Supercomputing (accepted).
S. Kundu. U. Maulik and A. Mukhopadhyay, "A Game Theory-based Approach to Fuzzy Clustering for Pixel Classication in Remote Sensing Imagery", Soft Computing (accepted).
A Bose, U Maulik, A Sarkar, ``An entropy-based membership approach on type-II fuzzy set (EMT2FCM) for biomedical image segmentation", Engineering Applications of Artificial Intelligence, 127, 107267, 2024.
. M. Ghosh, R. Sarkar, S. Sen and U. Maulik, "Quantum Squirrel inspired Algorithm for Gene Selection in Methylation and Expression data of Prostate Cancer", Applied Soft Computing Journal (accepted).
I. Saha, J. P. Sarkar and U. Maulik, "Integrated Rough Fuzzy Clustering for categorical data analysis", Fuzzy Sets and Systems, 361(15), pp. 1-32, 2019.
M. Ghosh, S. Begum, R. Sarkar, D. Chakraborty and U. Maulik, "Recursive MemeticAlgorithm for gene selection in microarray data", Expert System and Application, 116, pp. 172-185, 2019.
S. Joardar, A. Chatterjee, S. Bandyopadhyay and U. Maulik, “Multi-Size Patch based Collaborative Representation for Palm Dorsa Vein Pattern Recognition by Enhanced Ensemble Learning with Modified Interactive Artificial Bee Colony Algorithm”, Engineering Applications of Artificial Intelligence journal, vol. 60, pp. 151-163, 2017.
S. Dey, S. Bhattacharyya and U. Maulik, "Efficient quantum inspired meta-heuristics for multi-level true colour image thresholding", Applied Soft Computing, vol. 56, pp. 472-513, 2017.
J. 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.
S. Dey, S. Bhattacharyya, U. Maulik, "New quantum inspired meta-heuristic techniques for multi-level colour image thresholding", Applied Soft Computing, vol. 46, pp. 677-702, 2016.
S. Bandyopadhyay, R. Chakraborty, U. Maulik, "Priority Based Dominance: a new measure in Multiobjective Optimization", Information Science, vol. 305, pp. 97-109, 2015.
S. Bhattacharyya, U. Maulik and P. Dutta,“A Parallel Bi-Directional Self Organizing Neural Network (PBDSONN) Architecture for Color Image Extraction and Segmentation”, Neurocomputing (accepted).
U. Maulik, “Analysis of Gene Microarray Data in a Soft Computing Framework”, Applied Soft Computing, vol. 11, pp. 4152-4160, 2011.
U. Maulik and D. Chakraborty, “A Self-trained Ensemble with Semisupervised SVM: An Application to Pixel Classification of Remote Sensing Imagery”, Pattern Recognition, vol. 44, no. 3, pp. 615-623, 2011.
S. Bhattacharyya, U. Maulik and P. Dutta,“Multilevel Image Segmentation with Adaptive Image Context based Thresholding”, Applied Soft Computing, vol. 11, no. 1, pp. 946-962, 2011.
A. Mukhopadhyay and U. Maulik, “A Multiobjective Approach to MR Brain Image Segmentation”, Applied Soft Computing, vol. 11, no. 1, pp. 872-880, 2011.
I. Saha, U. Maulik, S. Bandyopadhyay and D. Plewczynsk, “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.
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, 2010.
A. Mukhopadhyay and U. Maulik, “Towards Improving Fuzzy Clustering using Support Vector Machine: Application to Gene Expression Data”, Pattern Recognition, vol. 42, no. 11, pp. 2744-2763, 2009.
U. Maulik and I. Saha, “Modified Differential Evolution based Fuzzy Clustering for Pixel Classification in Remote Sensing Imagery”, Pattern Recognition, vol. 42, pp. 2135-2149, 2009.
S. Bhattacharyya, U. Maulik and P. Dutta, “High Speed Target Tracking by Fuzzy Hostility Induced Segmentation of Optical Flow Field”, Applied Soft Computing, vol. 9, pp. 126-134, 2009.
M. K. Pakhira, S. Bandyopadhyay and U. Maulik, “A Study of Some Fuzzy Cluster Validity Indices, Genetic Clustering and Application to Pixel Classification”, Fuzzy Sets and Systems, vol. 155, pp. 191-214, 2005.
M. Pakhira, S. Bandyopadhyay and U. Maulik, “Validity Index for Crisp and Fuzzy Clusters”, Pattern Recognition, vol. 37, no. 3, pp. 487-501, 2004.
B. B. Pal, B. N. Moitra and U. Maulik, “A Goal Programming Procedure for Fuzzy Multiobjective Linear Fractional Programming Problem”, Fuzzy Sets and Systems, vol. 139, pp. 395-405, 2003.
S. Bandyopadhyay and U. Maulik, “Efficient Prototype Reordering in Nearest Neighbor Classification”, Pattern Recognition, vol. 35, pp. 2791-2799, 2002 .
S. Bandyopadhyay and U. Maulik, “An Evolutionary Technique Based on K-Means Algorithm for Optimal Clustering in RN”, Information Sciences, vol. 146, pp. 221-237, 2002.
S. Bandyopadhyay and U. Maulik, “Genetic Clustering for Automatic Evolution of Clusters and Application to Image Classification”, Pattern Recognition, vol. 35, no. 2, pp. 1197-1208, 2002.
U. Maulik and S. Bandyopadhyay, “Genetic Algorithm Based Clustering Technique”, Pattern Recognition, vol. 33, no.9, pp. 1455-1465, 2000.
U. Maulik, S. Bandyopadhyay and S. Bhattacharyya, “Fault tolerant permutation mapping in multistage interconnection network”, Journal of System Architecture, vol. 46, pp. 297 - 300, 2000.
Springer Journals:
U. Maulik and A. Sarkar, “Efficient Parallel Algorithm for Pixel Classification in Remote Sensing Imagery”, Geoinformatica (accepted).
U. Biswas, U. Maulik, A. Mukhopadhyay and M. K. Naskar, “Multiobjective Genetic Algorithm based approach to Traffic Grooming in Unidirectional SONET/WDM Rings”, Journal of Optics, vol. 39, no. 3, pp. 136-142, 2010.
S. Saha and U. Maulik, “Use of Symmetry and Stability for Data Clustering”, Journal of Evolutionary Intelligence, vol. 3, no. 3-4, pp. 103-122, 2010.
U. Biswas, A. Mukhopadhyay, U. Maulik and M. K. Naskar, “Light path protection using Genetic Algorithm through topology mapping in WDM Networks”, Journal of Optics, vol. 39, no. 1, pp. 32-39, 2010.
U. Biswas, U. Maulik, A. Mukhopadhyay and M. K. Naskar, “Multiobjective Evolutionary Approach to Cost-Effective Traffic Grooming in Unidirectional SONET/WDM Rings”, Photonic Network Communication, vol. 18, no. 1, pp. 105-115, 2009.
S. Bhattacharyya, P. Dutta, U. Maulik, “Binary Object Extraction using Bi-Directional Self-Organizing Neural Network (BDSONN) Architecture with Fuzzy Context Sensitive Thresholding”, Journal of Pattern Analysis and Applications, Vol. 10, no. 4, pp. 345-360, 2007.
S. Bandyopadhyay, C. Giannella, U. Maulik, H. Kargupta, K. Liu and S. Datta, “Clustering Distributed Data Streams in Peer-to-Peer Environments”, Information Sciences, vol. 176, no. 14, pp. 1952-1985, 2006.
U. Maulik, S. Bandyopadhyay and J. Trinder, “SAFE: An Efficient Feature Extraction Technique”, Journal of Knowledge and Information Systems, vol. 3, issue 3, pp. 374-387, 2001.
S. Bandyopadhyay, S. K. Pal and U. Maulik, “Incorporating Chromosome Differentiation in Genetic Algorithms,” Information Science, vol.104, nos. 3-4, pp. 293–319, 1998.
Papers in Wiley Journals:
S. Sarkar, U. Maulik and B. N. Biswas, ``Performance of a new split digital phase lock loop in additive wideband gaussian noise", International Journal of Adaptive Control and Signal Processing (accepted) (first published online: 25 JAN 2013 | DOI: 10.1002/acs.2385).
S. Sarkar, U. Maulik. B. Chatterjee and B. N. Biswas, "Elimination of truncation and round of error and enhancement of stability using a new split loop DPLL", Int. Journal of Communication Systems, Vol. 25, Issue 8, pp. 1059-1067, 2012.
IOS Press Journals:
S. Mallik, A. Mukhopadhyay and U. Maulik, "Integrated Statistical and Rule-Mining Techniques for DNA Methylation and Gene Expression Data Analysis", Journal of Artificial Intelligence and Soft Computing Research, vol. 3, No. 2, 2013.
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.
U. Maulik and D. Chakraborty, “A Robust Multiple Classifier System for Pixel Classification of Remote Sensing Images”, Fundamenta Informaticae, vol. 101, no. 4, pp. 286-304, 2010.
U. Maulik and A. Sarkar, “Evolutionary Rough Parallel Multi-objective Optimization Algorithm”, Fundamenta Informaticae, vol. 101, no. 4, pp. 286-304, 2010.
I. Saha, U. Maulik, S. Bandyopadhyay and D. Plewczynsk, “Unsupervised and Supervised learning approaches together for Microarray Analysis”, Fundamenta Informatica, vol. 106, no. 1, pp. 45-73, 2010.
U. Maulik and A. Mukhopadhyay, “Simulated Annealing based Automatic Fuzzy Clustering combined with ANN Classification for Analyzing Microarray Data”, Computers and Operations Research, vol. 37, no. 8, pp. 1369-1380, 2009.
A. Mukhopadhyay and U. Maulik, “Unsupervised Pixel Classification in Satellite Imagery: A Two-stage Fuzzy Clustering Approach”, Fundamenta Informaticae, vol. 86, no. 4, pp. 411-428, 2008.
Other International Journals:
S. Mallik, A. Mukhopadhyay and U. Maulik, “Integrated Statistical and Rule-Mining Techniques for DNA Methylation and Gene Expression Data Analysis”, Journal of Artificial Intelligence and Soft Computing Research (accepted).
U. Maulik, “Multi-Objective Optimization: Recent Trends and Challenges”, Annals of the Indian National Academy of Engineering, Vol. XII, pp. 135-146, 2015.
S. Bandyoapdhyay, R. Baragona and U. Maulik, “Clustering Multiobjective Time Series by Genetic Multiobjective Optimization”, Metron. vol. LXVIII, no. 2, pp. 161-183, 2010.
S. Bhattacharyya, P. Dutta and U. Maulik, “Self Organizing Neural Network (SONN) Based Gray Scale Object Extractor with a Multi Level Sigmoidal (MUSIG) Activation Function”, Foundations of Computing and Decision Sciences, vol. 33, no.2, pp. 131-165, 2008.
U. Maulik and A. Mukhopadhyay and S. Bandyopadhyay, “Efficient Clustering with Multi-class Point Identification”, Journal of Three Dimensional Images, vol. 20, no. 1, pp. 35-40, 2006.
M. K. Pakhira, S. Bandyopadhyay, U. Maulik, “An Annealing Evolution Technique for Clustering”, Foundations of Computing and Decision Sciences Journal, vol. 29, no. 4, pp. 345-372, 2004.
S. Roy, S. Bandyopadhyay, U. Maulik and B. K. Sikdar, “A Genetic Algorithm Based State Assignment Scheme for Synthesis of Testable FSMs Targeting Area and Delay”, International Journal of Engineering Intelligent Systems, vol. 10, no. 1, pp. 45-52, 2002.
J. Trinder, U. Maulik and S. Bandyopadhyay, “Semi-automated Feature Extraction Using Simulated Annealing”, International Archives on Photogrammetry and Remote Sensing (ISPRS), vol. 33 (3/2), pp. 905-909, 2000.
Papers in National Journals:
A. Basu, A. Sarkar, U. Maulik, and P. Basak, “Three dimensional structure prediction and ligand-protein interaction study of expansin protein ATEXPA23 from Arabidopsis thaliana L.”, Indian Journal of Biochemistry and Biophysics, 56, pp. 20-27, 2019.
U. Biswas, M. K. Naskar, A. Mukhopadhyay and U. Maulik, “A Heuristic Algorithm for Static Wavelength Assignment in WDM Optical Networks” IETE Technical Review, vol. 22, no. 3, pp. 199-204, 2005.
S. Roy, U. Maulik and S. Bandyopadhyay, “Search Strategies to Solve the Complex Triangle Elimination (CTE) Problem” IETE Journal of Research, vol. 50, no. 6, pp. 409-423, 2004.
U. Maulik, “Unsupervised Pattern Classification Using Genetic Algorithms”, IETE Journal of Research, vol. 48, no. 5, pp. 397-402, 2002.
S. Bandyopadhyay and U. Maulik, “An Improved Evolutionary Algorithm as Function Optimizer”, IETE Journal of Research, vol. 46, nos. 1 & 2, pp. 47-56, 2000.