International Conferences:
1. M. Mandal and A. Mukhopadhyay, “A Multiobjective PSO-based Approach for Identifying Non-redundant Gene Markers from Microarray Gene Expression Data”, In Proc. of International conference on Computing, Communication and Applications (ICCCA-2012), Dindigul, India, February 2012 (IEEE Xplore).
2. M. Mandal and A. Mukhopadhyay, “Unsupervised Non-redundant Feature Selection: A Graph-theoretic Approach”, In Proc. of International Conference on Frontiers in Intelligent Computing Theory and Application (FICTA-2012), Bhubaneswar, India, December 2012 (AISC Springer).
3. A. Mukhopadhyay and M. Mandal, “A Hybrid Multiobjective Particle Swarm Optimization Approach for Non-redundant Gene Marker Selection”, In Proc. of Bio-Inspired Computing: Theories and Applications (BIC-TA-2012), pp. 205-216, Gwalior, India, December 2012 (AISC Springer).
4. M. Mandal and A. Mukhopadhyay, “Identifying Most Relevant Non-redundant Gene Markers From Gene Expression Data Using PSO-based Graph -Theoretic Approach”, In Proc. of International Conference on Parallel, Distributed and Grid Computing (PDGC-2012), Solan, India, December 2012 (IEEE Xplore).
5. U. Marjit and M. Mandal, “Multiobjective particle swarm optimization based ontology alignment”, In Proc. of International Conference on Parallel, Distributed and Grid Computing (PDGC-2012), Solan, India, December 2012 (IEEE Xplore).
6. M. Mandal, A. Mukhopadhyay and U. Maulik, “Fuzzy Rule-based Classifier for Microarray Gene Expression Data by Using a Multiobjective PSO-based Approach”, In Proc. of IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2013), Hyderabad, India, July 2013 (IEEE Xplore).
7. M. Mandal and A. Mukhopadhyay, “A PSO-based Rank Aggregation Algorithm for Ranking Genes from Microarray Data”, In Proc. of 17th Panhellenic Conference on Informatics (PCI 2013), Thessaloniki, Greece, September, 2013 (ACM).
8. M. Mandal and A. Mukhopadhyay, “An Improved Minimum Redundancy Maximum Relevance Approach for Feature Selection in Gene Expression Data”, In Proc. CIMTA-2013, Kalyani, West Bengal, India (Procedia Technology, Vol. 10, pp. 20-27, Elsevier).
9. M. Mandal and A. Mukhopadhyay, “Predicting Protein Subcellular Localization: A Multiobjective PSO-based Feature Subset Selection from Amino Acid Sequence of Protein”, In Proc. of 13th International Conference on Information Technology, 22nd-24th Dec./2014, Bhubaneswar, India (IEEE Xplore).
10. M. Mandal, S. Maity and A. Mukhopadhyay, “Partial Rank Aggregation Using Mutiobjective Genetic Algorithm: Application in Ranking Genes”, In Proc. of 8th International Conference on Advances in Pattern Recognition, 4th-7th Jan./2015, ISI, Kolkata, India (IEEE Xplore).
11. M. Mandal, "Phytochemicals as potential inhibitors for novel coronavirus 2019-nCoV/SARS-CoV-2: a graph-based computational analysis", IAIT '21: Proceedings of the 12th International Conference on Advances in Information Technology, July/2021, Bangkok, Thailand (ACM).
12. Anamika Das, M. Mandal, "Linear Regression for Balancing Feature Relevance and Redundancy with Optimization", CODS-COMAD '24: Proceedings of the 8th International Conference on Data Science and Management of Data (12th ACM IKDD CODS and 30th COMAD), IIT Jodhpur (ACM).
13. Anamika Das, M. Mandal, "An in-depth Analysis of Eps and MinPts Selection in DBSCAN with Genetic Algorithm Optimization", In Proc. of 60th International Scientific Conference on Information, Communication and Energy Systems and Technologies, 26-28 June/2025, ICEST'2025, North Macedonia (IEEE Xplore).
Journals:
1. M. Mandal and A. Mukhopadhyay "A novel PSO-based graph-theoretic approach for identifying most relevant and non-redundant gene markers from gene expression data", International Journal of Parallel, Emergent and Distributed Systems, Taylor & Francis, Vol. 30, Issue: 3(2015), pp. 175 - 192.
2. A. Mukhopadhyay and M. Mandal, "Identifying Non-redundant Gene Markers from Microarray Data: A Multiobjective Variable Length PSO-based Approach." IEEE/ACM Transactions on Computational Biology and Bioinformatics, Vol. 11, Issue: 6(2014), pp.1170 - 1183. (Impact Factor: 1.616)
3. M. Mandal and A. Mukhopadhyay "A Graph-Theoretic Approach for Identifying Non-redundant and Relevant Gene Markers from Microarray Data Using Multiobjective Binary PSO", Plos One, Vol. 9, No. 4, 2014 (Impact Factor: 3.73)
4. M. Mandal, A. Mukhopadhyay and U. Maulik, "Prediction of protein subcellular localization by incorporating multiobjective PSO-based feature subset selection into the general form of Chou’s PseAAC", Medical and Biological Engineering and Computing, Springer, vol. 53, No. 4 (2015), pp. 331-344. (Impact Factor: 1.50)
5. M. Mandal and A. Mukhopadhyay, "A Comparative Study Among Various Statistical Tests Using Microarray Gene Expression Data", Current Bioinformatics, Vol. 10, Issue: 4(2015), pp. 377 - 392. (Impact Factor: 1.726)
6. M. Mandal, J. Mondal and A. Mukhopadhyay, "A PSO-based Approach for Pathway Marker Identification from Gene Expression Data", IEEE Transactions on Nanobioscience, Vol. 14, Issue: 6(2015), pp. 591 - 597. (Impact Factor: 1.768)
7. M. Mandal and A. Mukhopadhyay, "Multiobjective PSO-based Rank Aggregation: Application in Gene Ranking from Microarray Data", Information Sciences, Vol. 385-386, pp. 55 - 75, 2017. (Impact Factor: 3.89)
8. Monalisa Mandal, Sanjeeb Kumar Sahoo, Priyadarshan Patra, Saurav Mallik and Zhongming Zhao , "In Silico Ranking of Phenolics for Therapeutic Effectiveness on Cancer Stem Cells", BMC Bioinformatics . 2020 Dec 28;21(Suppl 21):499. doi: 10.1186/s12859-020-03849-z. (Impact Factor: 3.242).
9. Anamika Das, Monalisa Mandal, "Integrating Machine Learning and Statistical Methods for Prediction and Feature-based Network Characterization of Stress Response Protein", Computational Biology and Chemistry, Elsevier, 2025(Impact Factor: 2.6).
Book Chapters:
M. Mandal, A. Mukhopadhyay and U. Maulik, “A Genetic Algorithm based Clustering Approach for Selecting Non-redundant MicroRNA Markers from Microarray Expression Data”, in Operations Research and Optimization - Frontiers in Optimization: Theory and Application (Eds,: S. Kar, U. Maulik and X. Li), Springer, 2016 (in press).
Poster Paper:
M. Mandal, Robin Mjelle, Valeria Tica, Simona Dima, Irinel Popescu, Pål Sætrom, “Robust classification of microRNA expression profiles from hepatocellular carcinomas”, In Proc. of 13th [BC]2-the Basel Computational Biology Conference, Basel, Switzerland.