1. Researcher at Dr. Alexander Schonhuth’s Laboratory, Centrum Wiskunde and Informatica (CWI), Amsterdam, Netherlands.
2. Alain Bensoussan Post-Doctoral Fellow from ERCIM at the Department of Computer and Information Science, Faculty of Information Technology, Mathematics and Electrical Engineering, Norwegian University of Science and Technology(NTNU), Trondheim, Norway.
3. Assistant Professor at the School of Computer Science and Engineering, Xavier University, Bhubaneswar, Odisha, India.
4. Assistant Professor at the Department of Computer Science and Engineering, NIT Durgapur.
My area of work includes Computational Biology, Machine Learning, Pattern Recognition and Bioinformatics.
The main focus of my thesis was cancer biomarker discovery from gene expression data. The job is to select a suitable subset of genes that provides accurate classification of the normal and cancerous tissue samples. My Post-Doctoral study is all about finding the batch effects on omics data.
| Sl.No. | Title | Name of the PI | Name of the CoPIs | Funding Agency | Amount (Rs.) | Project Type | Project Status | Date of Initiation | Date of Completion |
|---|---|---|---|---|---|---|---|---|---|
| 1 | Integrating In-Silico and Wet Lab to Identify NovelPhytochemicals for Cancer Therapy | Dr. Monalisa Mandal | Dr. Sanjeeb Kumar Sahoo | Science and Engineering Research Board and Department of Science and Technology | 1,950,000 | Sponsored | Completed | 26/11/2018 | 25/11/2021 |
| Sl.No. | Title | Name of the PI | Name of the CoPIs | Funding Agency | Amount (Rs.) | Project Type | Project Status | Date of Initiation | Date of Completion |
|---|---|---|---|---|---|---|---|---|---|
| 1 | Integrating In-Silico and Wet Lab to Identify NovelPhytochemicals for Cancer Therapy | Dr. Monalisa Mandal | Dr. Sanjeeb Kumar Sahoo | Science and Engineering Research Board and Department of Science and Technology | 1,950,000 | Sponsored | Completed | 26/11/2018 | 25/11/2021 |
| Sl.No. | Title | Name of the PI | Name of the CoPIs | Funding Agency | Amount (Rs.) | Project Type | Project Status | Date of Initiation | Date of Completion |
|---|
| ID | Details | Year |
|---|---|---|
| 2020 | 1. In silico ranking of phenolics for therapeutic effectiveness on cancer stem cells Monalisa Mandal, Sanjeeb Kumar Sahoo, Priyadarsan Patra, Saurav Mallik & Zhongming Zhao BMC Bioinformatics 21 (1-17) SCI https://doi.org/10.1186/s12859-020-03849-z BMC https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-020-03849-z | 2020 |
| 2017 | 2. Multiobjective PSO-based Rank Aggregation: Application in Gene Ranking from Microarray Data M. Mandal, A.Mukhopadhyay Information Sciences, Elsevier 385-386 (55-75) SCI 0020-0255 Elsevier https://www.sciencedirect.com/science/article/abs/pii/S0020025516322599 | 2017 |
| 2015 | 3. A PSO-based Approach for Pathway Marker Identification from Gene-Expression Data M. Mandal, J.Mondal and A.Mukhopadhyay IEEE Transactions on Nanobioscience. 14 (591-597) SCI 10.1109/TNB.2015.2425471 IEEE https://pubmed.ncbi.nlm.nih.gov/25935045/ | 2015 |
| 2015 | 4. A Comparative Study Among Various Statistical Tests Using Microarray Gene Expression Data M. Mandal, A.Mukhopadhyay Current Bioinformatics, Bentham Science 10 (377-392) ESCI 10.2174/157489361004150922125933 Bentham Science http://www.eurekaselect.com/article/70556 | 2015 |
| 2015 | 5. Prediction of Protein Subcellular Localization by Incorporating Multiobjective PSO-based Feature Subset Selection into the General form of Chou’s PseAAC M. Mandal, A.Mukhopadhyayand U. Maulik Medical and Biological Engineering and Computing, Springer 53 (331-344) SCI 0140-0118 Springer https://pubmed.ncbi.nlm.nih.gov/25564182/ | 2015 |
| 2014 | 6. Identifying Non-redundant Gene Markers from Microarray Data: A Multiobjective Variable Length PSO-based Approach A.Mukhopadhyay and M. Mandal IEEE/ACM Transactions on Computational Biology and Bioinformatics 11 (1170-1183 ESCI 10.1109/TCBB.2014.2323065. IEEE https://pubmed.ncbi.nlm.nih.gov/26357053/ | 2014 |
| 2014 | 7. A Graph-Theoretic Approach for Identifying Non-redundant and Relevant Gene Markers from Microarray Data Using Multiobjective Binary PSO M. Mandal, A.Mukhopadhyay Plos One 9 (1-13) ESCI https://doi.org/10.1371/journal.pone.0090949 Plos https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0090949 | 2014 |
| 2013 | 8. A Novel PSO-based Graph-Theoretic Approach for Identifying Most Relevant and Non-redundant Gene Markers from Gene Expression Data M. Mandal, A.Mukhopadhyay International Journal of Parallel, Emergent and Distributed Systems, Taylor and Francis 30 (175-192) SCOPUS https://doi.org/10.1080/17445760.2014.889138 Taylor and Francis https://www.tandfonline.com/doi/abs/10.1080/17445760.2014.889138 | 2013 |
| ID | Details | Year |
|---|---|---|
| 2021 | 1.M. Mandal, “Phytochemicals as potential inhibitors for novel coronavirus 2019-nCoV/SARSCoV-2: a graph-based computational analysis“ In proc. of The 12th International Conference on Advances in Information Technology (IAIT2021) 29th June-1st July 2021,Bangkok , Thailand. (ACM) | 2021 |
| 2019 | 2. M. Mandal and S. K. Sahoo, “Identifying the Relationship between Non-Stem Cancer Cell and Cancer Stem Cell Genes for Breast Cancer: An In-Silico based Approach” In the 25th Conference of the Open Innovations Association FRUCT (Finnish-Russian University Cooperation in Telecommunications), Helsinki (Finland) on 5-8 November 2019.(ACM) | 2019 |
| 2015 | 3.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) | 2015 |
| 2014 | 4.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). | 2014 |
| 2013 | 5.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) | 2013 |
| 2013 | 6.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). | 2013 |
| 2013 | 7.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). | 2013 |
| 2012 | 8.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). | 2012 |
| 2012 | 9.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) | 2012 |
| 2012 | 10.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) | 2012 |
| 2012 | 11.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) | 2012 |
| 2012 | 12.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) | 2012 |
| ID | Title |
|---|---|
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). |
1. 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). |
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1. Received Special Paper Award in IEEE sponsored International Conference PDGC-2012, Solan, India, December 2012 for the paper entitled as “Identifying Most Relevant Non-redundant Gene Markers From Gene Expression Data Using PSO-based Graph-Theoretic Approach”.
2. Received Best Paper Award (Second) in Springer sponsored International Conference BIC-TA, 2012 Gwalior, India, December 2012 for the paper entitled as “A Hybrid Multiobjective Particle Swarm Optimization Approach for Non-redundant Gene Marker Selection”.
3. Received Alain Bensoussan Post-Doctral Fellowship funded by European Research Consortium for Informatics and Mathematics at NTNU, Norway.
4. Teacher Associateship for Research Excellence (TARE) from Science and Engineering Research Board, Department of Science & Technology (DST), Government of India.
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