Soumen Kumar Pati, Ph.D

soumenkumar[dot]pati[at]makautwb[dot]ac[dot]in

Professional Experience:

2018 to Present: Associate Professor, Department of Bioinformatics, MAKAUT, WB

2006 to 2018: Assistant Professor, St. Thomas' College of Engineering and Technology, Kolkata

Education:

2017: PhD in Engineering, Microarray Data Analysis using Data Mining Techniques from Indian Institute of Engineering Science And Technology, Shibpur.

2007 : M.Tech in Computer Science & Engineering from Jadavpur University

2004 : B.Tech in Information Technology from Kalyani University, Nadia.

Research Interests:

Bio-data Analysis; Data Mining; Artificial Intelligence; Soft Computing; Pattern Recognition; Social Network Network Security; Machine Learning; Precision Agriculture.

Lab Members:

Manan Kumar Gupta, Sabyasachi Mukhopadhay, Ankita Mondal.

Publications (Book Chapters):

Rajendrani Mukherjee, Soumen Kumar Pati, Ayan Banerjee, Performance tuning of Android applications using clustering and optimization heuristics,Book: Advanced Data Mining Tools and Methods for Social Computing,Pages: 27-50, Elsevier, Academic Press, ISBN: 978-0-323-85708-6, 2022.
Soumen K. Pati, Asit K. Das, Bi-objective Genetic Algorithm with Rough Set Theory for Important Gene Selection in Disease Diagnosis. MultiObjective Optimization: Evolutionary to Hybrid Framework, Springer NatureSingapore Pte Ltd., pp. 279-298, 2018.
Soumen K Pati, Arijit Ghosh, Ayan Banerjee, Indrani Roy, Preetam Ghosh,Chiraag Kakar, Data Analysis on Cancer Disease Using Machine Learning Techniques, Advanced Machine Learning Approaches in Cancer Prognosisvol 204. pp.13 – 73, Springer, Cham.https://doi.org/10.1007/978-3-030-71975-3_2, 2021.
Soumen K Pati, Ayan Banerjee, Predicting Antiviral Drugs for COVID-19 Treatment Using Artificial Intelligence Based Approach, Understanding COVID-19: The Role of Computational Intelligence, vol 963, pp. 245-269,Springer, Cham. https://doi.org/10.1007/978-3-030-74761-9_11, 2021.

Publications (Peer reviewed Articles):

Google scholar link

Publications (Conference Papers):

Anirban Bej, Indrani Roy, Suchinta Chanda, Arijit Ghosh,Soumen Kumar Pati, “Feature Mining and Classification of Microarray Data Using Modified ResNet-SVM Architecture”, Computational Intelligence in Pattern Recognition, Advances in Intelligent Systems and Computing, vol 1349, pp. 317-328, 2021.
Manna S., Roy I., Majumder D., Banerjee A., Pati S.K., Multiple Data Integration Using Joint Non-negative Matrix Factorization, Computational Intelligence in Pattern Recognition, Advances in Intelligent Systems and Computing, vol 1349, 667-677, 2021.
Ayan Banerjee, Soumen K. Pati, Manan K. Gupta, “Dimension Reduction of Microarray Data Using Gene Ontology and Correlation Filter”,Computational Intelligence in Pattern Recognition, Springer, CIPR, pp. 303-313, 2020.
Sweta Manna, Soumen K. Pati, “Missing Value Imputation Using Correlation Coefficient”, Computational Intelligence in Pattern Recognition,Springer, CIPR, pp. 551-558, 2020.
Soumen K. Pati, Asit K. Das, “Computational Intelligence in Microarray Data Analysis”, International Conference on Emerging Technologies in Data Mining and Information Security, IEMIS-2018, Doctoral Symposium, 2018.
Soumen K. Pati, Subhankar Mallick, Aruna Chakraborty, Ankur Das,“Informative Gene Selection using Clustering and Gene Ontology”,International Conference on Emerging Technologies in Data Mining and Information Security”, IEMIS-2018, Springer, Singapore, pp. 417-427, 2019.
Ayan Chatteerjee, Tanmoy Bera, Soumen K. Pati, Asit K. Das, “A Data hiding scheme with digital authentication using parity checkers”,International Conference on Soft Computing in Data Analytics, SCDA-2018.Soft Computing in Data Analytics, Springer, Singapore, pp. 125-135, 2019.
Ayan Chatterjee, Soumen Kumar Pati, “Data Hiding with Digital Authentication in Spatial Domain Image Steganography”, Computational Intelligence in Pattern Recognition, CIPR-2019, Springer, pp. 897-907.
Soumen K. Pati, Saprshi Sengupta, Asit K. Das, “Improved Genetic Algorithm for Selecting Significant Genes in Cancer Diagnosis”, Advanced Computing and Intelligent Engineering, ICACIE, pp. 395-405, 2017.
Soumen K. Pati, Asit. K. Das, Arka Ghosh, “Gene Selection using Multi-Objective Genetic Algorithm integrating Cellular Automata and Rough Set Theory”, Swarm, Evolutionary and Memetic Computing (SEMCCO), LNCS8298, Springer, pp. 144-155, 2013.
Soumen K. Pati, Asit. K. Das, “Optimal Samples Selection from Gene Expression Microarray Data using Relational Algebra and Clustering Technique”, Proceedings of the InConINDIA, AISC 132, Springer, pp. 507-514, 2012.
Soumen K. Pati, Asit. K. Das, “Gene Selection and Classification Rule Generation for Microarray dataset”, Proceedings of the AIAA 2012,Advances in Computing and Information Technology(ACITY), Springer,vol. 3, pp.73-83, 2012.
Asit K. Das, Soumen K. Pati, Saikat Chakrabarty, Ajizul H. Sahaji,“Applying Restrained Genetic Algorithm for Attribute Reduction Using Attribute Dependency and Discernibility Matrix”, Information Processing-ICIP 2012, Bangalore, Communication in Computer and Information Science, Springer, pp. 299-308, 2012.
Asit K. Das, Soumen K. Pati, Saikat Chakrabarty, “Reduct Generation of Microarray dataset using Rough Set and Graph Theory for Unsupervised Learning”, Computational Science, Engineering and Information Technology(CCSEIT), ACM International Conference Proceeding Series (ICPS), pp.549-555, 2012.
Asit K. Das, Soumen K. Pati, “Gene Subset Selection for Cancer Classification Using Statistical and Rough Set Approach”, Swarm, Evolutionary and Memetic Computing (SEMCCO), LNCS 7677, Springer,pp. 294-302, 2012.
Soumen K. Pati, Asit. K. Das, “Missing Value Estimation of Microarray Data Using Similarity Measurement”, Swarm, Evolutionary and Memetic Computing (SEMCCO), LNCS 7677, Springer, pp. 602-610, 2012.

Publications (Conference Presentations):

Soumen K. Pati gave an oral presentation of the paper, Gene Subset Selection for Cancer Classification Using Statistical and Rough Set Approach, Swarm, Evolutionary and Memetic Computing (SEMCCO),LNCS 7677, Springer, 2012.
Soumen K. Pati gave an oral presentation of the paper, Missing Value Estimation of Microarray Data Using Similarity Measurement, Swarm,Evolutionary and Memetic Computing (SEMCCO), LNCS 7677, Springer,2012.
Soumen K. Pati gave an oral presentation of the paper, Computational Intelligence in Microarray Data Analysis, International Conference on Emerging Technologies in Data Mining and Information Security, IEMIS-2018, Doctoral Symposium, Springer, 2018.
Soumen K. Pati gave a lecture in the workshop, Emerging Technology in Computing (WETC-2011), St. Thomas’ College of Engineering &Technology, 2018

Publications (International Journal):

Soumen Kumar Pati, Manan Kumar Gupta, Rinita Shai, Ayan Banerjee,Arijit Ghosh, Anirban Bej, “Missing value estimation of microarray data using Sim-GAN”, Knowledge and Information Systems. Springer, 2022, https://doi.org/10.1007/s10115-022-01718-0 ,
Indrani Roy, Rinita Shai, Arijit Ghosh, Anirban Bej, Soumen Kumar Pati,“CoWarriorNet: A Novel Deep-Learning Framework for CoVID-19 Detection from Chest X-Ray Images”, New generation computing, Springer,pp. 1-25, 2021.
A.K. Rout, S. Paramanik, B. Dehury, V. Acharya, H.S. Swain, S.K. Pradhan,B. Behera, Soumen K. Pati, B.K. Behera, B.K. Das, “Elucidating the molecular interaction of Zebrafish (Danio rerio) peptidoglycan recognition protein 2 with diaminopimelic acid and lysine type peptidoglycans using in silico approaches”, Journal of Biomolecular Structure and Dynamics, Taylor & Francis, vol. 38 (12), pp. 3687-3699, 2019, https://doi.org/10.1080/07391102.2019.1666742 .
Soumen K. Pati, Asit. K. Das, “Gene Subset Selection using Multi-objective Genetic Algorithm for Cancer Classification”, Journal of Universal Computer Science (Special Issue), Vol. 24, No 6, pp. 682-710, 2018.
Soumen K. Pati, Asit K. Das, “Relevant feature selection and ensemble classifier design using bi-objective genetic algorithm”, Knowledge and Information Systems. Springer, vol. 62, pp. 423–455, 2020, doi:10.1007/s10115-019-01341-6.
Soumen K. Pati, Asit. K. Das, “A Missing Value Estimation Technique of Microarray data using Cluster Analysis”, Knowledge and Information Systems, Springer, Vol. 52, pp. 709-750, 2017, DOI 10.1007/s10115-017-1025-5.
Soumen K. Pati, Asit. K. Das, “Ensemble Classifier Design Selecting Important Genes based on Extracted Features”, International Journal of Data mining and Bioinformatics, Inder Science, Vol. 19, No. 2, pp. 117-149, 2017.
Soumen K. Pati, Asit. K. Das, “Mining of Important Informative Genes and Classifier construction for cancer dataset”, International Journal on Soft Computing (IJSC), ISSN: 2229-6735, vol. 3, no. 3, pp. 69-83, 2012.
Soumen K. Pati, Asit. K. Das, “Rough Set and Statistical Method for Both Way Reduction of Microarray Cancer Dataset”, International Journal of Information Processing (IJIP), ISSN: 0973-8215, Vol. 6, Issue 3, 2012.
Soumen K. Pati, Asit. K. Das, “Gene Selection Constructing Minimal Spanning Tree based on Rough set Theory”, International Journal of Artificial Intelligence & Applications (IJAIA), DOI :10.5121/ijaia.2012.3609, Vol.3, No.6, pp. 81-94, 2012.
Soumen K. Pati, Asit. K. Das, “Cluster Analysis of Microarray data based on Similarity Measurement”, International Journal of Bioinformatics Research, Bioinfo publication, ISSN: 0975-3087, vol. 3, Issue 2, pp. 207-213, 2011.